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DATA SCIENCE CAREER QUESTION #1: "IS DATA SCIENCE FOR ME Perfect. A delicious read which I believe accurately sums-up the required profile for such a job. Many people nowadays tend to rush and jump on the Data Science “Hype Train” without taking the time to understand that it is not just a job and not as accessible as advertised online, in SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR The company has 546 employees, so both tables have 546 rows. Print every department where the average salary per employee is lower than $500! (Note: I created this test question based on a real SQL interview question that I heard from a friend, who applied at one of the biggest social media companies (name starts with ‘F.’ :)) WEB SCRAPING TUTORIAL -- EPISODE #1 -- SCRAPING A WEBPAGE Running hobby projects is the best way to practice data science before getting your first job. And one of the best ways to get real data for a hobby project is: web scraping. I’ve been promising this for a long time to my course participants – so here it is: my web scraping tutorial series for aspiring data scientists!. I’ll show you step bystep how you can:
WHAT'S THE BEST COMPUTER/LAPTOP FOR A DATA SCIENTIST? Hey! I’m actually going to start my data science course at the university this year and I’ve been looking at a good laptop to buy lately. The course will be for a period of 3 years and I’ll have to use softwares such as Python , R , SAS , Tableau etc. HOW TO IMPORT DATA INTO SQL TABLES TUTORIAL (3 METHODS) A few comments on the .csv import method. I typed \COPY and not just COPY because my SQL user doesn’t have SUPERUSER privileges, so technically I could not use the COPY command (this is an SQL thing). Typing \COPY instead is the simplest workaround — but the best solution would be to give yourself SUPERUSER privileges then use the original COPY command.SQL WHERE CLAUSE
This is the second episode of my SQL for Data Analysis (for beginners) series, and today I’ll show you every tiny little detail of the SQL WHERE clause.It’s not by accident that I’ve dedicated a whole article to this topic; the WHERE clause is essential if you want to select the right bit of your data from your data table!. In the first half of this article I’ll show you the different DATA36SQL INTERVIEW QUESTIONSPANDAS TUTORIAL 2PYTHON LIBRARIES AND PACKAGES FOR DATA SCIENTISTS Hey, I'm Tomi Mester. This is my data blog, where I give you a sneak peek into online data analysts' best practices. You will find articles and videos about data analysis, HOW TO SCRAPE MULTIPLE WEB PAGES (BEAUTIFUL SOUP TUTORIAL 2.) You see, by adding normalize=True to .value_counts(), instead of exact numbers, we get the relative frequencies of the unique values in formats_series.So the 761 paperback books constitute around 75% of all bestseller books – nice! Following the same steps we can easily create a while loop for the publication years and prices as well. BEAUTIFUL SOUP TUTORIAL 1. (INTRODUCTION TO WEB SCRAPING As a data scientist or data analyst, sooner or later you’ll come to a point where you have to collect large amounts of data. Be it a hobby project or a freelance job, when APIs are just not available, one of your best options is web scrapingAnd one of the best web scraping tools is Beautiful Soup! HOW TO CREATE UTM CODES AND TRACK YOUR URLS Using UTM codes (campaign, source, medium, term, content) is the simplest and most accurate way to track your campaigns' performance inGoogle Analytics.
DATA SCIENCE CAREER QUESTION #1: "IS DATA SCIENCE FOR ME Perfect. A delicious read which I believe accurately sums-up the required profile for such a job. Many people nowadays tend to rush and jump on the Data Science “Hype Train” without taking the time to understand that it is not just a job and not as accessible as advertised online, in SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR The company has 546 employees, so both tables have 546 rows. Print every department where the average salary per employee is lower than $500! (Note: I created this test question based on a real SQL interview question that I heard from a friend, who applied at one of the biggest social media companies (name starts with ‘F.’ :)) THE STRUCTURE OF YOUR DATA TEAM. THE FLOW OF THE DATA IN Smaller companies have smaller data teams (maybe just one person), bigger companies have bigger. The tricky thing is that the several different aspects of a data project need several very different kindof skills.
NEGOTIATING THE DATA SCIENCE JOB SALARY. SHOULD YOU DO THAT? Hey, I'm Tomi Mester. This is my data blog, where I give you a sneak peek into online data analysts' best practices. You will find articles and videos about data analysis, AB-testing, research, data science andmore
MY COMPUTER SETUP FOR DATA SCIENCE (APPS, SOFTWARE Hey, I'm Tomi Mester. This is my data blog, where I give you a sneak peek into online data analysts' best practices. You will find articles and videos about data analysis, AB-testing, research, data science andmore
DATA SCIENCE MENTOR
Finding a data science mentor is tricky Well, finding a mentor for any profession is tricky! You know, the best minds that you would love tolearn from are
SQL WHERE CLAUSE
This is the second episode of my SQL for Data Analysis (for beginners) series, and today I’ll show you every tiny little detail of the SQL WHERE clause.It’s not by accident that I’ve dedicated a whole article to this topic; the WHERE clause is essential if you want to select the right bit of your data from your data table!. In the first half of this article I’ll show you the different WEB SCRAPING TUTORIAL -- EPISODE #1 -- SCRAPING A WEBPAGE Running hobby projects is the best way to practice data science before getting your first job. And one of the best ways to get real data for a hobby project is: web scraping. I’ve been promising this for a long time to my course participants – so here it is: my web scraping tutorial series for aspiring data scientists!. I’ll show you step bystep how you can:
PRESENTATION TIPS FOR DATA PROFESSIONALS (The links are affiliate links, but I added the non-affiliate versions of them, too.) Presentation ZEN: If you read only one book on presenting well, it should be this one. It’s a good read with nice stories — and at the same time jam-packed with value. PANDAS TUTORIAL 5: SCATTER PLOT WITH PANDAS AND MATPLOTLIB Scatter plots are frequently used in data science and machine learning projects. In this pandas tutorial, I’ll show you two simple methods to plot one. Both solutions will be PYTHON IF STATEMENTS EXPLAINED (PYTHON FOR DATA SCIENCE We use if statements in our everyday life all the time – even if our everyday life is not written in Python.If the light is green then I’ll cross the road; otherwise I’ll wait.If the sun is up then I’ll get out of bed; otherwise I’ll go back to sleep. Okay, maybe it’s not this direct, but when we take actions based on conditions, our brain does what a computer would do: evaluate HOW TO EVANGELIZE DATA-DRIVEN CULTURE AND BREAK DOWN DATA Hey, I'm Tomi Mester. This is my data blog, where I give you a sneak peek into online data analysts' best practices. You will find articles and videos about data analysis, AB-testing, research, data science andmore
DATA36SQL INTERVIEW QUESTIONSPANDAS TUTORIAL 2PYTHON LIBRARIES AND PACKAGES FOR DATA SCIENTISTS The Junior Data Scientist’s First Month (Video Course) 100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup. WHAT IS DATA SCIENCE? (INTRODUCTION FOR BEGINNERS) To become a data scientist, you have to be familiar with statistical concepts like: statistical averages, statistical biases, correlation analysis, probability theory, functions — machine learning algorithms, of course — and so on. 3. Business knowledge. The thirdtopic is
HOW TO SCRAPE MULTIPLE WEB PAGES (BEAUTIFUL SOUP TUTORIAL 2.) Scraping multiple web pages with a while loop. To complete this tutorial, we’ll need to use the same libraries from the previous article, so don’t forget to import them: from bs4 import BeautifulSoup as bs. import requests. import numpy as np. import pandas as pd. import matplotlib.pyplot as plt. %matplotlib inline. BEAUTIFUL SOUP TUTORIAL 1. (INTRODUCTION TO WEB SCRAPING As a data scientist or data analyst, sooner or later you’ll come to a point where you have to collect large amounts of data. Be it a hobby project or a freelance job, when APIs are just not available, one of your best options is web scrapingAnd one of the best web scraping tools is Beautiful Soup! SCRAPING MULTIPLE PAGES AND URLS WITH FOR LOOPS (WEB This is the second episode of my web scraping tutorial series. In the first episode, I showed you how you can get and clean the data from one single web page.In this one, you’ll learn how to scrape multiple web pages (3,000+ URLs!) automatically, with one 20-line long bash script.. This is going to be fun! Note: This is a hands-on tutorial. WHAT'S THE BEST COMPUTER/LAPTOP FOR A DATA SCIENTIST? And they backed it up, too: A Dell XPS laptop fits very well for the needs of a data scientist. E.g. a DELL XPS 13″ with 8GB memory and with a core i5 processor seems to be a great alternative to a 13″ MacBook Pro. Dell XPS (Photo by Ra Dragon on Unsplash) As I describedabove, I
DATA SCIENCE CAREER QUESTION #1: "IS DATA SCIENCE FOR ME 4. You enjoy coding (and sitting in one place for hours) A big part of a data scientist’s daily job is coding; during your data career you will write a bunch of scripts, automations and programs. You have to keep in mind that coding is a very introverted activity. You sit SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR SQL Interview Question #3. You have two SQL tables! The first one is called employees and it contains the employee names, the unique employee ids and the department names of a company. Sample: department_name. employee_id. employee_name. Sales. 123. PANDAS TUTORIAL 5: SCATTER PLOT WITH PANDAS AND MATPLOTLIB In this pandas tutorial, I’ll show you two simple methods to plot one. Both solutions will be equally useful and quick: one will be using pandas (more precisely: pandas.plot.scatter ()) the other one using matplotlib ( matplotlib.pyplot.scatter ()) Let’s see them — LEARN SQL FOR DATA ANALYSIS FROM SCRATCH (10+1 ARTICLES) SQL has been around for more than 40 years and it will be here for at least the next 40. I put together an article series called SQL for Data Analysis – Tutorial for Beginners with 10 + 1 articles. By reading it, you can learn SQL in a very practical and fun way. If you want to become absolutely confident with SQL, check out my SQL onlinecourse!
DATA36SQL INTERVIEW QUESTIONSPANDAS TUTORIAL 2PYTHON LIBRARIES AND PACKAGES FOR DATA SCIENTISTS The Junior Data Scientist’s First Month (Video Course) 100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup. BEAUTIFUL SOUP TUTORIAL 1. (INTRODUCTION TO WEB SCRAPING As a data scientist or data analyst, sooner or later you’ll come to a point where you have to collect large amounts of data. Be it a hobby project or a freelance job, when APIs are just not available, one of your best options is web scrapingAnd one of the best web scraping tools is Beautiful Soup! WHAT IS DATA SCIENCE? (INTRODUCTION FOR BEGINNERS) To become a data scientist, you have to be familiar with statistical concepts like: statistical averages, statistical biases, correlation analysis, probability theory, functions — machine learning algorithms, of course — and so on. 3. Business knowledge. The thirdtopic is
HOW TO SCRAPE MULTIPLE WEB PAGES (BEAUTIFUL SOUP TUTORIAL 2.) Scraping multiple web pages with a while loop. To complete this tutorial, we’ll need to use the same libraries from the previous article, so don’t forget to import them: from bs4 import BeautifulSoup as bs. import requests. import numpy as np. import pandas as pd. import matplotlib.pyplot as plt. %matplotlib inline. SCRAPING MULTIPLE PAGES AND URLS WITH FOR LOOPS (WEB This is the second episode of my web scraping tutorial series. In the first episode, I showed you how you can get and clean the data from one single web page.In this one, you’ll learn how to scrape multiple web pages (3,000+ URLs!) automatically, with one 20-line long bash script.. This is going to be fun! Note: This is a hands-on tutorial. WHAT'S THE BEST COMPUTER/LAPTOP FOR A DATA SCIENTIST? And they backed it up, too: A Dell XPS laptop fits very well for the needs of a data scientist. E.g. a DELL XPS 13″ with 8GB memory and with a core i5 processor seems to be a great alternative to a 13″ MacBook Pro. Dell XPS (Photo by Ra Dragon on Unsplash) As I describedabove, I
DATA SCIENCE CAREER QUESTION #1: "IS DATA SCIENCE FOR ME 4. You enjoy coding (and sitting in one place for hours) A big part of a data scientist’s daily job is coding; during your data career you will write a bunch of scripts, automations and programs. You have to keep in mind that coding is a very introverted activity. You sit SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR SQL Interview Question #3. You have two SQL tables! The first one is called employees and it contains the employee names, the unique employee ids and the department names of a company. Sample: department_name. employee_id. employee_name. Sales. 123. PANDAS TUTORIAL 5: SCATTER PLOT WITH PANDAS AND MATPLOTLIB In this pandas tutorial, I’ll show you two simple methods to plot one. Both solutions will be equally useful and quick: one will be using pandas (more precisely: pandas.plot.scatter ()) the other one using matplotlib ( matplotlib.pyplot.scatter ()) Let’s see them — LEARN SQL FOR DATA ANALYSIS FROM SCRATCH (10+1 ARTICLES) SQL has been around for more than 40 years and it will be here for at least the next 40. I put together an article series called SQL for Data Analysis – Tutorial for Beginners with 10 + 1 articles. By reading it, you can learn SQL in a very practical and fun way. If you want to become absolutely confident with SQL, check out my SQL onlinecourse!
WHAT IS DATA SCIENCE? (INTRODUCTION FOR BEGINNERS) To become a data scientist, you have to be familiar with statistical concepts like: statistical averages, statistical biases, correlation analysis, probability theory, functions — machine learning algorithms, of course — and so on. 3. Business knowledge. The thirdtopic is
THE STRUCTURE OF YOUR DATA TEAM. THE FLOW OF THE DATA IN The flow of data in different data teams. First, let’s see how already established Data Teams are doing it at bigger companies. Usually the whole process starts with the Tracking Team, which is responsible for data collection. They pass the data to the Data Infrastructure Team, which takes care of the data storage. DATA ANALYTICS BASICS (INTRO FOR ASPIRING DATA PROFESSIONALS) Data Analytics Basics: Statistics + Coding + Business Thinking. To be a fully featured data professional, you have to be good at all three! I don’t think I have to explain why Statistics is important. Data is about numbers – and when you are working with numbers, you have to be confident with statistical and mathematical concepts. WEB SCRAPING TUTORIAL -- EPISODE #1 -- SCRAPING A WEBPAGE Running hobby projects is the best way to practice data science before getting your first job. And one of the best ways to get real data for a hobby project is: web scraping. I’ve been promising this for a long time to my course participants – so here it is: my web scraping tutorial series for aspiring data scientists!. I’ll show you step bystep how you can:
DATA SCIENCE CAREER QUESTION #1: "IS DATA SCIENCE FOR ME 4. You enjoy coding (and sitting in one place for hours) A big part of a data scientist’s daily job is coding; during your data career you will write a bunch of scripts, automations and programs. You have to keep in mind that coding is a very introverted activity. You sit LEARN SQL FOR DATA ANALYSIS FROM SCRATCH (10+1 ARTICLES) SQL has been around for more than 40 years and it will be here for at least the next 40. I put together an article series called SQL for Data Analysis – Tutorial for Beginners with 10 + 1 articles. By reading it, you can learn SQL in a very practical and fun way. If you want to become absolutely confident with SQL, check out my SQL onlinecourse!
NEGOTIATING THE DATA SCIENCE JOB SALARY. SHOULD YOU DO THAT? Hey, I'm Tomi Mester. This is my data blog, where I give you a sneak peek into online data analysts' best practices. You will find articles and videos about data analysis, AB-testing, research, data science andmore
HOW TO CREATE UTM CODES AND TRACK YOUR URLS Here’s how it works: Add the website URL. Define the campaign source. Add the medium. Add a campaign name. The tool will automatically generate the campaign URL. From here on, all you need to do is share the link the tool generate on the right channels and medium and look at the results in GA. PYTHON IF STATEMENTS EXPLAINED (PYTHON FOR DATA SCIENCE We use if statements in our everyday life all the time – even if our everyday life is not written in Python.If the light is green then I’ll cross the road; otherwise I’ll wait.If the sun is up then I’ll get out of bed; otherwise I’ll go back to sleep. Okay, maybe it’s not this direct, but when we take actions based on conditions, our brain does what a computer would do: evaluate HOW TO IMPORT DATA INTO SQL TABLES TUTORIAL (3 METHODS) A few comments on the .csv import method. I typed \COPY and not just COPY because my SQL user doesn’t have SUPERUSER privileges, so technically I could not use the COPY command (this is an SQL thing). Typing \COPY instead is the simplest workaround — but the best solution would be to give yourself SUPERUSER privileges then use the original COPY command. DATA36SQL INTERVIEW QUESTIONSPANDAS TUTORIAL 2PYTHON LIBRARIES AND PACKAGES FOR DATA SCIENTISTS The Junior Data Scientist’s First Month (Video Course) 100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup. WHAT IS DATA SCIENCE? (INTRODUCTION FOR BEGINNERS) To become a data scientist, you have to be familiar with statistical concepts like: statistical averages, statistical biases, correlation analysis, probability theory, functions — machine learning algorithms, of course — and so on. 3. Business knowledge. The thirdtopic is
HOW TO SCRAPE MULTIPLE WEB PAGES (BEAUTIFUL SOUP TUTORIAL 2.) Scraping multiple web pages with a while loop. To complete this tutorial, we’ll need to use the same libraries from the previous article, so don’t forget to import them: from bs4 import BeautifulSoup as bs. import requests. import numpy as np. import pandas as pd. import matplotlib.pyplot as plt. %matplotlib inline. BEAUTIFUL SOUP TUTORIAL 1. (INTRODUCTION TO WEB SCRAPING As a data scientist or data analyst, sooner or later you’ll come to a point where you have to collect large amounts of data. Be it a hobby project or a freelance job, when APIs are just not available, one of your best options is web scrapingAnd one of the best web scraping tools is Beautiful Soup! SCRAPING MULTIPLE PAGES AND URLS WITH FOR LOOPS (WEB This is the second episode of my web scraping tutorial series. In the first episode, I showed you how you can get and clean the data from one single web page.In this one, you’ll learn how to scrape multiple web pages (3,000+ URLs!) automatically, with one 20-line long bash script.. This is going to be fun! Note: This is a hands-on tutorial. WHAT'S THE BEST COMPUTER/LAPTOP FOR A DATA SCIENTIST? And they backed it up, too: A Dell XPS laptop fits very well for the needs of a data scientist. E.g. a DELL XPS 13″ with 8GB memory and with a core i5 processor seems to be a great alternative to a 13″ MacBook Pro. Dell XPS (Photo by Ra Dragon on Unsplash) As I describedabove, I
DATA SCIENCE CAREER QUESTION #1: "IS DATA SCIENCE FOR ME 4. You enjoy coding (and sitting in one place for hours) A big part of a data scientist’s daily job is coding; during your data career you will write a bunch of scripts, automations and programs. You have to keep in mind that coding is a very introverted activity. You sit SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR SQL Interview Question #3. You have two SQL tables! The first one is called employees and it contains the employee names, the unique employee ids and the department names of a company. Sample: department_name. employee_id. employee_name. Sales. 123. PANDAS TUTORIAL 5: SCATTER PLOT WITH PANDAS AND MATPLOTLIB In this pandas tutorial, I’ll show you two simple methods to plot one. Both solutions will be equally useful and quick: one will be using pandas (more precisely: pandas.plot.scatter ()) the other one using matplotlib ( matplotlib.pyplot.scatter ()) Let’s see them — LEARN SQL FOR DATA ANALYSIS FROM SCRATCH (10+1 ARTICLES) SQL has been around for more than 40 years and it will be here for at least the next 40. I put together an article series called SQL for Data Analysis – Tutorial for Beginners with 10 + 1 articles. By reading it, you can learn SQL in a very practical and fun way. If you want to become absolutely confident with SQL, check out my SQL onlinecourse!
DATA36SQL INTERVIEW QUESTIONSPANDAS TUTORIAL 2PYTHON LIBRARIES AND PACKAGES FOR DATA SCIENTISTS The Junior Data Scientist’s First Month (Video Course) 100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup. WHAT IS DATA SCIENCE? (INTRODUCTION FOR BEGINNERS) To become a data scientist, you have to be familiar with statistical concepts like: statistical averages, statistical biases, correlation analysis, probability theory, functions — machine learning algorithms, of course — and so on. 3. Business knowledge. The thirdtopic is
HOW TO SCRAPE MULTIPLE WEB PAGES (BEAUTIFUL SOUP TUTORIAL 2.) Scraping multiple web pages with a while loop. To complete this tutorial, we’ll need to use the same libraries from the previous article, so don’t forget to import them: from bs4 import BeautifulSoup as bs. import requests. import numpy as np. import pandas as pd. import matplotlib.pyplot as plt. %matplotlib inline. BEAUTIFUL SOUP TUTORIAL 1. (INTRODUCTION TO WEB SCRAPING As a data scientist or data analyst, sooner or later you’ll come to a point where you have to collect large amounts of data. Be it a hobby project or a freelance job, when APIs are just not available, one of your best options is web scrapingAnd one of the best web scraping tools is Beautiful Soup! SCRAPING MULTIPLE PAGES AND URLS WITH FOR LOOPS (WEB This is the second episode of my web scraping tutorial series. In the first episode, I showed you how you can get and clean the data from one single web page.In this one, you’ll learn how to scrape multiple web pages (3,000+ URLs!) automatically, with one 20-line long bash script.. This is going to be fun! Note: This is a hands-on tutorial. WHAT'S THE BEST COMPUTER/LAPTOP FOR A DATA SCIENTIST? And they backed it up, too: A Dell XPS laptop fits very well for the needs of a data scientist. E.g. a DELL XPS 13″ with 8GB memory and with a core i5 processor seems to be a great alternative to a 13″ MacBook Pro. Dell XPS (Photo by Ra Dragon on Unsplash) As I describedabove, I
DATA SCIENCE CAREER QUESTION #1: "IS DATA SCIENCE FOR ME 4. You enjoy coding (and sitting in one place for hours) A big part of a data scientist’s daily job is coding; during your data career you will write a bunch of scripts, automations and programs. You have to keep in mind that coding is a very introverted activity. You sit SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR SQL Interview Question #3. You have two SQL tables! The first one is called employees and it contains the employee names, the unique employee ids and the department names of a company. Sample: department_name. employee_id. employee_name. Sales. 123. PANDAS TUTORIAL 5: SCATTER PLOT WITH PANDAS AND MATPLOTLIB In this pandas tutorial, I’ll show you two simple methods to plot one. Both solutions will be equally useful and quick: one will be using pandas (more precisely: pandas.plot.scatter ()) the other one using matplotlib ( matplotlib.pyplot.scatter ()) Let’s see them — LEARN SQL FOR DATA ANALYSIS FROM SCRATCH (10+1 ARTICLES) SQL has been around for more than 40 years and it will be here for at least the next 40. I put together an article series called SQL for Data Analysis – Tutorial for Beginners with 10 + 1 articles. By reading it, you can learn SQL in a very practical and fun way. If you want to become absolutely confident with SQL, check out my SQL onlinecourse!
WHAT IS DATA SCIENCE? (INTRODUCTION FOR BEGINNERS) To become a data scientist, you have to be familiar with statistical concepts like: statistical averages, statistical biases, correlation analysis, probability theory, functions — machine learning algorithms, of course — and so on. 3. Business knowledge. The thirdtopic is
THE STRUCTURE OF YOUR DATA TEAM. THE FLOW OF THE DATA IN The flow of data in different data teams. First, let’s see how already established Data Teams are doing it at bigger companies. Usually the whole process starts with the Tracking Team, which is responsible for data collection. They pass the data to the Data Infrastructure Team, which takes care of the data storage. DATA ANALYTICS BASICS (INTRO FOR ASPIRING DATA PROFESSIONALS) Data Analytics Basics: Statistics + Coding + Business Thinking. To be a fully featured data professional, you have to be good at all three! I don’t think I have to explain why Statistics is important. Data is about numbers – and when you are working with numbers, you have to be confident with statistical and mathematical concepts. WEB SCRAPING TUTORIAL -- EPISODE #1 -- SCRAPING A WEBPAGE Running hobby projects is the best way to practice data science before getting your first job. And one of the best ways to get real data for a hobby project is: web scraping. I’ve been promising this for a long time to my course participants – so here it is: my web scraping tutorial series for aspiring data scientists!. I’ll show you step bystep how you can:
DATA SCIENCE CAREER QUESTION #1: "IS DATA SCIENCE FOR ME 4. You enjoy coding (and sitting in one place for hours) A big part of a data scientist’s daily job is coding; during your data career you will write a bunch of scripts, automations and programs. You have to keep in mind that coding is a very introverted activity. You sit LEARN SQL FOR DATA ANALYSIS FROM SCRATCH (10+1 ARTICLES) SQL has been around for more than 40 years and it will be here for at least the next 40. I put together an article series called SQL for Data Analysis – Tutorial for Beginners with 10 + 1 articles. By reading it, you can learn SQL in a very practical and fun way. If you want to become absolutely confident with SQL, check out my SQL onlinecourse!
NEGOTIATING THE DATA SCIENCE JOB SALARY. SHOULD YOU DO THAT? Hey, I'm Tomi Mester. This is my data blog, where I give you a sneak peek into online data analysts' best practices. You will find articles and videos about data analysis, AB-testing, research, data science andmore
HOW TO CREATE UTM CODES AND TRACK YOUR URLS Here’s how it works: Add the website URL. Define the campaign source. Add the medium. Add a campaign name. The tool will automatically generate the campaign URL. From here on, all you need to do is share the link the tool generate on the right channels and medium and look at the results in GA. PYTHON IF STATEMENTS EXPLAINED (PYTHON FOR DATA SCIENCE We use if statements in our everyday life all the time – even if our everyday life is not written in Python.If the light is green then I’ll cross the road; otherwise I’ll wait.If the sun is up then I’ll get out of bed; otherwise I’ll go back to sleep. Okay, maybe it’s not this direct, but when we take actions based on conditions, our brain does what a computer would do: evaluate HOW TO IMPORT DATA INTO SQL TABLES TUTORIAL (3 METHODS) A few comments on the .csv import method. I typed \COPY and not just COPY because my SQL user doesn’t have SUPERUSER privileges, so technically I could not use the COPY command (this is an SQL thing). Typing \COPY instead is the simplest workaround — but the best solution would be to give yourself SUPERUSER privileges then use the original COPY command. DATA36SQL INTERVIEW QUESTIONSPANDAS TUTORIAL 2PYTHON LIBRARIES AND PACKAGES FOR DATA SCIENTISTS The Junior Data Scientist’s First Month (Video Course) 100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup. THE STRUCTURE OF YOUR DATA TEAM. THE FLOW OF THE DATA IN The flow of data in different data teams. First, let’s see how already established Data Teams are doing it at bigger companies. Usually the whole process starts with the Tracking Team, which is responsible for data collection. They pass the data to the Data Infrastructure Team, which takes care of the data storage. LEARNING DATA SCIENCE (4 UNTOLD TRUTHS) Untold truth #1: Learning Data Science is Hard! Learning data science is not easy. It will take a lot of work, a lot of energy and a lot of time from you. I have seen an ad recently in my Instagram feed that said: “Take this course and master data science in 1 month!”. WHAT'S THE BEST COMPUTER/LAPTOP FOR A DATA SCIENTIST? And they backed it up, too: A Dell XPS laptop fits very well for the needs of a data scientist. E.g. a DELL XPS 13″ with 8GB memory and with a core i5 processor seems to be a great alternative to a 13″ MacBook Pro. Dell XPS (Photo by Ra Dragon on Unsplash) As I describedabove, I
SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR SQL Interview Question #3. You have two SQL tables! The first one is called employees and it contains the employee names, the unique employee ids and the department names of a company. Sample: department_name. employee_id. employee_name. Sales. 123. HOW TO SCRAPE MULTIPLE WEB PAGES (BEAUTIFUL SOUP TUTORIAL 2.) Scraping multiple web pages with a while loop. To complete this tutorial, we’ll need to use the same libraries from the previous article, so don’t forget to import them: from bs4 import BeautifulSoup as bs. import requests. import numpy as np. import pandas as pd. import matplotlib.pyplot as plt. %matplotlib inline. HOW TO CREATE UTM CODES AND TRACK YOUR URLS Here’s how it works: Add the website URL. Define the campaign source. Add the medium. Add a campaign name. The tool will automatically generate the campaign URL. From here on, all you need to do is share the link the tool generate on the right channels and medium and look at the results in GA.SQL WHERE CLAUSE
This is the second episode of my SQL for Data Analysis (for beginners) series, and today I’ll show you every tiny little detail of the SQL WHERE clause.It’s not by accident that I’ve dedicated a whole article to this topic; the WHERE clause is essential if you want to select the right bit of your data from your data table!. In the first half of this article I’ll show you the different PYTHON IF STATEMENTS EXPLAINED (PYTHON FOR DATA SCIENCESEE MORE ONDATA36.COM
PYTHON FOR LOOPS AND IF STATEMENTS COMBINED (DATA SCIENCESEE MORE ONDATA36.COM
DATA36SQL INTERVIEW QUESTIONSPANDAS TUTORIAL 2PYTHON LIBRARIES AND PACKAGES FOR DATA SCIENTISTS The Junior Data Scientist’s First Month (Video Course) 100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup. THE STRUCTURE OF YOUR DATA TEAM. THE FLOW OF THE DATA IN The flow of data in different data teams. First, let’s see how already established Data Teams are doing it at bigger companies. Usually the whole process starts with the Tracking Team, which is responsible for data collection. They pass the data to the Data Infrastructure Team, which takes care of the data storage. HOW TO SCRAPE MULTIPLE WEB PAGES (BEAUTIFUL SOUP TUTORIAL 2.) Scraping multiple web pages with a while loop. To complete this tutorial, we’ll need to use the same libraries from the previous article, so don’t forget to import them: from bs4 import BeautifulSoup as bs. import requests. import numpy as np. import pandas as pd. import matplotlib.pyplot as plt. %matplotlib inline. LEARNING DATA SCIENCE (4 UNTOLD TRUTHS) Untold truth #1: Learning Data Science is Hard! Learning data science is not easy. It will take a lot of work, a lot of energy and a lot of time from you. I have seen an ad recently in my Instagram feed that said: “Take this course and master data science in 1 month!”. WHAT'S THE BEST COMPUTER/LAPTOP FOR A DATA SCIENTIST? And they backed it up, too: A Dell XPS laptop fits very well for the needs of a data scientist. E.g. a DELL XPS 13″ with 8GB memory and with a core i5 processor seems to be a great alternative to a 13″ MacBook Pro. Dell XPS (Photo by Ra Dragon on Unsplash) As I describedabove, I
SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR SQL Interview Question #3. You have two SQL tables! The first one is called employees and it contains the employee names, the unique employee ids and the department names of a company. Sample: department_name. employee_id. employee_name. Sales. 123. HOW TO CREATE UTM CODES AND TRACK YOUR URLS Here’s how it works: Add the website URL. Define the campaign source. Add the medium. Add a campaign name. The tool will automatically generate the campaign URL. From here on, all you need to do is share the link the tool generate on the right channels and medium and look at the results in GA.SQL WHERE CLAUSE
This is the second episode of my SQL for Data Analysis (for beginners) series, and today I’ll show you every tiny little detail of the SQL WHERE clause.It’s not by accident that I’ve dedicated a whole article to this topic; the WHERE clause is essential if you want to select the right bit of your data from your data table!. In the first half of this article I’ll show you the different PYTHON IF STATEMENTS EXPLAINED (PYTHON FOR DATA SCIENCESEE MORE ONDATA36.COM
PYTHON FOR LOOPS AND IF STATEMENTS COMBINED (DATA SCIENCESEE MORE ONDATA36.COM
LEARNING DATA SCIENCE (4 UNTOLD TRUTHS) Untold truth #1: Learning Data Science is Hard! Learning data science is not easy. It will take a lot of work, a lot of energy and a lot of time from you. I have seen an ad recently in my Instagram feed that said: “Take this course and master data science in 1 month!”. DATA ANALYTICS BASICS (INTRO FOR ASPIRING DATA PROFESSIONALS) Data Analytics Basics: Statistics + Coding + Business Thinking. To be a fully featured data professional, you have to be good at all three! I don’t think I have to explain why Statistics is important. Data is about numbers – and when you are working with numbers, you have to be confident with statistical and mathematical concepts. BEAUTIFUL SOUP TUTORIAL 1. (INTRODUCTION TO WEB SCRAPING As a data scientist or data analyst, sooner or later you’ll come to a point where you have to collect large amounts of data. Be it a hobby project or a freelance job, when APIs are just not available, one of your best options is web scrapingAnd one of the best web scraping tools is Beautiful Soup! PYTHON IF STATEMENTS EXPLAINED (PYTHON FOR DATA SCIENCE We use if statements in our everyday life all the time – even if our everyday life is not written in Python.If the light is green then I’ll cross the road; otherwise I’ll wait.If the sun is up then I’ll get out of bed; otherwise I’ll go back to sleep. Okay, maybe it’s not this direct, but when we take actions based on conditions, our brain does what a computer would do: evaluate PYTHON FOR LOOPS EXPLAINED (PYTHON FOR DATA SCIENCE BASICS #5) How to install Python, R, SQL and bash to practice data science! Python for Data Science #1 – Tutorial for Beginners – Python Basics. Python for Data Science #2 – Data Structures. Python for Data Science #3 – Functions and methods. Python for Data Science #4– If statements.
PANDAS TUTORIAL 1: PANDAS BASICS (READ_CSV, DATAFRAME Now, go back to your Jupyter Notebook (that I named ‘pandas_tutorial_1’) and open this freshly created .csv file in it! Again, the function that you have to use is: read_csv () Type this to a new cell: pd.read_csv ('zoo.csv', delimiter = ',') And there yougo! This is
SQL FUNCTIONS (SUM, AVG, COUNT, ETC...) & THE GROUP BY CLAUSE Today I’ll show you the most essential SQL functions that you will use for finding the maximums or the minimums (MAX, MIN) in a data set and to calculate aggregates (SUM, AVG, COUNT).Then I’ll show you some intermediate SQL clauses (ORDER BY, GROUP BY, DISTINCT) that you have to know to efficiently use SQL for data analysis!And this is going to be super exciting, as we will HOW TO IMPORT DATA INTO SQL TABLES TUTORIAL (3 METHODS) A few comments on the .csv import method. I typed \COPY and not just COPY because my SQL user doesn’t have SUPERUSER privileges, so technically I could not use the COPY command (this is an SQL thing). Typing \COPY instead is the simplest workaround — but the best solution would be to give yourself SUPERUSER privileges then use the original COPY command. VARIABLES, IF STATEMENTS AND WHILE LOOPS IN BASH (DATA copy-paste your while code (don’t forget the shebang: #!/usr/bin/env bash) Click “ Quit” on the bottom right corner and name your script something like while.sh. Give the rights to execute your script from the command line: chmod 700 while.sh. Run the script: ./while.sh. HOW TO CREATE A TABLE IN SQL (CREATE TABLE) Now, create a new table using the CREATE TABLE syntax we learned above — replacing the placeholders with real values! I’ll create a table for storing the imaginary chemistry test results of an imaginary class. CREATE TABLE test_results ( name TEXT, student_id INTEGER, birth_date DATE, test_result DECIMAL, grade TEXT, passed BOOLEAN ); DATA36SQL INTERVIEW QUESTIONSPANDAS TUTORIAL 2PYTHON LIBRARIES AND PACKAGES FOR DATA SCIENTISTS The Junior Data Scientist’s First Month (Video Course) 100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup. THE STRUCTURE OF YOUR DATA TEAM. THE FLOW OF THE DATA IN The flow of data in different data teams. First, let’s see how already established Data Teams are doing it at bigger companies. Usually the whole process starts with the Tracking Team, which is responsible for data collection. They pass the data to the Data Infrastructure Team, which takes care of the data storage. LEARNING DATA SCIENCE (4 UNTOLD TRUTHS) Untold truth #1: Learning Data Science is Hard! Learning data science is not easy. It will take a lot of work, a lot of energy and a lot of time from you. I have seen an ad recently in my Instagram feed that said: “Take this course and master data science in 1 month!”. WHAT'S THE BEST COMPUTER/LAPTOP FOR A DATA SCIENTIST? And they backed it up, too: A Dell XPS laptop fits very well for the needs of a data scientist. E.g. a DELL XPS 13″ with 8GB memory and with a core i5 processor seems to be a great alternative to a 13″ MacBook Pro. Dell XPS (Photo by Ra Dragon on Unsplash) As I describedabove, I
SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR SQL Interview Question #3. You have two SQL tables! The first one is called employees and it contains the employee names, the unique employee ids and the department names of a company. Sample: department_name. employee_id. employee_name. Sales. 123. HOW TO SCRAPE MULTIPLE WEB PAGES (BEAUTIFUL SOUP TUTORIAL 2.) Scraping multiple web pages with a while loop. To complete this tutorial, we’ll need to use the same libraries from the previous article, so don’t forget to import them: from bs4 import BeautifulSoup as bs. import requests. import numpy as np. import pandas as pd. import matplotlib.pyplot as plt. %matplotlib inline. HOW TO CREATE UTM CODES AND TRACK YOUR URLS Here’s how it works: Add the website URL. Define the campaign source. Add the medium. Add a campaign name. The tool will automatically generate the campaign URL. From here on, all you need to do is share the link the tool generate on the right channels and medium and look at the results in GA.SQL WHERE CLAUSE
This is the second episode of my SQL for Data Analysis (for beginners) series, and today I’ll show you every tiny little detail of the SQL WHERE clause.It’s not by accident that I’ve dedicated a whole article to this topic; the WHERE clause is essential if you want to select the right bit of your data from your data table!. In the first half of this article I’ll show you the different PYTHON IF STATEMENTS EXPLAINED (PYTHON FOR DATA SCIENCESEE MORE ONDATA36.COM
PYTHON FOR LOOPS AND IF STATEMENTS COMBINED (DATA SCIENCESEE MORE ONDATA36.COM
DATA36SQL INTERVIEW QUESTIONSPANDAS TUTORIAL 2PYTHON LIBRARIES AND PACKAGES FOR DATA SCIENTISTS The Junior Data Scientist’s First Month (Video Course) 100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup. THE STRUCTURE OF YOUR DATA TEAM. THE FLOW OF THE DATA IN The flow of data in different data teams. First, let’s see how already established Data Teams are doing it at bigger companies. Usually the whole process starts with the Tracking Team, which is responsible for data collection. They pass the data to the Data Infrastructure Team, which takes care of the data storage. LEARNING DATA SCIENCE (4 UNTOLD TRUTHS) Untold truth #1: Learning Data Science is Hard! Learning data science is not easy. It will take a lot of work, a lot of energy and a lot of time from you. I have seen an ad recently in my Instagram feed that said: “Take this course and master data science in 1 month!”. WHAT'S THE BEST COMPUTER/LAPTOP FOR A DATA SCIENTIST? And they backed it up, too: A Dell XPS laptop fits very well for the needs of a data scientist. E.g. a DELL XPS 13″ with 8GB memory and with a core i5 processor seems to be a great alternative to a 13″ MacBook Pro. Dell XPS (Photo by Ra Dragon on Unsplash) As I describedabove, I
SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR SQL Interview Question #3. You have two SQL tables! The first one is called employees and it contains the employee names, the unique employee ids and the department names of a company. Sample: department_name. employee_id. employee_name. Sales. 123. HOW TO SCRAPE MULTIPLE WEB PAGES (BEAUTIFUL SOUP TUTORIAL 2.) Scraping multiple web pages with a while loop. To complete this tutorial, we’ll need to use the same libraries from the previous article, so don’t forget to import them: from bs4 import BeautifulSoup as bs. import requests. import numpy as np. import pandas as pd. import matplotlib.pyplot as plt. %matplotlib inline. HOW TO CREATE UTM CODES AND TRACK YOUR URLS Here’s how it works: Add the website URL. Define the campaign source. Add the medium. Add a campaign name. The tool will automatically generate the campaign URL. From here on, all you need to do is share the link the tool generate on the right channels and medium and look at the results in GA.SQL WHERE CLAUSE
This is the second episode of my SQL for Data Analysis (for beginners) series, and today I’ll show you every tiny little detail of the SQL WHERE clause.It’s not by accident that I’ve dedicated a whole article to this topic; the WHERE clause is essential if you want to select the right bit of your data from your data table!. In the first half of this article I’ll show you the different PYTHON IF STATEMENTS EXPLAINED (PYTHON FOR DATA SCIENCESEE MORE ONDATA36.COM
PYTHON FOR LOOPS AND IF STATEMENTS COMBINED (DATA SCIENCESEE MORE ONDATA36.COM
LEARNING DATA SCIENCE (4 UNTOLD TRUTHS) Untold truth #1: Learning Data Science is Hard! Learning data science is not easy. It will take a lot of work, a lot of energy and a lot of time from you. I have seen an ad recently in my Instagram feed that said: “Take this course and master data science in 1 month!”. DATA ANALYTICS BASICS (INTRO FOR ASPIRING DATA PROFESSIONALS) Data Analytics Basics: Statistics + Coding + Business Thinking. To be a fully featured data professional, you have to be good at all three! I don’t think I have to explain why Statistics is important. Data is about numbers – and when you are working with numbers, you have to be confident with statistical and mathematical concepts. BEAUTIFUL SOUP TUTORIAL 1. (INTRODUCTION TO WEB SCRAPING As a data scientist or data analyst, sooner or later you’ll come to a point where you have to collect large amounts of data. Be it a hobby project or a freelance job, when APIs are just not available, one of your best options is web scrapingAnd one of the best web scraping tools is Beautiful Soup! PYTHON IF STATEMENTS EXPLAINED (PYTHON FOR DATA SCIENCE We use if statements in our everyday life all the time – even if our everyday life is not written in Python.If the light is green then I’ll cross the road; otherwise I’ll wait.If the sun is up then I’ll get out of bed; otherwise I’ll go back to sleep. Okay, maybe it’s not this direct, but when we take actions based on conditions, our brain does what a computer would do: evaluate PYTHON FOR LOOPS EXPLAINED (PYTHON FOR DATA SCIENCE BASICS #5) How to install Python, R, SQL and bash to practice data science! Python for Data Science #1 – Tutorial for Beginners – Python Basics. Python for Data Science #2 – Data Structures. Python for Data Science #3 – Functions and methods. Python for Data Science #4– If statements.
PANDAS TUTORIAL 1: PANDAS BASICS (READ_CSV, DATAFRAME Now, go back to your Jupyter Notebook (that I named ‘pandas_tutorial_1’) and open this freshly created .csv file in it! Again, the function that you have to use is: read_csv () Type this to a new cell: pd.read_csv ('zoo.csv', delimiter = ',') And there yougo! This is
SQL FUNCTIONS (SUM, AVG, COUNT, ETC...) & THE GROUP BY CLAUSE Today I’ll show you the most essential SQL functions that you will use for finding the maximums or the minimums (MAX, MIN) in a data set and to calculate aggregates (SUM, AVG, COUNT).Then I’ll show you some intermediate SQL clauses (ORDER BY, GROUP BY, DISTINCT) that you have to know to efficiently use SQL for data analysis!And this is going to be super exciting, as we will HOW TO IMPORT DATA INTO SQL TABLES TUTORIAL (3 METHODS) A few comments on the .csv import method. I typed \COPY and not just COPY because my SQL user doesn’t have SUPERUSER privileges, so technically I could not use the COPY command (this is an SQL thing). Typing \COPY instead is the simplest workaround — but the best solution would be to give yourself SUPERUSER privileges then use the original COPY command. VARIABLES, IF STATEMENTS AND WHILE LOOPS IN BASH (DATA copy-paste your while code (don’t forget the shebang: #!/usr/bin/env bash) Click “ Quit” on the bottom right corner and name your script something like while.sh. Give the rights to execute your script from the command line: chmod 700 while.sh. Run the script: ./while.sh. HOW TO CREATE A TABLE IN SQL (CREATE TABLE) Now, create a new table using the CREATE TABLE syntax we learned above — replacing the placeholders with real values! I’ll create a table for storing the imaginary chemistry test results of an imaginary class. CREATE TABLE test_results ( name TEXT, student_id INTEGER, birth_date DATE, test_result DECIMAL, grade TEXT, passed BOOLEAN ); * 6-week Online Course * How to Become a Data Scientist * Inner Circle (Free Learning Materials)* Blog
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Hey, I'm Tomi Mester. This is my data blog, where I give you a sneak peek into online data analysts' best practices. You will find articles and videos about data analysis, AB-testing, research, data science and more…2020 Data36 .
Powered by WordPress . THE JUNIOR DATA SCIENTIST’S FIRST MONTH (VIDEO COURSE) 100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup. LEARN SQL FOR DATA ANALYSIS – FROM SCRATCH Learning SQL is very useful for anyone in the online world. And it’s a definite must for Data Analysts/Scientists! Here are 8 articles tostart with…
LEARN PYTHON 3 FOR DATA SCIENCE – FROM SCRATCH I put together a ‘Python 3 for Data Science’ tutorial series starting from the very basics. It features 9 practical articles – that covers everything you need to know! LEARN DATA ANALYTICS IN BASH – FROM SCRATCH Read these 7 free articles about Bash/Command Line and take your very first step to learn the basics of coding for Data Science! 3 A/B TESTING MISCONCEPTIONS In my previous landing page A/B test case study, I promised to get back to you with a few A/B testing misconceptions. In this article, I’ll share three… LANDING PAGE A/B TEST ON DATA36 (A/B TESTING CASE STUDY) Today, I’d like to give you an insight into an A/B test that I recently ran on my own blog, data36.com. In the last few years, theData36…
A/B TESTING CULTURE (WITHIN YOUR COMPANY) Many companies are using A/B testing. But not too many of them are using it successfully. I mean, yeah, everyone has a few winning A/Btests that she…
STATISTICAL SIGNIFICANCE IN A/B TESTING (AND HOW PEOPLE MISINTERPRETPROBABILITY)
A few years ago we were running a major homepage A/B test with one of my clients. Huge traffic, huge potential, huge expectations — andhuge risk, of…
DATA SCIENCE PROJECTS FOR BOOSTING YOUR RESUME We all know the old catch-22 — you need a job to get job experience and job experience to get a job. Luckily, that’s not entirely truein…
DATA BEATS OPINION… OR DOES IT? Data Science is trending! Year by year more and more online businesses start their first data science projects, build up their data teams, hire more data scientists and… DATA SCIENCE FOR BUSINESS Doing Data Science without a sense of business is like playing chess without the kings on the board. For every business, making its products or services better is… LEARNING DATA SCIENCE – 4 UNTOLD TRUTHS Did you flirt with the idea of learning data science? You are not alone. This has been a really hot topic in the last few years andit…
A 10-MINUTE CRASH COURSE ON GOOGLE DATA STUDIO This is a guest post from Ben Collins – freelance data analyst and developer, and founder of The Collins School of Data. What is Google Data Studio? Data… PRESENTATION TIPS FOR DATA PROFESSIONALS Not so long ago, I saw one of my data scientist friends speak in front of his whole company. He worked for two months on a great data… HOW TO BE A MORE PRODUCTIVE DATA SCIENTIST? DON’T DO MORE, DO ITSMARTER!
A few years ago, I put a lot of work into a hobby project of mine: a self-learning Python chatbot that learns like a newborn baby. Itwas…
SQL INTERVIEW QUESTIONS: 3 TECH SCREENING EXERCISES (FOR DATAANALYSTS)
Over the last 6 years I’ve been part of many job interviews – on both sides of the table. The most fun, but also the most feared,part…
PANDAS TUTORIAL 3: IMPORTANT DATA FORMATTING METHODS (MERGE, SORT, RESET_INDEX, FILLNA) This is the third episode of my pandas tutorial series. In this one I’ll show you four data formatting methods that you might use a lotin data…
PANDAS TUTORIAL 2: AGGREGATION AND GROUPING Let’s continue with the pandas tutorial series. This is the second episode, where I’ll introduce aggregation (such as min, max, sum, count, etc.) and grouping. Both are very… PANDAS TUTORIAL 1: PANDAS BASICS (READING DATA FILES, DATAFRAMES, DATASELECTION)
Pandas is one of the most popular Python libraries for Data Science and Analytics. I like to say it’s the “SQL of Python.” Why? Because pandas helps you… PYTHON LIBRARIES AND PACKAGES FOR DATA SCIENTISTS (THE 5 MOSTIMPORTANT ONES)
Did you know that Python wasn’t originally built for Data Science? And yet today it’s one of the best languages for statistics, machine learning, and predictive analytics as… PYTHON IMPORT STATEMENT AND THE MOST IMPORTANT BUILT-IN MODULES FORDATA SCIENTISTS
So far we have worked with the most essential concepts of Python: variables, data structures, built-in functions and methods, for loops, and if statements. These are all parts… PYTHON SYNTAX ESSENTIALS AND BEST PRACTICES In my Python workshops and online courses I see that one of the trickiest things for newcomers is the syntax itself. It’s very strict and many things might… PYTHON FOR LOOPS AND IF STATEMENTS COMBINED (PYTHON FOR DATA SCIENCEBASICS #6)
Last time I wrote about Python For Loops and If Statements. Today we will talk about how to combine them. In this article, I’ll show you– through a…
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