Accounting Data Analytics, Short Course | Part time online | Coursera | United States
3 months
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Develop Data Analytics Skills for Accountants. This Accounting Data Analytics course offered by Coursera in partnership with University of Illinois develops students’ skills of data preparation, data visualization, data analysis, data interpretation, and machine learning algorithms and their applications to real-world problems.

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This Accounting Data Analytics course offered by Coursera in partnership with University of Illinois develops learners’ analytics mindset and knowledge of data analytics tools and techniques. Specifically, this specialization develops learners' analytics skills by first introducing an analytic mindset, data preparation, visualization, and analysis using Excel. Next, this specialization develops learners' skills of using Python for data preparation, data visualization, data analysis, and data interpretation and the ability to apply these skills to issues relevant to accounting. This specialization also develops learners’ skills in machine learning algorithms (using Python), including classification, regression, clustering, text analysis, time series analysis, and model optimization, as well as their ability to apply these machine learning skills to real-world problems.

Applied Learning Project

Projects included in this specialization allow learners to apply the skills developed within the data analytics specialization to real-world problems. Learners will be able to articulate the general process of the CRISP-DM framework, demonstrate data analytics skills in data preparation, data visualization, modeling, and model evaluation, and apply data analytics knowledge and skills to real-world problems. For example, in the capstone project, learners will develop a machine learning model in order to predict whether a loan is to be fully paid and construct a loan portfolio with the help of the analysis.

Skills You Will Gain:

  • Data Preparation
  • Python Programming
  • Linear Regression
  • SQL
  • Data Visualization
  • Predictive Analytics
  • Data Analysis
  • Coding
  • Data Architecture
  • Machine Learning Model Evaluation and Optimization
  • Basic Time Series Analysis
  • Machine Learning Modeling
  • Text Analysis

Programme Structure

Courses include:

  • Introduction to Accounting Data Analytics and Visualization
  • Accounting Data Analytics with Python
  • Machine Learning for Accounting with Python

Key information


  • Part-time
    • 3 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.





Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate level

  • Programming background would be a plus, but not mandatory.

Tuition Fee

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  • International

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.
  • National

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.

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Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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