Advance Your Python Skills for Data Science

Quickly learn the general programming principles and methods for Python, and then begin applying that knowledge to using Python in data science-related development.

Learn data science applications of Python.
Discover ways to supplement your understanding of Python.
Solve data science challenges in Python.

Syllabus

Courses under this program:
Course 1: Python for Data Science and Machine Learning Essential Training Part 2
-In the second half of this two-part course, explore the essentials of using Python for data science and machine learning.

Course 2: Python for Data Science and Machine Learning Essential Training Part 1
-Learn Python programming skills for data science and machine learning. Discover how to clean, transform, analyze, and visualize data, as you build a practical, real-world project.

Course 3: Data Science Foundations: Python Scientific Stack [CoderPad]
-Learn about the Python scientific stack, with an emphasis on how to use it to solve problems.

Course 4: Python Data Analysis
-Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small.

Course 5: More Python Tips, Tricks, and Techniques for Data Science
-Deliver valuable insights to your users with Python. Get practical tips and techniques that can help you enhance your Python data science workflow.

Course 6: Level Up: Python Data Acquisitions, Prep, and EDA
-Hone your Python skills related to data acquisitions, prep, and exploratory data analysis (EDA).

Taught by

Joe Marini, Miki Tebeka, Bill Weinman, Lillian Pierson, P.E., Lillian Pierson, P.E., Miki Tebeka, Michele Vallisneri, Ben Sullins, Michael Galarnyk and Michele Vallisneri