Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Master Python for Data Science

via LinkedIn Learning

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
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 the basics of Python as an object-oriented programming language.
  • Apply Python coding skills to analytics uses.
  • Explore the Python scientific stack of tools.

Syllabus

  • Course 1: Learning Python (2020)
    • Get started with Python, the popular and highly-readable object-oriented language.
  • Course 2: Data Ingestion with Python
    • Learn how to use Python tools and techniques to solve one of the main challenges data scientists face: getting good data to train their algorithms.
  • Course 3: Python Essential Training
    • Review the syntax of this simple programming language, and learn how to write scripts, create modules, and integrate a database with Python 3 and the Python database API.
  • Course 4: Python for Data Science Essential Training Part 1
    • Learn Python programming for data science. Discover how to clean, transform, analyze, and visualize data, as you build a practical project: an automated web scraper.
  • Course 5: Python for Data Science Essential Training Part 2
    • Learn Python programming for data science. Part 2 describes how to use machine learning to generate predictions and recommendations and automate routine tasks.
  • Course 6: Data Science Foundations: Python Scientific Stack
    • Learn how to use the Python scientific stack to complete data science tasks. Find out how to work with pandas for data crunching, NumPy for numeric computation, and more.
  • Course 7: 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 8: Python for Data Science Tips, Tricks, & Techniques
    • Learn 12 techniques for how to work with data using Python. Review how to explore data, ingest data, visualize data, and more.
  • Course 9: Python for Data Visualization
    • Build accurate, engaging, and easy-to-generate data visualizations using the popular programming language Python.
  • Course 10: Python Statistics Essential Training
    • Extend your basic knowledge of statistics by building analytics skills using Python and powerful third-party libraries.

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

Reviews

Start your review of Master Python for Data Science

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.