In this path, you’ll learn how to use application program interfaces (APIs) and powerful web scraping tools to create truly unique and targeted datasets. You’ll also learn how to automate the process of putting unstructured data into an organized and understandable dataset.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Performing queries on external data sources using an API with R
Collect data from the web using a variety of web scraping tools
Identify and overcoming common setbacks in practical data analysis
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Projects in this path
8 Skills You Need to Become a Data Analyst
Learn the key skills required to get a job as a Data Analyst.Read Article
Data Engineer, Data Analyst, Data Scientist — What’s the Difference?
Learn which data role is right for you.Read Article
Do You Need a Certificate to Become a Data Analyst?
Find out if you need a certification to become a Data Analyst.Read Article
An Objective Comparison Between R vs Python for Data Analysis
Determine whether R or Python will work better for you.Read Article
Web Scraping NBA Stats With Python: Data Project
Learn web scraping and predict which NBA player will win MVPWatch Video
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