UIUC - Accounting Data Analytics with Python
- Offered byCoursera
Accounting Data Analytics with Python at Coursera Overview
Duration | 32 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Accounting Data Analytics with Python at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 2 of 4 in the Accounting Data Analytics Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 32 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Accounting Data Analytics with Python at Coursera Course details
- This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).
- The first half of the course picks up where Introduction to Accounting Data Analytics and Visualization left off: using in an integrated development environment to automate data analytic tasks. We discuss how to manage code and share results within Jupyter Notebook, a popular development environment for data analytic software like Python and R. We then review some fundamental programming skills, such as mathematical operators, functions, conditional statements and loops using Python software.
- The second half of the course focuses on assembling data for machine learning purposes. We introduce students to Pandas dataframes and Numpy for structuring and manipulating data. We then analyze the data using visualizations and linear regression. Finally, we explain how to use Python for interacting with SQL data.
Accounting Data Analytics with Python at Coursera Curriculum
INTRODUCTION TO THE COURSE
Course Introduction
About Ronald Guymon
About Linden Lu
Syllabus
Glossary
About the Discussion Forums
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Module 1 Introduction
1.1 Introduction to Data Analytics
1.2 Jupyter Notebook
1.3 Introduction to Markdown
Module 1 Review
Module 1 Overview and Resources
Lesson 1.1 Readings
Module 1 Quiz
MODULE 2: INTRODUCTION TO PYTHON
Module 2 Introduction
2.1 Introduction to Python
2.2 Introduction to Python Functions
2.3 Conditional Statements in Python
Module 2 Review
Module 2 Overview and Resources
Module 2 Quiz
MODULE 3: INTRODUCTION TO PYTHON PROGRAMMING
Module 3 Introduction
3.1 Introduction to Python Data Structures
3.2 Working with Python Data Structure
3.3 Introduction to Python Loops
Module 3 Review
Module 3 Overview and Resources
Module 3 Quiz
MODULE 4: PYTHON PROGRAMMING
Module 4 Introduction
4.1 Writing Python Programs
4.2 Introduction to NumPy
4.3 Introduction to Pandas
Module 4 Review
Module 4 Overview and Resources
Module 4 Quiz
MODULE 5: DATA ANALYSIS WITH PYTHON
Module 5 Introduction
5.1 Python File IO
5.2 Working with the Pandas DataFrame
5.3 Introduction to Descriptive Statistics
Module 5 Review
Module 5 Overview and Resources
Module 5 Quiz
MODULE 6: INTRODUCTION TO VISUALIZATION IN PYTHON
Module 6 Introduction
6.1 Introduction to Plotting with Python
6.2 Introduction to One-Dimensional Data Visualization
6.3 Introduction to Two-Dimensional Data
Module 6 Review
Module 6 Overview and Resources
Module 6 Quiz
MODULE 7: PRODUCTION DATA ANALYTICS
Module 7 Introduction
7.1 Introduction to CRISP-DM
7.2 Introduction to Data Preparation Techniques
7.3 Linear Regression in Python
Module 7 Review
Module 7 Overview and Resources
Module 7 Quiz
MODULE 8: INTRODUCTION TO DATABASES IN PYTHON
Module 8 Introduction
8.1 Introduction to Data Persistence
8.2 Advanced Concepts
8.3 Python Database Programming
Module 8 Review
Gies Online Programs
Module 8 Overview and Resources
Congratulations!
Module 8 Quiz