There are 8 modules in this course
Module
1
Introduction to Data Analysis
Prepare to learn Data Analysis by understanding how and why it is used.
Module
2
Introduction to Python
Learn the fundamentals of Python, one of the most popular programming languages for Data Analysis.
Module
3
NumPy: A Python Library for Statistics
Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.
Module
4
Data Manipulation with Pandas
Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.
Module
5
Data Visualization with Matplotlib
Insights mean nothing if you can’t present them and convince others that the findings are important. But how do we present data in Python?
Module
6
Statistics for Data Analysis
Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.
Module
7
Hypothesis Testing with SciPy
Learn SciPy, a Python module for comparative statistics, in order to perform many different statistical tests in code.
Module
8
Final Projects
Put your new analysis skills to work with a series of case studies and capstone projects.
Frequently Asked Questions
Frequently Asked Questions