- Instructor: Mahad Salad
- Lectures: 98
- Students: 8
- Duration: 30 days
Probability
This course gives you a broad overview on several concepts and real world examples of probability. Students who want to learn concepts from scratch, would find it helpful to kickstart their preparation and
the course helps them to overcome any hurdles in their homework assignments or any competitive exams.
The course is also designed for intermediate and advanced level students to understand in depth the fundamental concepts of probability and the instructor walks you through complex exercises in each section. Our goal is to provide students an interactive learning experience.
The probability is needed for students who want to persue their degrees in Business, Finance, Business Intelligence, Data Science, Machine Learning, Computer Science and Electrical Engineering.
In this course, you will get over —– videos specifically designed to cover all of the material in probability explained in Somali language. The most important part is that this course and videos makes probability easy.
Using the Content you can pick and choose the topics that are causing you the most difficulty and find the videos easily in numerical order.
This course of probability there are also many standard example questions so you can practice what you have learned and a step by step solution procedure which will teach you strategies to tackle various types of problems.
So what are you waiting for? Start to register today and be the master of probability. We would be honored if you would join by clicking “Enroll Now. 100% Risk Free.”
See you inside!
Please keep in touch, let us know how we are doing and if there is anything extra we can provide to assist you with your learning of probability.
Statistics
We will cover in this course everything you need to know about Statistics and Data Analysis and you will learn how easily and effectively analyze and interpret data involving introductory statistics. We will go over a theory and implementation of statistics to real world problems. Each section contains illustrative example problems.
This course provides step by step instruction with clear and accurate explanations because we assume that students have absolutely no background or no prior knowledge in Statistics.
This course is designed for High School Students, Undergraduate Students for Colleges or Universities, Business students and professionals, Business Managers who are trying to make decisions based on data and facts, Data Analysts, Statistical Analysts, Data Sciences, Market Researchers and so on.
In this course, you will get over —– videos specifically designed to cover all of the material in probability explained in Somali language. The most important part is that this course and videos makes probability easy.
Using the Content you can pick and choose the topics that are causing you the most difficulty and find the videos easily in numerical order.
This course of probability there are also many standard example questions so you can practice what you have learned and a step by step solution procedure which will teach you strategies to tackle various types of problems.
So what are you waiting for? Start to register today and be the master of probability. We would be honored if you would join by clicking “Enroll Now. 100% Risk Free.”
See you inside!
Please keep in touch, let us know how we are doing and if there is anything extra we can provide to assist you with your learning of probability.
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Overview
In this section we'll show you how this course has been structured and how to get the most out of it through content. We'll also show you first free video in order to look in our course
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Probability & Statistics Part1
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Lecture 2.11B Organized Counting26m
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Lecture 2.21C Organized Counting26m
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Lecture 2.32A Permutation29m
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Lecture 2.42B Permutation28m
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Lecture 2.52C Permutation30m
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Lecture 2.62D Permutation31m
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Lecture 2.73A Combinations29m
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Lecture 2.83B Combinations33m
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Lecture 2.94A Fundamentals of Probability31m
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Lecture 2.104B Fundamentals of Probability28m
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Probability & Statistics Part 2
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Lecture 3.14C Fundamentals of Probability24m
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Lecture 3.24D Fundamentals of Probability26m
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Lecture 3.35A Multiplication and Addition Probability33m
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Lecture 3.45B Multiplication and Addition Probability29m
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Lecture 3.55C Multiplication and Addition Probability29m
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Lecture 3.65D Multiplication and Addition Probability29m
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Lecture 3.75E Multiplication and Addition Probability17m
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Lecture 3.86A Conditional Probability27m
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Lecture 3.96B Conditional Probability32m
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Lecture 3.106C Conditional Probability29m
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Probability & Statistics Part 3
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Lecture 4.16D Conditional Probability32m
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Lecture 4.27A Bayes’ Theorem34m
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Lecture 4.37B Bayes’ Theorem24m
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Lecture 4.47C Bayes’ Theorem22m
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Lecture 4.58A Binomial Probability32m
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Lecture 4.68B Binomial Probability26m
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Lecture 4.78C Binomial Probability30m
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Lecture 4.88D Binomial Probability25m
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Lecture 4.99A Probability Distribution Tables21m
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Lecture 4.109B Probability Distribution Tables27m
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Probability & Statistics Part 4
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Lecture 5.19C Probability Distribution Tables26m
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Lecture 5.210A Odds in Favor and Against29m
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Lecture 5.311A Expected Value29m
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Lecture 5.411B Expected Value25m
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Lecture 5.512A Introduction to statistics35m
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Lecture 5.612B Introduction to statistics33m
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Lecture 5.713A Descriptive and Inferentail Statistics29m
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Lecture 5.814A The Frequency Distribution30m
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Lecture 5.914B The Frequency Distribution27m
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Lecture 5.1015A Statistical Charts and Graphs28m
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Probability & Statistics Part 5
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Probability & Statistics Part 6
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Lecture 7.120A Solving Basic Trigonometric Equations30m
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Lecture 7.220B Measures of Data Locations31m
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Lecture 7.320C Measures of Data Locations30m
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Lecture 7.420D Measures of Data Locations29m
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Lecture 7.521A Measure of Dispersion30m
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Lecture 7.621B Measure of Dispersion28m
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Lecture 7.721C Measure of Dispersion30m
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Lecture 7.822A Sampling Distribution33m
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Lecture 7.922B Sampling Distribution30m
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Lecture 7.1023A Central Limit Theorem30m
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Probability & Statistics Part 7
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Lecture 8.123B Central Limit Theorem30m
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Lecture 8.223C Central Limit Theorem32m
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Lecture 8.323D Central Limit Theorem29m
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Lecture 8.423E Central Limit Theorem32m
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Lecture 8.524A Population Proportion28m
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Lecture 8.624B Population Proportion23m
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Lecture 8.724C Population Proportion24m
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Lecture 8.825A Confidence Intervals41m
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Lecture 8.925B Confidence Intervals40m
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Lecture 8.1025C Confidence Intervals20m
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Probability & Statistics Part 8
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Lecture 9.125D Confidence Intervals27m
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Lecture 9.225E Confidence Intervals16m
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Lecture 9.326A Chi-Square Ditribution34m
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Lecture 9.427A Estimating Population Variance and Standard Deviation33m
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Lecture 9.527B Estimating Population Variance and Standard Deviation27m
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Lecture 9.628A Introduction to Hypothesis Testing33m
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Lecture 9.728B Introduction to Hypothesis Testing30m
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Lecture 9.828C Introduction to Hypothesis Testing28m
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Lecture 9.928D Introduction to Hypothesis Testing35m
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Lecture 9.1028E Introduction to Hypothesis Testing37m
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Probability & Statistics Part 9
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Lecture 10.129A Hypothesis Testing for Means30m
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Lecture 10.229B Hypothesis Testing for Means27m
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Lecture 10.329C Hypothesis Testing for Means30m
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Lecture 10.430A Hypothesis Testing for Population Parameter33m
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Lecture 10.530B Hypothesis Testing for Population Parameter22m
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Lecture 10.630C Hypothesis Testing for Population Parameter21m
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Lecture 10.731A P-value for Hypothesis Testing34m
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Lecture 10.831B P-value for Hypothesis Testing28m
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Lecture 10.931C P-value for Hypothesis Testing25m
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Lecture 10.1031D P-value for Hypothesis Testing23m
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Probability & Statistics Part 10
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Lecture 11.131E P-value for Hypothesis Testing32m
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Lecture 11.232A Hypothesis Testing for Population Variance and Standard Deviation35m
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Lecture 11.333A Hypothesis Testing for Two Means (Large Independent Samples)36m
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Lecture 11.433B Hypothesis Testing for Two Means (Large Independent Samples)32m
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Lecture 11.533C Hypothesis Testing for Two Means (Large Independent Samples)33m
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Lecture 11.633D Hypothesis Testing for Two Means (Large Independent Samples)31m
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Lecture 11.733E Hypothesis Testing for Two Means (Large Independent Samples)28m
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Lecture 11.834A Hypothesis Testing for Two Means (Small Independent Samples)32m
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Lecture 11.934B Hypothesis Testing for Two Means (Small Independent Samples)26m
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Lecture 11.1034C Hypothesis Testing for Two Means (Small Independent Samples)31m
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