About this Course

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100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 31 hours to complete

Suggested: Eight weeks of study, eight hours per week....

English

Subtitles: English

What you will learn

  • Check

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

  • Check

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

  • Check

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

  • Check

    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

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 31 hours to complete

Suggested: Eight weeks of study, eight hours per week....

English

Subtitles: English

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

Instructors

Image of instructor, Ronald Guymon

Ronald Guymon

Senior Lecturer of Accountancy
Accountancy
Image of instructor, Linden Lu

Linden Lu

Instructor
Department of Accountancy

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.

About University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs. ...

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.