| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Basic / Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | Data Science Data Analytics Data Analysis Data Visualization Basic Statistics |
About the Introduction to Data Science and Analytics Course
The Introduction to Data Science and Analytics course is a free, beginner-friendly self-paced program designed to help learners understand how data is collected, analyzed, and used to make decisions.
The course introduces key concepts such as data types, data analysis, trends, visualization, and basic analytics techniques. Learners will explore how data science and analytics are applied in business, healthcare, research, and technology. This course is ideal for beginners who want to start their journey in data science and analytics.
Program Highlights
• Free beginner-level data science and analytics course
• Online self-paced learning format
• Simple explanation of data and analytics concepts
• Covers data analysis, trends, and visualization basics
• Real-world examples and use cases
• Suitable for students and non-technical learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to Data Science and Analytics
- What is Data Science?
- What is Data Analytics?
- Difference Between Data Science, Analytics, and AI
- Applications in Real-World Scenarios
Module 2: Understanding Data
- Types of Data: Structured and Unstructured
- Sources of Data
- Basic Data Cleaning Concepts
- Introduction to Datasets
Module 3: Data Analysis Basics
- Understanding Patterns and Trends
- Basic Analytical Thinking
- Introduction to Simple Analysis Techniques
- Interpreting Data Insights
Module 4: Data Visualization
- Importance of Data Visualization
- Types of Charts and Graphs
- Presenting Data Clearly
- Storytelling with Data
Module 5: Applications and Next Steps
- Data Science in Business, Healthcare, and Technology
- Career Opportunities in Data Science and Analytics
- Introduction to Machine Learning
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
Data Science Data Analytics Data Analysis Data Visualization Basic Statistics
Real-World Applications
- Analyzing data for business decision-making
- Understanding trends and patterns in datasets
- Creating simple visual reports and dashboards
- Supporting research and academic projects
- Preparing for advanced learning in data science and analytics
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, freshers, and professionals who want to understand the basics of data science and analytics.
- It is also useful for learners from business, management, commerce, engineering, science, and non-technical backgrounds.
Certification
