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Pritesh is a Data Scientist, prefers calling himself a Data story-teller and Python evangelist. He has decent experience in Data Science industry, where most of his career has been focused towards applying Machine Learning principles to solve business problems.
Been associated with India’s leading eCommerce company and was among the core members of their analytics team, handling new Product launches and sale events.
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If you’ve entered the world of Data Science, you might have come across people stating “Maths” and “Statistics” as a prerequisite to data science. Statistics is used to process complex problems in the real world so that data scientists and analysts can look for meaningful trends and changes in data.
This workshop will pave the statistical foundation for our further discussions on data science.
Basic statistics: Mean, Median, Mode, Variance, Standard Deviation, Percentile, IQR, etc.
Probability Distribution: Binomial Distribution, Poisson Distribution, Normal Distribution, etc.
Population and Sample: understanding the basic concepts, the concept of sampling
Confidence Interval and Hypothesis Testing: How to Perform Validation Analysis
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