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

Coursera

Python Data Analytics

Meta via Coursera

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
This course introduces the use of the Python programming language to manipulate datasets as an alternative to spreadsheets. You will follow the OSEMN framework of data analysis to pull, clean, manipulate, and interpret data all while learning foundational programming principles and basic Python functions. You will be introduced to the Python library, Pandas, and how you can use it to obtain, scrub, explore, and visualize data. By the end of this course you will be able to: • Use Python to construct loops and basic data structures • Sort, query, and structure data in Pandas, the Python library • Create data visualizations with Python libraries • Model and interpret data using Python This course is designed for people who want to learn the basics of using Python to sort and structure data for data analysis. You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate.

Syllabus

  • Introduction to Python
    • 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.
  • Basic Python Concepts
    • 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.
  • Obtaining and Scrubbing Data with Pandas
    • This week is focused on using a Python library called Pandas. You will learn how to use Pandas to load, select, and clean data.
  • Exploring Data with Python
    • 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.
  • Modeling and Interpreting Data with Python
    • 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.

Taught by

Victor Geislinger

Reviews

4.3 rating at Coursera based on 136 ratings

Start your review of Python Data Analytics

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.