About Course
I know, Statistics and Probability is difficult. But is there a way to make it easy? Of course. I for one managed that.
I know a lot of people struggle with it; a very small group of people are good at it. Back in university, I was in that bigger group, the group that struggled through Probability and Statistics lecture. I needed help; I couldn’t understand a thing, but I finally found help and turned my exam result around. I guess since you’re looking at this, you need help too.
This COMPLETE GUIDE course of Statistics and Probability contains everything you need to know to get started with Probability and Statistics. It’s packed with videos that have been categorized into different topics, hence easy for you to learn.
I’ve included lots of definitions, theorems, quizzes, examples, concise notes for EVERY single section, exercises, and a walkthrough of all the exercise sheets. Most importantly, It includes some additional questions that will strengthen your skill even more.
With this basic Statistics and Probability course, you will have a good core understanding to pursue a much more difficult Mathematics topic. In this course, everything has been broken down into a simple structure to make learning and understanding easy for you.
This COMPLETE guide is for those of you who are looking to get a full understanding of the basics; the important parts. You’ve already shown half of your determination by looking at the course, so if this course sounds right for you, boost your eagerness to learn and join me on this journey!
Tips:
1) It will be very useful if you also take notes of your own as you’re watching the lectures, it will help you understand everything better and quicker. Just pause if I move on to other topics too fast or if you haven’t fully understood the previous subtopic before you move on to the next parts.
2) Use headphones for better sound. (I suggest you turn the volume up)
Who these Statistics and Probability course are for:
 high school students
 university students
 courses that require probability and statistics (e.g. computer science, and other sciences)
 Engineering
Course Content
Statistics and Probability

Overview Of Random Variable & Probability Distribution
00:00 
Random Variable, Probability Mass Function, Distribution Function
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Random Variable, Probability Density Function, Cumulative Distribution Function
00:00 
Mathematical Expectation, Variance Of Continuous & Discrete Random Variable
00:00 
Binomial Distribution
00:00 
Fitting of Binomial Distribution  Examples
00:00 
Poisson Distribution  Proof Binomial Tends to Poisson Distribution
00:00 
Poisson Distribution  Mean & Variance
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Poisson Distribution  Poisson Distribution Examples with Solutions
00:00 
Poisson Distribution  Fitting of Poisson Distribution  Example
00:00 
Exponential Distribution  Mean & Variance  Moment Generating Function
00:00 
Normal Distribution  Mean and Variance of Normal Distribution
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Normal Distribution  Moment Generating Function  Mean & Variance By MGF
00:00 
Normal Distribution  Normal Distribution Table & Area Under Curve  Examples
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Normal Distribution  Normal Distribution Table & Area Under Curve  Examples PartII
00:00 
Uniform Distribution  Rectangular Distribution  Mean & Variance  Moment Generating Function
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Skewness & Kurtosis  Moments  Leptokurtic, Mesokurtic, Platykurtic
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Skewness & Kurtosis  Moments  Leptokurtic, Mesokurtic, Platykurtic  Examples
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Joint Probability Distribution , Joint PMF, Marginal PMF, Bivariate RV
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Joint Probability Distribution , Joint PMF, Marginal PMF, Statistical Independence
00:00 
Correlation Coefficient  Correlation Coefficient Example  Statistics
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Rank Correlation  Rank Correlation Coefficient  Spearman Rank Correlation
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Rank Correlation  Repeated Rank Correlation  Spearman Rank Correlation
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Regression Analysis, Regression Coefficient, Linear Regression PartI
00:00 
Regression Analysis, Regression Coefficient, Linear Regression PartII
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Regression Analysis, Angle Between Two Regression Lines, Proof
00:00 
6 Tips To Get Motivated During Exam Preparations
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Unacademy Official Advertisement
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Assignment Problem  Hungarian Method  Example of Assignment Problem
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Assignment Problem  Hungarian Method  Unbalanced Assignment Problem
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Assignment Problem  Hungarian Method  Maximization Assignment Problem
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Assignment Problem  Hungarian Method  Restricted Assignment Problem
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Game Theory  Saddle Point In Game Theory  Pure Strategy Game Theory  Operation Research
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Game Theory  Two Person Zero Sum Game  Mixed Strategy Game Theory  Operation Research
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Game Theory  Game Theory Dominance Rule  Operation Research
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