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Data Science & Analytics Masterclass
Introduction to Data Science & Analytics
Learning Objectives
What is Data Science?
The Role of Data Science in Key Fields
Key Tools & Technologies
Setting Up a Data Science Environment (Overview)
QUIZ
Why Python for Data Analytics?
Learning Objectives
Why Python for Data Analytics?
Key Libraries & Their Roles
Data Analytics with Python – Industry Perspective
Example Data Workflows
QUIZ
SQL for Data Retrieval & Analysis
Learning Objectives
What is SQL?
Core SQL Concepts
SQL in Industry Applications
What a Real SQL Workflow Looks Like
QUIZ
Data Visualization & Business Intelligence
Learning Objectives
Why Visualization Matters
Common Chart Types & When to Use Them
Storytelling through data visualization
Tools Used by Professionals
Visualization in Business, Finance, and AI
QUIZ
Statistics & Probability for Data Science
Learning Objectives
Descriptive Statistics – Understanding Data at a Glance
Distributions – How Data is Shaped
Probability – Measuring Uncertainty
Hypothesis Testing – Making Data-Driven Decisions
QUIZ
Introduction to Machine Learning for Data Analytics
Learning Objectives
What is Machine Learning?
Types of Machine Learning
Common Algorithms (Conceptual Overview)
ML in the Real World
Conclusion
Final Exam
Recap of key concepts and skills learned
Next steps in the Data Science & Analytics journey
Course feedback and certification details
Setting Up a Data Science Environment (Overview)
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