Data Science Course with R

4.5 (7031) 9031 Learners

Wissenhive's Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.

Duration
30+hours
Institution
Open Source
Language
English
Video Script
English

Overview

Wissenhive's in-depth workshop on Data Science with R will help you master R and use its inbuilt functions and libraries for creating applications and programs for data science. R is a much preferred program because of its robustness, flexibility and ease of coding. Its various techniques such as clustering, time-series analyses and classification techniques, nonlinear/linear modelling and classical statistical tests make it apt for use in the field of statistical computation and data science.

 

What you will learn

  • Tools & Technologies
  • Statistics for Data Science
  • R for Data Science
  • Exploratory Data Analysis
  • Data Visualization using R
  • Advanced Statistics & Predictive Modeling

Syllabus

International industry expertise at your disposal as you deep-dive into the research topic and sector of your choice.

Course Content

Introduction to Data Science (4 Lectures)

What is Data Science?

15:31 Play

Analytics Landscape

15:32 Play

Life Cycle of a Data Science Project

15:32 Play

Data Science Tools & Technologies

15:32 Play

Mastering R (10 Lectures)

Introduction to R Programming

15:33 Play

Installing and Loading Libraries

15:33 Play

Data Structures in R

15:33 Play

Control & Loop Statements in R

15:33 Play

Functions in R

15:33 Play

Loop Functions in R

15:33 Play

String Manipulation & Regular Expression in R

15:33 Play

Working with Data in R

15:33 Play

Data Visualization in R

15:33 Play

Case Study

15:33 Play

Probability & Statistics (8 Lectures)

Measures of Central Tendency

15:35 Play

Measures of Dispersion

15:35 Play

Descriptive Statistics

15:35 Play

Probability Basics

15:35 Play

Marginal Probability

15:35 Play

Bayes Theorem

15:35 Play

Probability Distributions

15:35 Play

Hypothesis Testing

15:35 Play

Advanced Statistics & Predictive Modeling -I (6 Lectures)

ANOVA

15:37 Play

Linear Regression (OLS)

15:37 Play

Case Study: Linear Regression

15:37 Play

Principal Component Analysis

15:37 Play

Factor Analysis

15:37 Play

Case Study: PCA/FA

15:37 Play

Advanced Statistics & Predictive Modeling -II (6 Lectures)

Logistic Regression

15:38 Play

Case Study: Logistic Regression

15:38 Play

K-Nearest Neighbor Algorithm

15:38 Play

Case Study: K-Nearest Neighbor Algorithm

15:38 Play

Decision Tree

15:38 Play

Case Study: Decision Tree

15:38 Play

Time Forecasting (7 Lectures)

Understand Time Series Data

15:39 Play

Visualizing Time Series Components

15:39 Play

Exponential Smoothing

15:40 Play

Holt's Model

15:40 Play

Holt's MoHolt-Winter's Modeldel

15:40 Play

ARIMA

15:40 Play

Case Study: Time Series Modeling on Stock Price

15:40 Play

Course Details

Data science is a "concept to unify statistics, data analysis and their related methods" to "understand and analyse actual phenomena" with data. Data Science Training employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science from the sub-domains of machine learning, classification, cluster analysis, data mining, databases, and visualization. The Data Science Certification Course enables you to gain knowledge of the entire life cycle of Data Science, analyse and visualise different data sets, different Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.

Who should go for this Data Science Course?

The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:

  • Developers aspiring to be a 'Data Scientist'
  • Analytics Managers who are leading a team of analysts
  • Business Analysts who want to understand Machine Learning (ML) Techniques
  • Information Architects who want to gain expertise in Predictive Analytics
  • 'R' professionals who wish to work Big Data
  • Analysts wanting to understand Data Science methodologies

 

Enquiry

Training Options

Self-paced Training

299
  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 3 simulation test papers for self-assessment
  • Lab access to practice live during sessions
  • 24x7 learner assistance and support

Live Virtual Classes

499
  • Online Classroom Flexi-Pass
  • Lifetime access 
  • Practice lab and projects with integrated Azure labs
  • Access to Microsoft official content aligned to examination

One on One Training

Enquiry Now
  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
  • Enterprise grade learning management system (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Exam & Certification

No examination required.

Towards the end of the course, you will be working on a project. on successful completion, Wissenhive certifies you as a 'Data Science Expert' based on the project.

Data Science Course with R

Frequently Asked Questions

If you have a Windows system, you should have:

  • Microsoft Windows 7 or newer (32-bit and 64-bit)
  • Microsoft Server 2008 R2 or newer
  • Intel Pentium 4 or AMD Opteron processor or newer
  • 2 GB memory
  • 1.5 GB minimum free disk space
  • 1366 x 768 screen resolution or higher

If you have a MAC system, you should have:

  • iMac/MacBook computers 2009 or newer
  • OSX 10.10 or newer
  • 5 GB minimum free disk space
  • 1366 x 768 screen resolution or higher

For executing the practicals, you will set-up R programming IDE on your machine, you can:

  • Download RStudio Desktop Open Source License from the Rstudio Official Website for free
  • Or, purchase the licensed Full- version of RStudio Desktop Commercial License

The detailed step by step installation guides will be present in your LMS which will help you to install and set-up the required environment. In case you come across any doubt, the 24*7 support team will promptly assist you.

Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.

Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.

Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.