About this Course

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100% online
Start instantly and learn at your own schedule.
Flexible deadlines
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Intermediate Level
Approx. 32 hours to complete
English

What you will learn

  • Know how to operate software that will help you create and run Python code.

  • Execute Python code for wrangling data from different structures into a Pandas dataframe structure.

  • Run and interpret fundamental data analytic tasks in Python including descriptive statistics, data visualizations, and regression.

  • Use relational databases and know how to manipulate such databases directly through the command line, and indirectly through a Python script.

Skills you will gain

Python ProgrammingData Visualization (DataViz)Linear RegressionSQLData Preparation
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 32 hours to complete
English

Offered by

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University of Illinois at Urbana-Champaign

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Accountancy (iMSA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

INTRODUCTION TO THE COURSE

1 hour to complete
3 videos (Total 11 min), 4 readings
3 videos
About Ronald Guymon2m
About Linden Lu3m
4 readings
Syllabus10m
Glossary10m
About the Discussion Forums10m
Update Your Profile10m
3 hours to complete

MODULE 1: FOUNDATIONS

3 hours to complete
5 videos (Total 20 min), 2 readings, 2 quizzes
5 videos
1.1 Introduction to Data Analytics2m
1.2 Jupyter Notebook4m
1.3 Introduction to Markdown3m
Module 1 Review6m
2 readings
Module 1 Overview and Resources3m
Lesson 1.1 Readings20m
1 practice exercise
Module 1 Quiz20m
Week
2

Week 2

3 hours to complete

MODULE 2: INTRODUCTION TO PYTHON

3 hours to complete
5 videos (Total 22 min), 1 reading, 2 quizzes
5 videos
2.1 Introduction to Python3m
2.2 Introduction to Python Functions2m
2.3 Conditional Statements in Python2m
Module 2 Review4m
1 reading
Module 2 Overview and Resources15m
1 practice exercise
Module 2 Quiz15m
Week
3

Week 3

4 hours to complete

MODULE 3: INTRODUCTION TO PYTHON PROGRAMMING

4 hours to complete
5 videos (Total 17 min), 1 reading, 2 quizzes
5 videos
3.1 Introduction to Python Data Structures4m
3.2 Working with Python Data Structure2m
3.3 Introduction to Python Loops2m
Module 3 Review4m
1 reading
Module 3 Overview and Resources3m
1 practice exercise
Module 3 Quiz10m
Week
4

Week 4

4 hours to complete

MODULE 4: PYTHON PROGRAMMING

4 hours to complete
5 videos (Total 16 min), 1 reading, 2 quizzes
5 videos
4.1 Writing Python Programs3m
4.2 Introduction to NumPy1m
4.3 Introduction to Pandas2m
Module 4 Review2m
1 reading
Module 4 Overview and Resources3m
1 practice exercise
Module 4 Quiz20m

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Accounting Data Analytics

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