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UIUC - Accounting Data Analytics with Python 

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Accounting Data Analytics with Python
 at 
Coursera 
Overview

Duration

32 hours

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Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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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
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Accounting Data Analytics with Python
 at 
Coursera 
Course details

More about this course
  • 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.
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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

Accounting Data Analytics with Python
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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