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Statistics for Data Science using R programming

Implement Statistical Models using software codes
15,000

Description

Statistics is an integral part of any data science learning curve. Number crunching and data mining tasks are very well performed using statistical methods and techniques covered in this program. It is well suited for data descriptives, inferential analysis or predictive modelling. Statistics is required and used everywhere from fundamentals to advanced machine learning models.

TECHNOLOGY USED: R for Statistics

What Will I Learn?

  • This course will enhance your understanding towards machine learning
  • Will give you a sense of numbers and how to manipulate or transform them
  • To deal with data sets and understand statistical differences in them
  • Measure a dataset and examine its reliability for further statistical usage
  • Test hypothesis, alternate hypothesis, inferences and conclusions

Topics for this course

33 Lessons10h

An Introduction to Statistics

Why should you learn this course and who use statistics anyhow?
A little history of statistics
Grouping and displaying data
Arranging data
Raw data
Constructing a frequency distribution

Central Tendency

Probability

Probability Distributions

What is data sampling?

Chi-square and ANOVA()

Correlation and Regression

About the instructors

Pedagogy Trainings

4.60 ratings (5 )
21 Courses
60 students

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Course Details

  • Level: Beginner
  • Categories: Data Science
  • Total Hour: 10h
  • Total Lessons: 33
  • Total Enrolled: 0
  • Last Update: July 22, 2020

Requirements

  • Elementary Mathematics

Target Audience

  • All working professionals
  • Managers, Team-leads, Business Analysts, Business Executives
  • All those who want a competitive edge in data science and machine learning