Python Data Analytics

Instructor: Victor Geislinger

Beginner Level • 2 weeks at 10 hours a week • Flexible Schedule

What You'll Learn

  • Sort, query, and structure data in Pandas, the Python library
  • Describe how to model and interpret data using Python
  • Create basic data visualizations with Python libraries

Skills You'll Gain

Exploratory Data Analysis
Matplotlib
Pandas (Python Package)
Data Manipulation
Data Visualization Software
Data Cleansing
Data analysis
Python Programming
Data Processing
Programming Principles
Jupyter
Data Modeling
Scripting

Shareable Certificate

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Outcomes

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Meta

There are 5 modules in this course

In this module you will be introduced to Python and how it can be used in data analytics. You will also learn how to use the Jupyter Notebook programming environment.

In this module, you will learn basic programming principles such as variables and variable types using Python. You’ll also delve into basic Python statements such as Booleans and conditional statements.

This week is focused on using a Python library called Pandas. You will learn how to use Pandas to load, select, and clean data.

This week you will further explore and analyze datasets with Python. You will learn how to calculate basic statistics and create data visualizations with Pandas and Matplotlib, another Python library.

This week you will focus on modeling data with Python and interpreting the model results. You complete a data analytics challenge that applies the knowledge of Python and the application of the OSEMN framework you have gained throughout the course.