UIUC - Data Analytics Foundations for Accountancy I
- Offered byCoursera
Data Analytics Foundations for Accountancy I at Coursera Overview
Duration | 66 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Analytics Foundations for Accountancy I at Coursera Highlights
- 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.
- Approx. 66 hours to complete
- English Subtitles: French, Portuguese (European), Russian, English, Spanish
Data Analytics Foundations for Accountancy I at Coursera Course details
- Welcome to Data Analytics Foundations for Accountancy I! You?re joining thousands of learners currently enrolled in the course. I'm excited to have you in the class and look forward to your contributions to the learning community.
- To begin, I recommend taking a few minutes to explore the course site. Review the material we?ll cover each week, and preview the assignments you?ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class.
- If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center.
- Good luck as you get started, and I hope you enjoy the course!
Data Analytics Foundations for Accountancy I at Coursera Curriculum
Course Orientation
Welcome to Data Analytics Foundations for Accountancy I
Meet Professor Brunner
Syllabus
About the Discussion Forums
Updating Your Profile
Social Media
Orientation Quiz
Introduction to Module 1
The Importance of Data Analytics in Modern Accountancy
Introduction to the Course JupyterHub Server
Introduction to Markdown
Introduction to Python
Module 1 Overview
Lesson 1-1 Readings
Module 1 Graded Quiz
Module 2: Introduction to Python
Introduction to Module 2
Why Accounting Students Should Learn to Code
Python Data Structures
Introduction to Python Functions
Python Programming Concepts
Module 2 Overview
Lesson 2-1 Readings
Module 2 Graded Quiz
Module 3: Introduction to Data Analysis
Introduction to Module 3
Why Use Python Instead of Excel?
Introduction to Unix
Python File I/O
Introduction to Pandas
Module 3 Overview
Lesson 3-1 Readings
Module 3 Graded Quiz
Module 4: Statistical Data Analysis
Introduction to Module 4
How the Pandas Module Can Support Standard Business Analytics
Introduction to Numpy
Introduction to Descriptive Statistics
Advanced Pandas
Module 4 Overview
Lesson 4-1 Readings
Module 4 Graded Quiz
Module 5: Introduction to Visualization
Introduction to Module 5
Creating Clear and Powerful Visualizations
Visualization of Quantitative Data
Introduction to Plotting
Introduction to Data Visualization
Module 5 Overview
Lesson 5-1 Readings and Resources
Lesson 5-2 Readings and Resources
Lesson 5-4 Reading
Module 5 Graded Quiz
Module 6: Introduction to Probability
Introduction to Module 6
Introduction to Probability
Introduction to Bayes Theorem
Calculating Probabilities in Python
Introduction to Distributions
Module 6 Overview
Lesson 6-1 Readings
Lesson 6-2 Readings
Lesson 6-3 Readings
Lesson 6-4 Readings
Module 6 Graded Quiz
Module 7: Exploring Two-Dimensional Data
Introduction to Module 7
Introduction to Scatter Plots
Introduction to Numpy Matrices
Statistical Issues When Exploring Multi-Dimensional Data
Introduction to Ordinary Linear Regression
Module 7 Overview
Lesson 7-3 Readings and Resources
Lesson 7-4 Readings
Module 7 Graded Quiz
Module 8: Introduction to Density Estimation
Introduction to Module 8
Why Do Accounting Students Need Data Analytics Skills?
Introduction to Density Estimation
Advanced Density Estimation
Gies Online Programs
Module 8 Overview
Lesson 8-1 Readings
Congratulations!
Module 8 Graded Quiz
Data Analytics Foundations for Accountancy I at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?