Data management is a part of computing activities that have a great contribution to its operations. Data analysts are responsible to learn probability to be able to produce data analysis which is used by businesses and organizations.
You are provided in this [course_title] with the principles and methodologies of the data analysis. With these lessons, you are encouraged to implement environmental applications that help in programming the computer to utilize its potential.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: MIT
|L-1 Course Introduction||00:01:00|
|L-2 Descriptive Statistics||00:05:00|
|L-4 Joint Probability, Independence, Repeated Trials||00:05:00|
|L-5 Combinatorial Methods for Deriving Probabilities part 1||00:05:00|
|L-5 Combinatorial Methods for Deriving Probabilities part 2||00:10:00|
|L-6 Conditional Probability and Baye’s Theorem||00:10:00|
|L-7 Random Variables and Probability Distributions||00:05:00|
|L-8 Expectation, Functions of a Random Variable||00:10:00|
|L-9 Some Common Probability Distributions||00:05:00|
|L-10 Multivariate Probability||00:10:00|
|L-11 Populations and Samples||00:10:00|
|L-13 Confidence Intervals||00:15:00|
|L-14 Testing Hypotheses about a Single Population||00:10:00|
|L-15 Testing Hypotheses about Two Populations||00:15:00|
|L-16 Small Sample Statistics||00:10:00|
|L-17 Analysis of Variance||00:10:00|
|L-18 Multifactor Analysis of Variance||00:10:00|
|L-19 Linear Regression||00:10:00|
|L-20 Analyzing Regression Results||00:10:00|
|Submit Your Assignment||00:00:00|
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