Udemy MOOC / Non-credit 0

Statistics 2026 A-Z™: For Data Science with Both Python & R

Name: Statistics 2026 A-Z™: For Data Science with Both Python & R
Price: 99.99 USD
Availability: InStock

About this course

Data Science and Analytics is a highly rewarding career that allows you to solve some of the world’s most interesting problems and Statistics the base for all the analysis and Machine Learning models. This makes statistics a necessary part of the learning curve. Analytics without Statistics is baseless and can anytime go in the wrong direction.For a majority of Analytics professionals and Beginners, Statistics comes as the most intimidating, doubtful topic, which is the reason why we have created this course for those looking forward to learn Statistics and apply various statistical methods for analysis with the most elaborate explanations and examples!This course is made to give you all the required knowledge at the beginning of your journey, so that you don’t have to go back and look at the topics again at any other place. This course is the ultimate destination with all the knowledge, tips and trick you would require to start your career.This course provides Full-fledged knowledge of Statistics, we cover it all.Our exotic journey will include the concepts of:1. What’s and Why’s of Statistics – Understanding the need for Statistics, difference between Population and Samples, various Sampling Techniques.2. Descriptive Statistics will include the Measures Of central tendency - Mean, Median, Mode and the Measures of Variability - Variance, SD, IQR, Bessel’s Correction3. Further you will learn about the Shapes Of distribution - Bell Curve, Kurtosis, Skewness.4. You will learn about various types of variables, their interactions like Correlation, Covariance, Collinearity, Multicollinearity, feature creation and selection.5. As part of Inferential statistics, you will learn various Estimation Techniques

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What the provider tells you: 38/45
Who stands behind it: 8/35
How complete the listing is: 16/20

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What you'll learn

understand the necessity of statistics in data analysis
apply measures of central tendency and variability
describe shapes of distribution including bell curves, skewness, and kurtosis
analyze types of variables and their interactions through correlation and covariance
utilize estimation techniques in inferential statistics

Data Analysis Statistics & Probability #python #descriptive statistics #data analysis #statistics #measures of central tendency #sampling techniques #feature selection #r #inferential statistics #correlation #covariance #bell curve #skewness #kurtosis #measures of variability

$99.99

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