University of Illinois Urbana-Champaign
Accounting Data Analytics Specialization
University of Illinois Urbana-Champaign

Accounting Data Analytics Specialization

Develop Data Analytics Skills for Accountants. This specialization develops students’ skills of data preparation, data visualization, data analysis, data interpretation, and machine learning algorithms and their applications to real-world problems.

Linden Lu
Ronald Guymon

Instructors: Linden Lu

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4.6

(185 reviews)

Intermediate level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(185 reviews)

Intermediate level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace

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Specialization - 3 course series

Introduction to Accounting Data Analytics and Visualization

Course 120 hours4.8 (441 ratings)

What you'll learn

  • Articulate the benefits of using Big Data and analytics in the modern accounting profession.

  • Describe and implement a framework for using Big data to help provide insights that lead to action.

  • Critique the ability of a dataset to answer questions, then assemble data from different sources for summarization, visualization, and analysis.

  • Use Excel, Tableau, and Visual Basic for Applications to design and perform basic and advanced analyses.

Skills you'll gain

Category: Regression Analysis
Category: Excel Macros
Category: Tableau Software
Category: Visual Basic (Programming Language)
Category: Data Visualization Software
Category: Analytics
Category: Microsoft Excel
Category: Analytical Skills
Category: Business Analytics
Category: Data Analysis
Category: Financial Modeling
Category: Pivot Tables And Charts
Category: Accounting and Finance Software
Category: Accounting Systems

Accounting Data Analytics with Python

Course 242 hours4.4 (106 ratings)

What you'll 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'll gain

Category: Pandas (Python Package)
Category: Python Programming
Category: Matplotlib
Category: NumPy
Category: Seaborn
Category: Jupyter
Category: Data Manipulation
Category: Data Structures
Category: Regression Analysis
Category: Statistical Visualization
Category: SQL
Category: Scripting Languages
Category: Databases
Category: Data Visualization Software
Category: Data Visualization
Category: Data Processing
Category: Scripting
Category: Accounting
Category: Data Science

Machine Learning for Accounting with Python

Course 364 hours4.6 (43 ratings)

What you'll learn

  • The concept of various machine learning algorithms.

  • How to apply machine learning models on datasets with Python in Jupyter Notebook.

  • How to evaluate machine learning models.

  • How to optimize machine learning models.

Skills you'll gain

Category: Machine Learning Algorithms
Category: Machine Learning
Category: Scikit Learn (Machine Learning Library)
Category: Supervised Learning
Category: Regression Analysis
Category: Applied Machine Learning
Category: Unsupervised Learning
Category: Feature Engineering
Category: Decision Tree Learning
Category: Pandas (Python Package)
Category: Random Forest Algorithm
Category: Time Series Analysis and Forecasting
Category: Performance Metric
Category: Natural Language Processing
Category: Text Mining
Category: Jupyter
Category: Predictive Modeling
Category: Python Programming
Category: Data Processing

Instructors

Linden Lu
University of Illinois Urbana-Champaign
3 Courses20,126 learners

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Build toward a degree

This Specialization is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.Âą

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