Introduction to Python Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with numpy.
Introduction to SQL Master the basics of querying tables in relational databases such as MySQL, Oracle, SQL Server, and PostgreSQL.
Intermediate Python Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Python Data Science Toolbox (Part 1) Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
Introduction to Importing Data in Python Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
Python Data Science Toolbox (Part 2) Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Cleaning Data in Python This course will equip you with all the skills you need to clean your data in Python.
Statistical Thinking in Python (Part 1) Build the foundation you need to think statistically and to speak the language of your data.
Intermediate Importing Data in Python Improve your Python data importing skills and learn to work with web and API data.
Statistical Thinking in Python (Part 2) Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
