Skip to content Skip to sidebar Skip to footer

Essential Statistics for Data Analysis

Essential Statistics for Data Analysis

Learn statistics with fun, real-world projects; probability distributions, hypothesis tests, regression analysis & more! Bestseller

Udemy Coupon Codes

Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. Essential statistics for data analysis is a course that covers the fundamental concepts and techniques of statistics that are essential for analyzing and interpreting data in a variety of fields, including business, economics, psychology, and the natural and social sciences.

Some of the topics that might be covered in an essential statistics for data analysis course include:

  • Descriptive statistics, including measures of central tendency (e.g., mean, median, mode) and measures of dispersion (e.g., range, variance, standard deviation)
  • Probability, including basic probability rules, probability distributions (e.g., binomial, normal), and expected value
  • Sampling, including sampling methods (e.g., simple random, stratified, cluster), sampling distributions, and sampling error
  • Estimation, including point estimation, interval estimation, and confidence intervals
  • Hypothesis testing, including null and alternative hypotheses, statistical significance, and testing procedures for means, proportions, and variances
  • Correlation and regression, including scatterplots, correlation coefficients, and simple linear regression
An essential statistics for data analysis course may be taught through lectures, readings, and hands-on data analysis exercises. Students may also learn how to use statistical software packages, such as R or SAS, to analyze data.
Online Course CoupoNED based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.