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R Programming for Data Analytics Course

Enhance your data analytics skills with our R Programming course, designed to leverage R’s powerful statistical and data analysis capabilities. This program will teach you how to manipulate data, perform complex analyses, and visualize results effectively.
  • Accredited by Swayam, Approved by the Government of India
  • Get Trained by Experts from ISB, IIT & IIM
  • 15+ Hours of Self-Paced Recorded Videos
  • Earn a Certificate from 360DigiTMG
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The global demand for data analytics is rapidly growing, with R leading the field due to its robust statistical capabilities and data handling power. R enables users to perform in-depth data analysis, develop predictive models, and generate insightful visualizations. With its extensive libraries and packages, R supports various data analytics needs, including statistical analysis, machine learning, and data visualization.

R Programming for Data Analytics Course

Program Cost

INR 4,000 0/-

R Programming for Data Analytics Course Overview

The R Programming for Data Analytics course provides a comprehensive introduction to R, a leading tool for data analysis. This course covers the fundamentals of R programming, including data structures and essential syntax. You'll learn to perform data manipulation and cleaning using packages like dplyr and tidyr, and apply statistical methods and predictive analytics techniques.

 

Advanced visualization skills will be developed using ggplot2, enabling you to create insightful, professional-grade charts and graphs. The course also delves into data mining and exploratory data analysis, teaching you to uncover trends and patterns within datasets.

 

Additionally, you'll gain experience in developing predictive models, performing hypothesis testing, and integrating R with other tools and platforms for a holistic data analysis approach. Ideal for beginners and experienced analysts alike, this course equips you with the skills needed to excel in the data analytics field and leverage R’s powerful capabilities.

R Programming Course Learning Outcomes

Upon completing this R Programming course, you'll gain proficiency in R fundamentals and data structures, enabling efficient data management. You'll be skilled in data manipulation and cleaning with dplyr and tidyr, apply statistical and predictive analytics methods, and create detailed visualizations using ggplot2. The course also covers data mining, exploratory data analysis, and predictive modeling, along with integrating R with other tools and platforms for a comprehensive approach to data analysis.

Understanding R Programming fundamentals and data structures.
Performing data manipulation and cleaning with dplyr and tidyr.
Applying statistical methods and predictive analytics techniques.
Creating advanced visualizations using ggplot2.
Implementing data mining and exploratory data analysis.
Developing predictive models and performing hypothesis testing.
Integrating R with other tools and platforms for comprehensive data analysis.
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Core Python Course in India - 360digitmg

15+ hours

Self-Paced Sessions

Who Should Sign Up?
  • Math, Science and Commerce graduates
  • Mid-level executives with no programming knowledge
  • Managers with basic programming knowledge
  • Anyone with interest in coding
  • Students aspiring to become adroit programmers

Training Modules of R Programming for Data Analytics Course

Python is a flexible, powerful object-oriented, and an interpreted language with a wide range of applications that includes Data Science, Data Analytics, Big Data, and also developing various games and web applications. These modules of Python’ will expand your concepts and introduce you to tools that will enhance your Python palette. The course kicks off by providing an introductory overview of Python programming, including the installation of Python and associated packages. The course progresses by delving into crucial Python concepts, encompassing a range of fundamental topics such as data types, data structures, tuples, lists, basic operators, functions, graphical user interfaces (GUIs), regular expressions, conditional statements, and networking. The modules are designed to offer a well-rounded exploration, ensuring a thorough comprehension of Python programming. The curriculum also offers a comprehensive exploration of database programming and connectivity to diverse data sources, coupled with an extensive examination of the Django Framework.

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R Programming for Data Analytics Course Certification

Certificate

Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The R Programming for Data Analytics Certificate is your passport to an accelerated career path.

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FAQs

The course covers R programming fundamentals, data manipulation, statistical analysis, predictive modeling, and data visualization. It includes hands-on training with libraries like dplyr, tidyr, and ggplot2, and integrates R with other tools.

The course is designed for all skill levels, from beginners to experienced analysts, aiming to enhance their data analytics skills and gain practical experience with R’s advanced tools and techniques.

You will learn to manipulate data, perform statistical analysis, create advanced visualizations, and develop predictive models using R. Skills include data cleaning, exploratory data analysis, and hypothesis testing.

The course is taught by experts from ISB, IIT, and IIM, offering high-quality training from professionals with extensive experience in data analytics and R programming.

Yes, the course is accredited by Swayam and approved by the Government of India, ensuring recognized and credible training in data analytics with R.

TThe course includes over 15 hours of self-paced recorded videos, allowing you to learn at your own pace and on your schedule.

Upon completion, you’ll earn a certificate from 360DigiTMG, validating your R programming skills and enhancing your professional credentials.

R provides powerful statistical and data analysis tools, enabling users to perform complex analyses, develop predictive models, and visualize data effectively, facilitating informed decision-making.

You will learn to use R libraries and packages like dplyr, tidyr, ggplot2, and others for data manipulation, statistical analysis, and visualization.

The demand is driven by the need for advanced data analytics capabilities. R’s robust statistical tools and visualization features are essential for analyzing complex datasets and generating actionable insights.

Jobs for Python professionals

Jobs for Python professionals

Python programming has gone mainstream and presents several avenues to meaningful work. So, if you are skilled in Python you can become a Developer, Product Manager, Data Analyst, Financial Advisor, etc.

Salary of a Data Scientist

Salaries for Python professionals

With each passing year, Python has taken the world of programming by storm. The average salary of a Python developer in the field of Data Science is Rs 618,413 and as a web developer, the average salary comes to Rs 409,101.

Projects in Python

Projects in Python

The best way to understand the code is to work on projects to test your application. The various projects one can work on include creating and training machine learning models with TensorFlow and for data analysis and data mining purposes using Scikit-learn.

Role of Open Source Tools in python

Open Source tools in Python

Some of the most widely used Python tools by coders and developers include Scikit-Learn, Keras, SciPy, and Theano and some of the automation testing tools include Selenium, TestComplete, and Robot Framework.

Modes of training for Core Python

Modes of training for Core Python

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industrial application of Python

Industrial application of Python

Python is used across various applications that involve predictive maintenance and automation tasks. It is also used for Console-based applications that run from the command-line or shell. Frameworks like PyTorch and TensorFlow also use Python.

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