Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.
Business Analytics Specialization
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Business Analytics Specialization
Data-driven decision making potential unlocked. Learners will be able to obtain, manage, analyze and visualize data to gain a competitive advantage in the world of strategic business decision making.
Instructors: Unnati Narang
21,075 already enrolled
Included with 
Get in-depth knowledge of a subject
(235 reviews)
Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(235 reviews)
Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
- Exploratory Data Analysis
- Business Analysis
- Data Governance
- Machine Learning
- Analytics
- Data Quality
- Marketing Analytics
- Data Visualization
- Extract, Transform, Load
- Robotic Process Automation
- Data Collection
- Business Analytics
- Data Ethics
- Data Analysis
- Machine Learning Algorithms
- Data-Driven Decision-Making
- Data Storytelling
- Data Visualization Software
- Data Presentation
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
30 practice exercises
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 - 6 course series
What you'll learn
Examine the interplay between business principles and data analytics.
Build a foundation in data analytics by installing and using a data analytics language, an integrated development environment (IDE), and key modules.
Manipulate the most commonly used data types using functions.
Develop efficient, easy-to-read approaches for assembling and processing data for analysis.
Skills you'll gain
Category: Data-Driven Decision-Making
Category: Business Analysis
Category: Python Programming
Category: Data Analysis
Category: Data Presentation
Category: Analytics
What you'll learn
Build familiarity with the set of tools and techniques used to analyze and visualize digitalized data.
Gain an understanding of the motivations that direct the use of various data visualization methods.
Understand visual approaches used to effectively communicate insights from data.
Gain hands-on, working knowledge of the nuanced distinction between effective and poor data presentation.
Skills you'll gain
Category: Data Visualization Software
Category: Data Presentation
Category: Data Storytelling
Category: Data Analysis
Category: Data Visualization
Category: Business Analytics
Category: Communication
Category: Data-Driven Decision-Making
Category: R Programming
Category: Health Care
Category: Data Quality
Category: Analytics
Category: Data Collection
What you'll learn
Development of an analytic mindset for approaching business problems.
The ability to appraise the value of datasets for addressing business problems using summary statistics and data visualizations.
Competence in operating business analytic software applications for exploratory data analysis.
Skills you'll gain
Category: Extract, Transform, Load
Category: Exploratory Data Analysis
Category: Data Transformation
Category: Data Visualization Software
Category: Analytics
Category: Data Cleansing
Category: Business Analytics
Category: Analytical Skills
Category: Python Programming
Category: Data Manipulation
Category: Data Analysis
Category: Business Intelligence
Category: Pandas (Python Package)
Category: Data Processing
Category: Data Presentation
What you'll learn
Implement a conceptual framework of machine learning algorithms for finding actionable insight to business problems.
Apply a conceptual foundation for interpreting machine learning results from regression, classification, and clustering algorithms.
Apply machine learning algorithms to business data.
Skills you'll gain
Category: Machine Learning Algorithms
Category: Supervised Learning
Category: Unsupervised Learning
Category: Regression Analysis
Category: Machine Learning
Category: Exploratory Data Analysis
Category: Business Analytics
Category: Scikit Learn (Machine Learning Library)
Category: Workflow Management
Category: Analytics
Category: Applied Machine Learning
Category: Predictive Modeling
Category: Python Programming
Category: Data Analysis
Category: Classification And Regression Tree (CART)
What you'll learn
Ability to design experiments and apply quasi-experimental methods to identify and measure the impact of marketing interventions.
Use of machine learning and AI techniques to forecast customer behaviors and marketing outcomes.
Analyzing consumer sentiment and user-generated content through computational text and network analysis.
Estimating customer preferences, demand patterns, and calculating customer lifetime value to inform marketing strategy.
Skills you'll gain
Category: Customer Analysis
Category: Predictive Analytics
Category: Artificial Intelligence
Category: Customer Insights
Category: Machine Learning
Category: Marketing Analytics
Category: Text Mining
Category: Analytics
Category: Data Ethics
Category: Data Analysis
Category: Consumer Behaviour
Category: Generative AI
Category: Natural Language Processing
Category: Marketing
Category: Marketing Strategy and Techniques
Category: Digital Marketing
Category: Predictive Modeling
Category: Advanced Analytics
Category: Market Analysis
What you'll learn
Understand analytic issues and topics in accounting.
Conduct audit and control testing tasks using Alteryx and R.
Analyze text using R.
Conduct accounting-related RPA processes.
Skills you'll gain
Category: Robotic Process Automation
Category: Data Analysis
Category: Blockchain
Category: Internal Controls
Category: Alteryx
Category: Natural Language Processing
Category: Accounting
Category: Business Process Automation
Category: Data Governance
Category: Analytics
Category: Process Analysis
Category: R Programming
Category: Automation
Category: Text Mining
Category: Auditing
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
Instructors
University of Illinois Urbana-Champaign
20 Courses131,037 learners
Offered by
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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 3-6 months.
Basic business knowledge and experience using data in Excel is recommended.
It is recommended that the courses in the Specialization be taken in the order outlined.
More questions
Financial aid available,