University of Illinois Urbana-Champaign
IBM

Analytics for Business Specialization

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University of Illinois Urbana-Champaign
IBM

Analytics for Business Specialization

Turn Data Into Better Business Decisions.

Learn analytics, visualization, BI tools, and AI to solve real business problems.

IBM Skills Network Team
Unnati Narang
Kim Mendoza

Instructors: IBM Skills Network Team

Included with Coursera PlusLearn more

Get in-depth knowledge of a subject
Beginner level

Recommended experience

2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply the data analytics process to collect, prepare, and analyze business data

  • Use statistical methods and exploratory data analysis to support business decisions

  • Build interactive dashboards and visualizations using IBM Cognos Analytics and Google Looker Studio

  • Use generative AI responsibly to enhance data analysis, visualization, and storytelling

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Taught in English
Recently updated!

November 2026

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Specialization - 6 course series

Data Analytics Foundations: Turn Data into Insights

Data Analytics Foundations: Turn Data into Insights

Course 1, 12 hours

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process

  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst

  • Describe the different types of data structures, file formats, and sources of data

  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

Category: Analysis
Category: Data Mart
Category: Microsoft Excel
Category: Analytical Skills
Category: Data Storage Technologies
Category: Dashboard
Category: Big Data
Category: Data Lakes
Category: Data Processing
Category: Data Analysis
Category: Data Wrangling
Category: Data Storytelling
Category: Data Visualization
Category: Data Warehousing
Category: Extract, Transform, Load
Category: Data Storage
Category: Data Science
Category: Data Mining
Category: Data Presentation
Category: Analytics

What you'll learn

  • Summarize large data sets in graphical, tabular, and numerical forms.

  • Understand the significance of proper sampling and why you can rely on sample information.

  • Use sample information to infer about the population with a certain level of confidence about the accuracy of the estimations.

  • Use Excel for statistical analysis.

Skills you'll gain

Category: Data Analysis
Category: Decision Making
Category: Probability Distribution
Category: Data Collection
Category: Sampling (Statistics)
Category: Statistical Methods
Category: Statistics
Category: Statistical Analysis
Category: Estimation
Category: Probability & Statistics
Category: Data-Driven Decision-Making
Category: Descriptive Statistics
Category: Microsoft Excel
Category: Data Visualization
Category: Statistical Inference
Category: Probability
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 and how to use AI tools responsibly as a drafting partner.

  • Gain hands-on, working knowledge of the nuanced distinction between effective and poor data presentation.

Skills you'll gain

Category: Dashboard
Category: Data Visualization
Category: Artificial Intelligence
Category: Exploratory Data Analysis
Category: Storytelling
Category: Business Communication
Category: Analytical Skills
Category: Analytics
Category: Data-Driven Decision-Making
Category: Data Analysis
Category: Business Analytics
Category: Data Storytelling
Category: Responsible AI
Category: Unstructured Data
Category: Analysis
Category: Data Presentation
Tools for Exploratory Data Analysis in Business

Tools for Exploratory Data Analysis in Business

Course 4, 18 hours

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: Application Programming Interface (API)
Category: Python Programming
Category: SQL
Category: Data Processing
Category: Business Analytics
Category: Data Storytelling
Category: Extract, Transform, Load
Category: Data Quality
Category: Data Analysis
Category: Analytics
Category: Data Manipulation
Category: Analytical Skills
Category: Descriptive Statistics
Category: Data Visualization
Category: Exploratory Data Analysis

What you'll learn

  • Explore the purpose of analytics and Business Intelligence (BI) tools

  • Discover the capabilities of IBM Cognos Analytics and Google Looker Studio

  • Showcase your proficiency in analyzing DB2 data with IBM Cognos Analytics

  • Create and share interactive dashboards using IBM Cognos Analytics and Google Looker Studio

Skills you'll gain

Category: Dashboard Creation
Category: Business Intelligence
Category: Dashboard
Category: Looker (Software)
Category: Interactive Data Visualization
Category: Analytics
Category: Business Intelligence Software
Category: IBM Cognos Analytics
Category: Business Analytics
Category: Data Visualization
Category: Data Visualization Software
Generative AI: Enhance your Data Analytics Career

Generative AI: Enhance your Data Analytics Career

Course 6, 16 hours

What you'll learn

  • Describe how you can use Generative AI tools and techniques in the context of data analytics across industries

  • Implement various data analytic processes such as data preparation, analysis, visualization and storytelling using Generative AI tools

  • Evaluate real-world case studies showcasing the successful application of Generative AI in deriving meaningful insights

  • Analyze the ethical considerations and challenges associated with using Generative AI in data analytics

Skills you'll gain

Category: Generative AI
Category: AI literacy
Category: Data Preprocessing
Category: Data Manipulation
Category: Prompt Engineering
Category: Responsible AI
Category: Data Cleansing
Category: Analytics
Category: Data Presentation
Category: Dashboard Creation
Category: Data Analysis
Category: Query Languages
Category: Data Analysis Software
Category: Data Ethics
Category: Interactive Data Visualization
Category: Data Storytelling
Category: Data Synthesis

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Instructors

IBM Skills Network Team
99 Courses3,177,266 learners
Unnati Narang
University of Illinois Urbana-Champaign
2 Courses75,347 learners
Kim Mendoza
University of Illinois Urbana-Champaign
3 Courses24,820 learners

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IBM

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