Certificate in R for Data Science Programming in Advance

Self-Paced

Fee: ₹2,999

Priyanka Sharma | Trainer (Subject Expert ) Future Skill Academy

This R programming course provides a comprehensive introduction to statistical analysis and data visualization. Covering fundamentals like variables, data types, and operators, it progresses to programming concepts, data manipulation, and analysis using libraries like dplyr and ggplot2. Hands-on exercises develop skills for handling data tasks and introduce machine learning, deep learning, AI, and NLP, exploring various algorithms and building models for prediction and evaluation using MSE and R-squared.

Objectives

The R Programming for Beginners course aims to equip participants with a solid foundation in R programming language. Through this course, learners will understand the fundamentals of R, including variables, data types, and operators. They will explore essential programming concepts like loops and conditionals, and gain proficiency in working with data structures such as vectors, matrices, and data frames. Participants will learn how to manipulate and transform data, create visualizations, and apply statistical analysis techniques using R. By the end of the course, learners will have developed basic programming skills, a deep understanding of R's capabilities, and the ability to tackle data analysis tasks with confidence.

What Will You Learn

Upon completion of the course, participants will have developed a strong grasp of R programming, enabling them to proficiently handle data manipulation, perform basic statistical analysis, and create impactful data visualizations. Equipped with these skills, participants will be well-prepared to embark on a career in data analysis or data science, using R as their primary tool. This course serves as a fundamental stepping stone, providing participants with the essential knowledge and abilities needed to succeed in the field.

Skills you will gain

R Programming

Data Manipulation

Statistical Analysis

Data Visualization

Problem-Solving

Data Cleaning

Data Exploration

Data Wrangling

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Prepare for your career path

Use R programming skills to analyze and interpret data, identify trends, and provide insights for decision-making.Assist in conducting research studies, collecting and analyzing data using R programming, and contributing to research findings.

Key Skills to Learn

Statistical Analysis Skills. Machine Learning Concepts and Methods. Text Representation Techniques. Algorithm Analysis Skills. Computer Programming Languages like Python and R, Java. Strong Problem-Solving skills. Good Communication Skills. Text Clustering Skills.

Apply R programming skills in data preprocessing, feature engineering, machine learning, and predictive modeling to extract insights and develop data-driven solutions.

Key Skills to Learn

Jobs in India

3 Lakhs

Average Salary

3.5 Lakhs

Job Growth

31%

Companies Looking For Software Developer

and many more

Curriculum

Module 1 : Introduction to R Programming

Module 2 : Basics of R Programming

Module 3 : Data Types and Data Structure in R

Module 4 : File Handling in R

Module 5 : Data Manipulation in R

Module 6 : Data Visualization Capstone Project

Module 7 : Capstone Project in R

Module 8 : Introduction to Machine Learning

Module 9 : Machine Learning Algorithms

Module 10 : Machine Learning Model Capstone Project-2

Instructor

Priyanka Sharma

Trainer (Subject Expert ) Future Skill Academy

AI , ML , Data science , Power BI, Python , R

Presently she is working as a IT Trainer (Subject Expert )at Future Skill Academy, AISECT, Bhopal. She is having over 4 years of Industry Experience. She has previously worked with companies like Scry Analytics, Byju's, and Edureka. Developed Learning content for YouTube, and Udemy. Hosted Europe Big Data International Conference on Machine Learning and recent developments in the field of Big Data

4.9 562 856 Learners

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