Data Science with R Course (Live Online)

Categories: Data Science
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About Course

Sample Certificate Click here

 

Batch Dates (January, 2024 to December, 2024)
January 6-Jan-2024 13-Jan-2024 20-Jan-2024 27-Jan-2024
February 4-Feb-2024 11-Feb-2024 18-Feb-2024 25-Feb-2024
March 3-Mar-2024 10-Mar-2024 17-Mar-2024 24-Mar-2024
April 7-Apr-2024 14-Apr-2024 21-Apr-2024 28-Apr-2024
May 5-May-2024 12-May-2024 19-May-2024 26-May-2024
June 2-Jun-2024 9-Jun-2024 16-Jun-2024 23-Jun-2024
July 7-Jul-2024 14-Jul-2024 21-Jul-2024 28-Jul-2024
August 4-Aug-2024 11-Aug-2024 18-Aug-2024 25-Aug-2024
September 8-Sep-2024 15-Sep-2024 22-Sep-2024 29-Sep-2024
October 6-Oct-2024 13-Oct-2024 20-Oct-2024 27-Oct-2024
November 3-Nov-2024 10-Nov-2024 17-Nov-2024 24-Nov-2024
December 8-Dec-2024 15-Dec-2024 22-Dec-2024 29-Dec-2024

Welcome to our comprehensive Data Science with R Course, where you will embark on a journey to master statistical analysis and machine learning using the versatile R programming language. This live online course is meticulously crafted to provide you with the skills sought after in today’s data-driven industries.

 

Why Learn Data Science with R?

R is a statistical computing language renowned for its robust statistical and data analysis capabilities. This course is tailored for aspiring data scientists, analysts, and professionals looking to harness the power of R in exploring, analyzing, and visualizing data.

 

Key Highlights of the Course:

  1. Hands-on R Programming: Dive into practical coding sessions using R for data manipulation, analysis, and visualization.
  2. Real-world Projects: Apply your knowledge to real-world scenarios through a capstone project, enhancing your problem-solving skills.
  3. Supervised and Unsupervised Learning: Master both sides of machine learning with in-depth coverage of supervised and unsupervised learning algorithms using R.
  4. Statistical Analysis with R: Explore statistical modeling, hypothesis testing, and regression analysis for robust data interpretation.
  5. Data Visualization: Utilize R’s powerful visualization libraries for effective communication of insights.

 

Who Should Enroll?

  • Aspiring Data Scientists and Analysts
  • Business Intelligence Professionals
  • Researchers and Academicians
  • Anyone keen on harnessing R for Data Science

 

What Sets Our Course Apart?

This 32-hour live online course is designed for practical, hands-on learning, ensuring you gain a strong foundation in data science with R. By the end of the course, you’ll be equipped to tackle real-world data challenges and advance your career in the dynamic field of data science.

 

Enroll Today and Elevate Your Data Science Journey with R!


Keywords: Data Science, R Programming, Machine Learning, Statistical Analysis, Data Analysis, Data Visualization, Capstone Project, Supervised Learning, Unsupervised Learning.

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What Will You Learn?

  • Foundations of Data Science and R
  • Data Wrangling and Preprocessing with R
  • Statistical Analysis and Visualization
  • Machine Learning with R
  • Predictive Modeling and Regression
  • Data Visualization with R
  • Text Analytics and Natural Language Processing
  • Time Series Analysis
  • Capstone Project
  • Assessment and Certification

Course Content

Module 1: Introduction to Data Science and R

  • Overview of Data Science and Its Applications
  • Introduction to the R Programming Language
  • Setting Up R Environment (RStudio)
  • Basic R Syntax and Data Structures

Module 2: Data Preprocessing and Cleaning with R

Module 3: Statistical Analysis with R

Module 4: Machine Learning with R – Supervised Learning

Module 5: Machine Learning with R – Unsupervised Learning

Module 6: Data Visualization Techniques with R

Module 7: Capstone Project

Module 8: Advanced Topics in Data Science with R