6. Discrete and Continuous Probability Distributions
7. Sampling Distributions
8. Confidence Intervals
9. Significance Tests.
The first chapter will focus on one variable analysis - we start with discussing the various descriptive statistics, how data can be represented using frequency tables and then move on to discussing measures of central tendency and their interpretation.
The second module will focus on Correlation and OLSRegression and show how these can be calculated in Excel using various formulae. We will then also discuss the interpretation of these results
The next module will focus on Probability theory like sample space, events, randomness and basic set theory. We will then move onto discussing conditional probability and introduce the concept of mutually exclusive events.
In the fourth module, we will discuss Probability Distributions and show the difference between a continuous and a discrete distribution focusing on Normal and Binomial distributions.
The next chapter will discuss Sampling Distributions and introduce the concept of Central Limit Theorem and why sampling is important. We will also link the Central Limit theorem to the normal distribution.
The sixth module will focus on confidence intervals and the use of intervals to determine centre of a distribution as opposed to a point estimate such as the mean. We will also discuss the relationship between the significance level (alpha) and the confidence level.
The last module will introduce the concepts of Significance Tests - what they are and aren't (i.e. you can't prove anything); how to define the null and alternate hypotheses correctly; getting the direction and 'tails' of your distribution correct and finally Type I and Type II errors with example and interpretations.
This course is basically the go-to course for laying strong foundations of statistical concepts you want, and the explanation and examples provided are something which haven’t beendone in any other course on this platform.
There are helpful quizzes included in all sections that will help you to cement the concepts learnt. Also, we are committed to add new practice activities so that you can practically apply the concepts learnt in this course.
Why should you start learning STATISTICS NOW!
Jobs in Analytics – Data is everywhere and with that is the need to have professionals who can interpret that data which will come with a good understanding of statistical concepts
Demand is only going to go up – With more organizations realizing the potential of statistics for their business, data analysts knowing statistics will excel over the ones just knowing technical tools. For a good Data Analyst, it is THE backbone!
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