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LinkedIn Learning

Advance Your Python Skills for Data Science

via LinkedIn Learning Path

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Overview

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

Courses under this program:
Course 1: 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 2: 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 3: Data Science Foundations: Python Scientific Stack
-Learn how to use the Python scientific stack to solve problems and complete common data science tasks.

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: 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.

Courses

Taught by

Lillian Pierson, P.E., Miki Tebeka, Michele Vallisneri and Ben Sullins

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