IBM Data Analytics with Excel and R Professional Certificate Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This IBM Data Analytics Professional Certificate on Coursera offers a beginner-friendly path to mastering essential data analytics skills using Excel, SQL, R, and IBM Cognos Analytics. The program spans approximately 6-7 months at a pace of 3-5 hours per week, combining theory with hands-on practice. You’ll work with real-world datasets, build interactive dashboards, and complete a capstone project to showcase your abilities. Ideal for career switchers or newcomers to data, this certificate provides industry-recognized credentials from IBM to boost job prospects in data and business analytics.
Module 1: Introduction to Data Analytics & Excel Basics
Estimated time: 20 hours
- Data fundamentals and key concepts in analytics
- Industry applications of data analysis
- Excel for data entry, formatting, and calculations
- Using pivot tables, charts, and basic statistical functions
Module 2: SQL for Data Analysis
Estimated time: 30 hours
- Understanding database structures and relational models
- Writing SQL queries to retrieve data
- Filtering and sorting data using WHERE and ORDER BY
- Aggregating data with GROUP BY and functions like COUNT, SUM, AVG
Module 3: Data Visualization & Reporting with IBM Cognos
Estimated time: 40 hours
- Principles of data storytelling and visual communication
- Creating reports using IBM Cognos Analytics
- Building interactive dashboards for business insights
- Sharing and distributing reports across teams
Module 4: Statistical Analysis & Data Manipulation with R
Estimated time: 50 hours
- Introduction to R programming for data analysis
- Data wrangling and transformation using R
- Descriptive and inferential statistical analysis
- Data visualization and predictive modeling in R
Module 5: Capstone Project: Real-World Data Analysis
Estimated time: 60 hours
- Analyzing a real-world dataset using Excel, SQL, and R
- Generating insights through data cleaning and transformation
- Presenting findings using dashboards in IBM Cognos and reports
Prerequisites
- No prior experience required
- Basic computer literacy
- Access to a modern web browser and internet connection
What You'll Be Able to Do After
- Perform data analysis using Excel, SQL, and R
- Clean and transform raw data into meaningful insights
- Create interactive dashboards with IBM Cognos Analytics
- Apply statistical methods to support business decision-making
- Showcase skills through a comprehensive capstone project