This specialization 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.
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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.
Instructors: Linden Lu
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What you'll learn
Skills you'll gain
What’s included
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Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from University of Illinois Urbana-Champaign
Specialization - 3 course series
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
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
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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.¹
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Frequently asked questions
Time to completion can vary widely based on your schedule, most learners are able to complete the Specialization in 5-7 months.
Basic understanding of Microsoft Excel is recommended
It is recommended that the courses in the Specialization be taken in the order outlined.In the Capstone Project, you will have the opportunity to synthesize your learning in all courses and apply your combined skills in a final project
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Financial aid available,