Data Analysis | Foundation Course

📊 Online Self-Paced Course: Data Analysis

📌 About this Course

• This comprehensive Data Analysis course is designed to provide learners with in-depth knowledge of data collection, processing, visualization, and statistical inference.

• It covers both theoretical concepts and practical applications using real-world data.

• The course is self-paced, allowing learners to progress at their own speed while building essential analytical skills.

📌 Course Overview

• Learn the fundamentals of data collection, sampling, visualization, and statistical techniques used in data analysis.

• Gain hands-on experience with various methods such as correlation, regression, hypothesis testing, and ANOVA.

• Develop critical thinking and problem-solving skills essential for data-driven decision-making.

• Suitable for students, professionals, and researchers looking to enhance their data analysis capabilities.

📌 Course Curriculum / Modules

• Module 1-5: Introduction to Data, Data Collection Methods & Sampling Techniques

• Module 6-10: Data Processing, Editing, Coding & Questionnaire Design

• Module 11-15: Data Classification, Tabulation & Graphical Representation

• Module 16-22: Univariate & Bivariate Frequency Distribution, Measures of Central Tendency & Dispersion

• Module 23-25: Correlation & Regression Analysis

• Module 26-30: Population Estimation & Statistical Inference

• Module 31-35: Hypothesis Testing – t-Test, F-Test, Z-Test, Chi-Square Test

• Module 36-38: ANOVA – One-Way & Two-Way Analysis

• Module 39-41: Index Numbers & Their Applications

📌 What You Will Learn

✔️ Understand the fundamentals of data analysis and its importance in decision-making.

✔️ Learn data collection methods, sampling techniques, and data preprocessing.

✔️ Explore different types of data visualization techniques.

✔️ Master statistical measures such as correlation, regression, and hypothesis testing.

✔️ Gain insights into population estimation, ANOVA, and index numbers.

📌 Learning Objectives

🎯 Develop the ability to collect, clean, and analyze data effectively.

🎯 Interpret data patterns using statistical tools and techniques.

🎯 Apply statistical inference methods to solve real-world problems.

🎯 Enhance problem-solving skills in data-driven decision-making.

📌 Course Features & Benefits

✔️ Self-Paced Learning – Study at your own convenience.

✔️ Expert Video Lectures – Content from industry experts and educators.

✔️ Case Studies & Real-World Applications – Practical implementation of concepts.

✔️ Practice Assignments & Quizzes – Reinforce learning through hands-on exercises.

✔️ Capstone Project – Apply your knowledge to a real-world dataset.

📌 Who This Course is For?

✅ Students & Fresh Graduates interested in Data Science and Analytics.

✅ Working Professionals seeking to upskill in data-driven decision-making.

✅ Business Analysts, Marketers, and Researchers who handle data.

✅ Anyone aspiring to build a career in Data Science and Analytics.

📌 Skills Covered

✔️ Data Collection & Sampling Methods

✔️ Data Visualization & Graphical Representation

✔️ Statistical Analysis (Correlation, Regression)

✔️ Hypothesis Testing (t-Test, F-Test, Chi-Square)

✔️ ANOVA & Index Number Calculations

✔️ Real-World Data Processing & Analysis

📌 Complimentary Benefits for Students Enrolling Now

🎁 Access to Bonus Learning Materials (E-books, Research Papers)

🎁 Free Data Analysis Project Templates

🎁 Exclusive Membership in Learners’ Community Forum

🎁 Career Guidance & Placement Assistance

📌 Course Certificate Advantage

🏅 Industry-Recognized Certificate upon successful completion.

🏅 Adds value to resumes and LinkedIn profiles.

🏅 Enhances career opportunities in data-driven roles.

📌 Instructor Bio

👨‍🏫 Instructor is  an industry expert with [X] years of experience in Data Science & Analytics, has worked with top organizations and educational institutions to train professionals in data-driven decision-making.

📌 Books & References

📖 "Data Science for Business" – Foster Provost & Tom Fawcett

📖 "The Elements of Statistical Learning" – Hastie, Tibshirani, Friedman

📖 "Statistics for Business and Economics" – Paul Newbold, William Carlson

📌 Top Indian Companies Hiring with These Certifications & Skillsets

🏢 TCS, Infosys, Wipro, Accenture, Deloitte, EY, PwC, HCL, IBM, Amazon, Flipkart and many more!

📌 Video Source Disclaimer

📢 This course includes expert video lectures from Swayam Portal and other open education resources to ensure authentic learning.