University of Illinois Urbana-Champaign
Business Analytics Specialization
University of Illinois Urbana-Champaign

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.

Unnati Narang
Kimberly Mendoza
Ronald Guymon

Instructors: Unnati Narang +4 more

21,976 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.7

(240 reviews)

Beginner level
No prior experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(240 reviews)

Beginner level
No prior experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

Skills you'll gain

  • Category: Data Management
  • Category: Analytics
  • Category: Regression Analysis
  • Category: Accounting
  • Category: Data Storytelling
  • Category: Data Collection
  • Category: Data Visualization Software
  • Category: Advanced Analytics
  • Category: Data Analysis
  • Category: Business Analytics
  • Category: Data Visualization
  • Category: Infographics
  • Category: Data Presentation
  • Category: Business Analysis
  • Category: Machine Learning
  • Category: Data Quality
  • Category: Data Governance
  • Category: Marketing Analytics
  • Category: Power BI
  • Category: Internal Controls

Details to know

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Taught in English

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: Analytics
Category: Python Programming
Category: Data Analysis
Category: Data Presentation

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 Storytelling
Category: Data Visualization Software
Category: Data Analysis
Category: Data-Driven Decision-Making
Category: R (Software)
Category: Data Presentation
Category: Data Visualization
Category: Business Analytics
Category: Health Care
Category: Analytics
Category: Data Collection
Category: Digital Marketing
Category: Infographics
Category: Data Quality
Category: Analytical Skills

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: Pandas (Python Package)
Category: Application Programming Interface (API)
Category: Data-Driven Decision-Making
Category: Data Manipulation
Category: SQL
Category: Analytical Skills
Category: Data Visualization Software
Category: Extract, Transform, Load
Category: Data Cleansing
Category: Python Programming
Category: Exploratory Data Analysis
Category: Relational Databases
Category: Business Analytics
Category: Data Storytelling
Category: Jupyter
Category: Data Transformation
Category: Data Quality

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: Scikit Learn (Machine Learning Library)
Category: Unsupervised Learning
Category: Supervised Learning
Category: Machine Learning
Category: Predictive Modeling
Category: Regression Analysis
Category: Classification And Regression Tree (CART)
Category: Applied Machine Learning
Category: Python Programming
Category: Workflow Management
Category: Business Analytics
Category: Data Processing

What you'll learn

  • Design experiments and apply quasi-experimental methods to identify and measure the impact of marketing interventions.

  • Use machine learning and AI techniques to forecast customer behaviors and marketing outcomes.

  • Analyze consumer sentiment and user-generated content through computational text and network analysis.

  • Estimate customer preferences and demand patterns, and calculate customer lifetime value to inform marketing strategy.

Skills you'll gain

Category: Predictive Analytics
Category: Responsible AI
Category: Marketing Analytics
Category: Machine Learning
Category: Data Ethics
Category: Analytics
Category: Social Network Analysis
Category: Market Analysis
Category: Digital Marketing
Category: Text Mining
Category: Data Analysis
Category: Predictive Modeling
Category: Marketing
Category: Consumer Behaviour
Category: Pandas (Python Package)
Category: Marketing Strategy and Techniques
Category: Customer Retention
Category: Customer Insights
Category: Advanced Analytics
Category: Generative AI

What you'll learn

  • Understand analytic issues and topics in accounting.

  • Conduct audit and control testing tasks using Alteryx and Python.

  • Perform automation using Python.

  • Understand data governance.

Skills you'll gain

Category: Automation
Category: Internal Controls
Category: Control Objectives for Information and Related Technology (COBIT)
Category: Accounting
Category: Pandas (Python Package)
Category: Emerging Technologies
Category: Natural Language Processing
Category: Auditing
Category: Data Management
Category: Accounting Software
Category: Data Quality
Category: Data Analysis
Category: Fraud detection
Category: GitHub
Category: Data Integrity
Category: Analytics
Category: Internal Auditing
Category: Data Governance
Category: Python Programming
Category: Financial Auditing

Earn a career certificate

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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.¹

 

Instructors

Unnati Narang
Unnati Narang
University of Illinois Urbana-Champaign
2 Courses70,409 learners
Kimberly Mendoza
Kimberly Mendoza
University of Illinois Urbana-Champaign
3 Courses21,932 learners
Ronald Guymon
Ronald Guymon
University of Illinois Urbana-Champaign
5 Courses88,548 learners

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University of Illinois Urbana-Champaign

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