Introductory Probability and Statistics

🎓 Unlock the World of Probability and Statistics with Excel - Introductory Course by Ash Narayan

🚀 Course Headline: An Excel-Oriented Journey into the Fundamentals of Probability and Statistical Analysis 📊✨

🎉 About This Course: Embark on a comprehensive learning adventure with our Introductory Probability and Statistics course. Designed to lay a solid foundation for higher-level statistical studies, this course is perfect for anyone looking to understand the core concepts of descriptive and inferential statistics, and how to apply them using Excel. With 85 detailed video lectures, you'll master the art of estimating probability and conducting statistical analysis with ease.

📖 Course Structure: The course is meticulously divided into 10 engaging sections:

1. Introduction to Statistics

   • Understand statistics in both singular and plural contexts.
   • Explore the characteristics, nature, scope, and types of statistics.
   • Address distrust and limitations associated with statistical analysis.

2. Descriptive Statistics

   • Dive into Measures of Central Tendency (Mode, Median, Mean).
   • Explore Measures of Dispersion (Range, Variance, Standard Deviation).
   • Understand Measures of Shape (Skewness, Kurtosis).

3. Probability Basics

   • Grasp the fundamentals of probability.
   • Master the Rules of Counting and explore Events & Sample Space.
   • Work with Set & Venn Diagrams and learn different approaches to probability.
   • Understand the Addition Rule, Multiplication Rule, Law of Total Probability, and Bayes' Theorem.

4. Random Variables

   • Learn about Discrete and Continuous Random Variables.
   • Comprehend Expected Value, Variance, and Probability distributions (Binomial, Poisson, Normal Distribution).

5. Sampling Distributions

   • Distinguish between Population and Sample, Parameters and Statistics.
   • Explore Sampling Distributions of Mean and Types of Sampling.
   • Study the Theorems of Sampling Distribution for a deeper understanding.

6. Estimation Techniques

   • Discover Estimators & Estimates and their qualities.
   • Learn Point Estimate and Interval Estimate techniques.
   • Construct Confidence Intervals and determine Sample sizes.

7. Hypothesis Testing

   • Get to grips with the concept of Null and Alternate Hypotheses.
   • Understand Two-tail & One-tail Tests, Types of Error, and Hypothesis Testing Procedures.
   • Conduct tests for a Population Mean in various scenarios (Large and Small Sample, Independent Samples, Paired t-test).

8. Analysis of Variance (ANOVA)

   • Learn One-Way and Two-Way ANOVA with and without replication using Excel.
   • Explore N-Way ANOVA for more complex data analysis.

9. Correlation Analysis

   • Introduce the concept of Correlation and its importance.
   • Create Scatter Plots and calculate Karl Pearson Coefficient of Correlation.
   • Study Spearman Rank Order Correlation and Hypothesis Testing of Population Coefficient of Correlation.

10. Regression Analysis

    • Delve into the basics of Regression.
    • Draw and interpret Regression Lines.
    • Understand the assumptions of the Classical Linear Regression Model.
    • Learn the Ordinary Least Squares (OLS) Method and the R Square value.
    • Perform Hypothesis Testing for alpha and beta, and conduct forecasts using Regression Models.
    • Master Regression Estimation with Excel for real-world applications.

🎓 Why Enrol in This Course? This course is designed to make complex statistical concepts understandable and accessible to learners of all levels. By the end of this course, you'll be equipped with practical skills to perform statistical analysis using Excel, removing any doubts or confusion around probability and statistics. Whether you're a student, professional, or enthusiast, this course will empower you with the knowledge and confidence to apply statistical methods effectively in real-world situations.

📆 Key Takeaways:

• A solid foundation in descriptive and inferential statistics.
• Proficiency in using Excel for statistical analysis.
• A clear understanding of probability concepts and their applications.
• The ability to perform hypothesis testing, ANOVA, correlation, and regression analysis.

🎉 Enrol Now! Take the first step towards mastering probability and statistics with this Excel-Oriented course that will transform your analytical skills. Sign up today and join a community of learners who are unlocking the power of data!