Edusity logo
Price $6.00
Enroll Now

Overview

Approx 29 Hours To Complete Learn Data Science Machine Learning With R From A-Z in English Language

In this practical, hands-on course you’ll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

Requirements

    Basic computer skills

Syllabus

    1: DS + ML COURSE + R INTRO

    2: DATA TYPES/STRUCTURES IN R

    3: DATA MANIPULATION IN R

    4: DATA VISUALIZATION IN R

    5: MACHINE LEARNING

    6: STARTING A DATA SCIENCE CAREER

What you will learn

  • DS And ML From A-Z Course Intro

  • Getting Started With R

  • Data Type And Structures In R

  • Intermediate R

  • Data Manipulation In R

  • Data Visualization In R

  • Two Variable Plots

  • Crating Reports With R Markdown

  • Introduction To Machin Learning

  • Data Processing

  • Linear Regression A Simple Model

  • Exoploratory Data Analysis

  • Linear Regression A Real Model

  • Logistic Regression

  • Starting In Career In Data Science

About the instructor

Juan Galvan
  • 0 Instructor Rating
  • 0 Reviews
  • 0 Students
  • 5 Courses
  • Juan Galvan

    Skills :Data Science,Graphics,Programming Language,SEO

Student feedback

  • Stars 5
  • 0%

  • Stars 4
  • 0%

  • Stars 3
  • 0%

  • Stars 2
  • 0%

  • Stars 1
  • 0%

0

Course Rating

Related Courses

Data Science 101 Learn Data Science The Right Way
Data science 101

Satyajeet Narayan

Data Science 101 Learn Dat...

KelvinF

NumPy For Numerical Comput...
Do You have a Question

Ask any queries or doubts about this course & get responses from Teachers

    Course Features

  • Lectures 15
  • Quizzes 0
  • Duration 29 Hours
  • Skill level Beginner
  • Language English
  • Assessments Yes

Skills You Will Acquire

  • Data Science
  • Machine Learning