data analytics with r and ml

Program Objective

The objective of our program is to provide the introduction to the machine learning methods and applications in R. The main focus of this course is on supervised learning and unsupervised learning and how to use machine learning tools by applying the language R and the knowledge of statistics in your real-life examples. As per research, the number of job openings for data analyst will be vast in the upcoming years. So it’s a great way of entering in the IT sector.

Learning Outcomes

After completing the course you will be able to preprocess the data with the help of R which includes data wrangling, cleaning, and sampling to get a suitable dataset. You will learn how to manage and explore data to apply machine learning algorithms to model good hypotheses. You will learn to predict using statistical, supervised and unsupervised models and show the results through visualization, stories, and interpret able summaries.

Course Overview

  • History of R
  • R installation on Windows, Linux and Mac
  • Atomic and Non-Atomic Data types & Homogenous and Non-Homogenous
  • Vector, Matrix, Array
  • List, Data frame Factor
  • Merging datasets
  • Functions
  • Apply family
  • Control Functions in R
  • Uploading and Downloading different files into R
  • Generating different types of graphs
  • SQL
  • Excel and R
  • Statistics
  • Probability
  • Correlation and Regression Analysis
  • Classification Algorithms
  • Clustering
  • Time Series Analysis

Pre-requisite Skills

As such there are no pre-requisite skills required to learn that program but if you have a little bit knowledge of statistics then it’s beneficial for you.

Course Benefits

  • Study Material.
  • Placement Assistance
  • Interview Preparation
  • Experienced and Certified Trainers
  • Certificate exam from Emerging India
  • Online Assignments

Interview Preparation & Personality Development

Career prospect

After completing the course you have many opportunities and jobs in the field of it industry as follows

Job titles

  • Data analyst
  • Business consultant
  • Analyst associate

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