Data Science Training Sampler: Probabilities & Distributions

This Video on Data Science Training - Sampler will take you through the following list of topics
1.Distributions or Probability Distribution which are divided into three types
1.Normal Distribution
2.Standard Normal Distribution
3.T- Distribution
2.Q-Q plot which explains whether data are normally distributed or not
3.Central Limit theorem
4. How to decide upon the right sample size
5.Confidence interval in regression
6..Error measures
In previous video we understood the business problem and clearly list out business objectives and business constraints. The next step is data collection. As part of this, we have secondary and primary data collection sources. Secondary is very easy, convenient to get because it already exists within the organization, not publicly. It must be available. Primary data sources are surveys and experiments. These are very costly things and it's very tiny budget

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