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
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