Data science certification using R

10000 Learners


Course Objective:

Prerequisite: No expertise is required; however basic knowledge High School Mathematics and Statistics will be required


Course Content:

TOPICS TO BE COVERED:

Introduction to Data Science
  • What is data science
  • Different fields of data science
  • The ven diagram for data science
  • Tools of data science
  • Introduction to R for data science
Introduction to R programming
  • Introduction to R and its features
  • Install R and RStudio
  • Different data types and functions in R
  • Control statements and loops in R
  • Vectors, lists, matrix, factors in R
  • R data frames
  • Data reshaping and merging
  • Reading data from external file (csv/excel)
R packages for Data manipulation
  • What is data exploration and data wrangling
  • R packages for data exploration
  • Installing and using the packges
  • Dplyr package and its functions
  • Chaining of different functions
  • Data.table package for fastest manipulation in data
Generating plots in R
  • Install ggplot2 visualization package
  • Concepts of geom() function
  • Different charts like, bar plot, histogram, pie chart etc
  • Box plot and its uses
  • Draw density plot and frequency polygon plot
  • Set axis labels and title of R chart
  • Draw plot with png in background
  • Save plots as an image in disc
Statistical inference
  • Why we need statistics
  • Terminology used in statistics
  • Measure of central tendency
  • Measure of spread
  • Correlation and covariance
  • Standard deviation
  • Standardization and normalization
  • Normal and binary distribution
  • Probability and types of probability
  • Hypothesis testing
  • ANOVA (Analysis of Variance)
Introduction to Machine learning
  • What is machine learning
  • Types of machine learning
  • Concepts of supervised and unsupervised learning
  • Predictive modeling using Linear Regression
  • Simple and multiple linear regression
  • Assumptions of linear regression
  • Accuracy test for the model
Projects
  • Bigmart sale analysis
  • House price prediction
  • Analysis of stock market
  • Youtube data analysis


Key Features

  • Gain skills and competencies required in Industry by Experts.
  • Work on Real-time Projects depending upon the course you select.
  • Students work in a professional corporate environment.
  • Get a globally recognized Certificate form WebTek with our partner logos.
  • Global Brand recognition for Placements.

Includes

  • Course Duration: 1 Month
  • Suitable For:2nd Yr / 3rd Yr / 4th Yr B.Tech. / Diploma / MCA / BCA students

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