Mastering Data Science Foundations

📌 About This Course

• This self-paced course provides a deep dive into key statistical techniques and probability theory that are essential for data-driven decision making.

• The course is designed for learners who want to understand the foundations of data analysis, including descriptive statistics, hypothesis testing, regression, and more.

• Learn from industry experts and build your proficiency in applied data analysis tools and techniques.

📌 Course Overview

• Mode: 100% Online, Self-Paced

• Duration: 8 Weeks (You can learn at your own pace)

• Access: Lifetime access to the Learning Management System (LMS), materials, and updates.

• Support: 24/7 email & chat support

• Assessment: Practical assignments & hands-on projects

• Certification: Industry-recognized Certificate upon completion

📌 Course Curriculum & Modules

1️⃣ Week 1: Descriptive Statistics and Data Visualization

2️⃣ Week 2: Probability Theory

3️⃣ Week 3: Sampling and Estimation

4️⃣ Week 4: Confidence Intervals

5️⃣ Week 5: Hypothesis Testing

6️⃣ Week 6: Analysis of Variance

7️⃣ Week 7: Correlation Analysis

8️⃣ Week 8: Applied Linear Algebra

📌 What You Will Learn

✅ Master fundamental concepts of statistics and probability used in data analysis.

✅ Learn how to visualize and interpret data effectively to make informed decisions.

✅ Gain expertise in hypothesis testing, confidence intervals, and sampling techniques.

✅ Develop an understanding of linear algebra and its applications in data science.

✅ Understand the application of statistical methods in business, economics, and scientific research.

📌 Learning Objectives

🎯 Understand key statistical concepts like mean, median, mode, and their application.

🎯 Learn probability theory, random variables, and their role in business decision-making.

🎯 Gain proficiency in sampling techniques, estimation, and data inference.

🎯 Master hypothesis testing, ANOVA, and correlation analysis.

🎯 Learn how to apply linear algebra in machine learning and data science.

📌 Course Features & Benefits

🔹 Lifetime Access to course materials and future updates.

🔹 Hands-on Projects and real-world datasets for practical learning.

🔹 Interactive video lectures, case studies, and quizzes for engaging learning.

🔹 24/7 support to assist with doubts and clarifications.

🔹 Learn at your own pace with flexible deadlines.

🔹 Comprehensive downloadable resources and study material.

📌 Who This Course is For

✔️ Aspiring Data Scientists looking to build a strong foundation in statistics and probability.

✔️ Business Analysts or professionals who need statistical tools to make data-driven decisions.

✔️ Students and Researchers in economics, social sciences, or any field that requires data analysis.

✔️ IT professionals looking to enhance their analytical skills for machine learning or data science roles.

✔️ Entrepreneurs who want to understand how to make data-based business decisions.

📌 Skills Covered

🔹 Descriptive Statistics – Mean, Median, Mode, Range, and more.

🔹 Data Visualization – Using tools like Excel, Python, or R for effective data presentation.

🔹 Probability Theory – Understanding random variables, distributions, and Bayes' theorem.

🔹 Sampling and Estimation – Collecting data and making predictions.

🔹 Hypothesis Testing – T-tests, Z-tests, and Chi-square tests.

🔹 Analysis of Variance (ANOVA) – Understanding variations in data.

🔹 Correlation Analysis – Understanding relationships between variables.

🔹 Applied Linear Algebra – Matrix operations, Eigenvalues, and their use in data science.

📌 Special Benefits to Students for Enrolling Now

🚀 Limited-Time Discount – Special pricing for the first 100 enrollees.

🎁 Free Bonus Material – Downloadable statistical formulas cheat sheet.

💼 Internship & Job Assistance – Access to our exclusive job board for data-related roles.

💡 Exclusive Access to expert-led Q&A sessions and discussion forums.

📌 Exclusive Complimentary Benefit: One-on-One Expert Interaction

🎓 One-on-One consultation with industry experts to answer questions and guide career decisions.

📝 Personalized feedback on projects and assignments to boost your learning experience.

📌 Course Certificate

✅ Globally Recognized Certification upon completion.

✅ Add the certificate to LinkedIn, resumes, and job applications.

✅ Improve credibility for roles like Data Analyst, Business Analyst, Data Scientist, and more.

📌 Books & Reference

📘 Statistics for Business and Economics – Paul Newbold

📘 Introduction to Probability – Dimitri P. Bertsekas, John N. Tsitsiklis

📘 Applied Linear Algebra – Peter J. Olver

📘 The Essence of Multivariate Thinking: Basic Themes and Methods – Lisa L. Harlow

📌 Indian Companies Hiring with These Certifications & Skillsets

💼 Tech Companies: Infosys, TCS, Wipro, Accenture

💼 E-commerce Giants: Amazon India, Flipkart, Swiggy

💼 Consulting Firms: McKinsey & Company, BCG, Deloitte, PwC

💼 Startups & Fintech: Razorpay, Zomato, PhonePe

💼 Government Agencies & NGOs: ISRO, RBI, NITI Aayog