Data Analytics & AI for Business Intelligence

Learn how to harness data analytics and Artificial Intelligence to drive smarter business decisions. This course covers data visualization, predictive analytics, and AI-powered insights to improve strategy, efficiency, and growth. Gain practical skills to transform raw data into actionable intelligence for competitive advantage.

About Course

Unlock the power of data with this comprehensive Data Analytics course. Whether you're a beginner or looking to sharpen your skills, this course will teach you how to collect, analyze, and interpret data to make informed decisions. Learn key data analytics tools and techniques used in various industries, and take your career or business to the next level.

1. Understand Data Analytics & BI Foundations
2. Collect, Clean & Prepare Data
3. Perform Exploratory Data Analysis (EDA)
4. Build Interactive Dashboards
5. Use AI for Business Intelligence
6. Apply Analytics in Real Business Scenarios
7. Automate BI Processes
8. Ensure Ethical & Secure Data Practices
9. Deliver a Full BI Project

Course Curriculum

Module 1: Introduction to Data Analytics & Business Intelligence

What is Data Analytics?

09:04
Types of Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)
What is Business Intelligence (BI)?
Data-driven decision-making
Role of AI in modern BI

Module 2: Data Collection, Storage & Management

Module 3: Data Cleaning & Preparation

Module 4: Exploratory Data Analysis (EDA)

Module 5: Data Visualization & Business Dashboards

Module 6: AI & Machine Learning for Business Intelligence

Module 7: Business Applications of Data Analytics & AI

Module 8: Tools for BI & AI Integration

Module 9: Automation in Business Intelligence

Module 10: Data Ethics, Privacy & Security

Module 11: Final Project – BI & AI Business Dashboard

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Level

Intermediate
Total Enrolled

4
Duration

50 hours 35 minutes
Last Updated

January 11, 2026
Certificate

Certificate of completion

Full video lessons
Downloadable lecture slides (PDF)
Step-by-step practice guides
Real business datasets (CSV, Excel)
Case studies (Marketing, Sales, Finance, Operations)
Dashboard templates (Power BI / Tableau / Looker Studio)

Basic computer skills
A laptop or desktop computer
Stable internet connection
No coding experience required
Optional: Power BI Desktop installed
Optional: Google account for Looker Studio
Willingness to practice with datasets