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Updated: Jul 17, 2026
Data Analytics
This course offers a practical, industry-relevant introduction to data analytics, covering foundational concepts, the analytics lifecycle, and essential tools like SQL, spreadsheets, and visualization. It combines conceptual learning with hands-on, scenario-based projects to help students…
Duration
8h
Lectures
24
Language
English
Level
beginner
Course Curriculum
Lessons
6 items
Chapter 1: What Is Data Analytics? Descriptive, Diagnostic, Predictive & Prescriptive
Data has become one of the most valuable resources in the modern business world. Every day, organizations gen…
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Chapter 2: The Data Analytics Lifecycle
Data analytics is much more than applying statistical techniques or creating colorful dashboards. Successful…
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Chapter 3: Data Types & Data Collection Methods
Data is the foundation of every analytics project. No matter how advanced the analytical tools or statistical…
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Chapter 4: Data Cleaning & Preparation
Data is often described as the foundation of business analytics, but raw data collected from real-world busin…
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Chapter 5: Data Ethics & Privacy in Analytics
As organizations increasingly rely on data to guide business decisions, the ethical use of that data has beco…
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Assignment
MODULE 1 ASSIGNMENT Choose a business scenario and identify which of the four analytics types (descriptive,…
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Quizzes
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Lessons
6 items
Chapter 1: Spreadsheets & Excel for Analytics
Spreadsheets are among the most widely used analytical tools in the business world. Although organizations in…
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Chapter 2: SQL & Database Querying Fundamentals
In today's data-driven business environment, organizations generate enormous amounts of information every sec…
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Chapter 3: Introduction to Statistical Analysis
Statistical analysis is one of the fundamental components of data analytics because it provides the methods a…
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Chapter 4: Data Visualization Principles
Data visualization is one of the most important skills in modern business analytics because it transforms com…
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Chapter 5: Introduction to Python or R for Data Analytics
As organizations continue to generate larger and more complex datasets, traditional spreadsheet tools can bec…
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Assignment
MODULE 2 ASSIGNMENT Using a sample dataset of your choice, produce one pivot table summary, one basic chart,…
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Quizzes
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Lessons
6 items
Chapter 1: Building Dashboards & BI Reporting
In modern organizations, data is generated continuously from multiple sources, including sales systems, custo…
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Chapter 2: Customer & Marketing Analytics
In today's competitive business environment, understanding customers is one of the most important factors beh…
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Chapter 3: Financial & Operations Analytics
Financial and operations analytics are two essential areas of business analytics that help organizations unde…
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Chapter 4: A/B Testing & Experimentation
In modern business environments, organizations constantly make decisions about improving products, marketing…
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Chapter 5: Predictive Analytics & Introduction to Machine Learning
In today's data-driven business environment, organizations are moving beyond simply understanding what happen…
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Assignment
MODULE 3 ASSIGNMENT Design a one-page dashboard mockup for a chosen business function, listing the five key…
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Lessons
6 items
Chapter 1: Storytelling with Data
In the modern business environment, organizations collect enormous amounts of data from customers, operations…
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Chapter 2: Building Effective Reports & Presentations
In business analytics, discovering insights from data is only one part of the process. The true value of anal…
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Chapter 3: Data-Driven Decision Making in Organizations
In today's competitive business environment, organizations generate and collect more data than ever before. C…
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Chapter 4: Data Analytics Careers & Skill Roadmap
Data analytics has become one of the fastest-growing and most valuable career fields in today's business worl…
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Chapter 5: Capstone: End-to-End Analytics Project
The final stage of learning business analytics is applying all previously developed skills to a complete, rea…
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Assignment
MODULE 4 ASSIGNMENT Submit a one-page data story for a chosen dataset or scenario, structured as: key insigh…
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Quizzes
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Final Assessment
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More Details
Course Overview
Full Course Description and Learning Context
This course offers a practical, industry-relevant introduction to data analytics, covering foundational concepts, the analytics lifecycle, and essential tools like SQL, spreadsheets, and visualization. It combines conceptual learning with hands-on, scenario-based projects to help students clean data, perform statistical analysis, and inform business decisions across marketing, finance, and operations. Graduates will be equipped to design A/B tests, build predictive models, and communicate data-driven insights persuasively to any audience. It is an ideal program for aspiring analysts, business professionals, and career-changers looking to build strong, data-informed analytical skills.
Duration
8h
What You’ll Learn
Understand the data analytics lifecycle and the four core types of analysis.
Clean, prepare, and organize raw data for reliable analysis.
Apply spreadsheets, SQL, basic statistics, and visualization tools to analyze real datasets.
Use analytics to inform marketing, financial, and operational business decisions.
Design valid A/B tests and understand the basics of predictive analytics.
Target Audience
Aspiring data analysts seeking a structured, practical introduction to the field.
Business professionals who work with data and want to build stronger analytical skills.
Small business owners and managers who want to make more data-informed decisions.
Students and career-changers preparing for entry-level data analytics roles.
Materials Included
4 Modules
19 Chapters
1 Final Assessment
Requirements / Instructions
Complete the practical assignments provided at the end of each module.
Achieve a recommended passing score of 80% on the final assessment.
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