In this path, you’ll explore the basics of Python programming from preparing data all the way to predicting trends from real-world data. You’ll learn the fundamentals of Python, how to use Jupyter notebooks, work with numerical and text data and basic object-oriented programming.
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.
Programming with Python to perform complex statistical analysis of large datasets
Using Jupyter notebooks to create and share documents
Working with text, date, and time data
Performing object-oriented and functional programming with Python
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Projects in this path
8 Skills You Need to Become a Data Analyst
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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
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