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Basics of Statistical Modeling
Original price was: INR ₹40.00.INR ₹20.00Current price is: INR ₹20.00.
This course introduces learners to the fundamentals of statistical modeling, data types, basic statistical concepts, and regression-based prediction. It also highlights how statistical models are used in real-world decision-making across business, healthcare, research, and data science careers.
About the Course
The Basics of Statistical Modeling course is a free, beginner-friendly self-paced program designed to introduce learners to how statistical methods are used to understand data and build simple predictive models.
The course explains how relationships between variables are analyzed, how patterns are identified, and how models are used to make informed decisions. Learners will explore core concepts such as variables, distributions, regression basics, and model interpretation. This course is ideal for beginners who want to build a strong foundation in statistics for data science and analytics.
Program Highlights
• Free beginner-level statistical modeling course
• Online self-paced learning format
• Simple explanation of statistical concepts and modeling
• Covers variables, distributions, and regression basics
• Real-world examples from business and research
• Suitable for students and first-time learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to Statistical Modeling
- What is Statistical Modeling?
- Role of Statistics in Data Science
- Types of Models and Applications
- Examples from Real-World Data
Module 2: Understanding Data and Variables
- Types of Variables: Numerical and Categorical
- Independent vs Dependent Variables
- Data Distribution Basics
- Importance of Data Quality
Module 3: Basic Statistical Concepts
- Mean, Median, and Variance
- Probability Basics
- Understanding Relationships in Data
- Introduction to Correlation
Module 4: Regression and Modeling Basics
- Introduction to Regression
- Understanding Simple Linear Relationships
- Interpreting Model Outputs
- Basic Prediction Concepts
Module 5: Applications and Next Steps
- Statistical Modeling in Business, Healthcare, and Research
- Using Models for Decision-Making
- Career Pathways in Data Science and Analytics
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
Statistical Modeling
Data Analysis
Regression
Probability
Data Interpretation
Data Analysis
Regression
Probability
Data Interpretation
Real-World Applications
- Analyzing relationships between variables
- Making predictions using simple models
- Supporting research and data-driven decisions
- Understanding trends in business and healthcare data
- Preparing for advanced learning in data science and machine learning
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, freshers, and professionals who want to understand the basics of statistical modeling.
- It is also useful for learners from mathematics, statistics, business, engineering, research, and non-technical backgrounds.
Prerequisites: No prior statistics or programming knowledge is required. Basic understanding of numbers and interest in data is sufficient.
Frequently Asked Questions
1. Is this Basics of Statistical Modeling course free?
Yes. This is a free online self-paced course designed for beginners.
2. Do I need mathematics knowledge?
Basic understanding of numbers is enough. The course explains concepts in a simple way.
3. What will I learn in this course?
You will learn statistical concepts, regression basics, and how models are used to analyze data.
4. Who can join this course?
Students, beginners, and professionals from any background can join.
5. Will I receive a certificate?
Yes. Learners receive an e-Certification after completing the course.
6. What is statistical modeling?
Statistical modeling is the use of statistical methods to understand relationships in data, identify patterns, and support predictions or decisions.
7. Is this course suitable for complete beginners?
Yes. The course is beginner-friendly and explains statistical modeling concepts in a simple and structured way.
8. What is the duration of this course?
The Basics of Statistical Modeling course is designed as a 2–3 week online self-paced course.
9. Is this course useful for data science learning?
Yes. Statistical modeling is an important foundation for data science, analytics, predictive modeling, and machine learning.
10. What makes this statistical modeling course beginner-friendly?
The course explains variables, distributions, probability, regression, model interpretation, and real-world applications using simple examples without requiring advanced statistics or programming knowledge.
The Basics of Statistical Modeling course provides a simple and structured introduction to understanding data through statistical methods. It is an ideal starting point for learners who want to build a foundation in data science, analytics, and machine learning.
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