Data Science with R Kannada

by

Guvi

Learn the skill of the decade that’s been gaining tremendous popularity every day, i.e., data science, and how to implement it using the widely used, and robust statistical programming language R in Kannada with this certification course by GUVI.

₹ 999.00

₹ 2000.00

50.05% Discount

#1

See all ranking

Data Science with R Kannada

by

Guvi

₹ 999.00

₹ 2000.00

50.05% Discount

#1

See all ranking

2 Modules

with Certifications

10+ Hours

of Recorded Content

4.5 Rated

by 2014 Learners

Kannada

Language

2 Modules

with Certifications

10 + Hours

of Recorded Content

4.5 Rated

by 2014Learners

Read all Reviews

Kannada

Language

About

Key Features

Content

FAQs

What's in it for You?

Master all the fundamental concepts of data science using R and learn how to gather, transform, manipulate, analyze, and visualize vast amounts of raw data in this R programming for a data science course in Kannada. In this course, you will learn how to use R and various other data tools in order to effectively analyze data from multiple different sources, clean transform data, perform data visualization, analyze data, and be able to draw meaningful insights from it. After this course, you will also be able to implement various machine-learning techniques and gain a globally recognized certificate indicating your job readiness.

Key Features:

Globally Recognised Certification

100% online and Self-paced learning

Full lifetime access to all content

Access to 4 Gamified Practise Platforms

Dedicated Forum Support to clear all your doubts

7 Days refund Policy

Topics you will learn

Beginner Module
- - Basics of Data science
- - Introduction to Big data
- - Application of Big data Analytics
- - Introduction to R
- - In-Built functions in R
- - Basics of Statistics
- - Hypohesis Testing
- - Statistical tests_Lesson_2
- - Some more inbuilt functions in R_Lesson8
- - Statistical operations in R_Lesson_7
- - Plotting in R_Lesson_1
- - Basics of Machine learning_Lesson_1
- - simple linear regression theory_Lesson6
- - Simple linear regression in R_Lesson5
- - Multiple linear regression theory_Lesson 2
- - Multiple linear regression in R_Lesson 4
Intermediate Module
- - Logistic regression_Lesson 5
- - Metrics in logistic regression_Lesson 7
- - Logistic regression metrics in R_Lesson 8
- - Logistic regression model in R_Lesson 3
- - Decision tree_Lesson_4
- - CHAID_Lesson_6
- - Random Forest_Lesson_1
- - Random forest in R_Lesson_9
- - Introduction to Clustering_Lesson_1
- - Introduction to K-Means clustering_Lesson_6
- - K-Means in R_Lesson_1

Course Offerings

Certificate you will get

IITM Pravartak certified Python certification.

Certificates are globally recognized & they upgrade your programming profile.

Certificates are generated after the completion of course.

After this Course

Understand and implement data science fundamentals using R.

Write and implement code in the R programming language.

Learn about various statistical distributions and their importance.

Perform data analysis with data from multiple sources and formats in R.

Be able to visualize data and draw meaningful insights from it.

Work with various machine learning techniques such as supervised and unsupervised learning.

Pre Requsites

Basic knowledge of data science and coding with R.

Knowledge of a few statistical techniques is a huge plus.

Course is for

Freshers

Professionals

Students

FAQ's

What is data science with R?

R is an open-source programming language that is mainly used for statistical modeling and as a data analysis tool. In data science, R programming is used to handle, store and analyze data to extract meaningful information from it. That information helps make business-critical decisions for all kinds of organizations.
Why learn Data Science using R in Kannada?

R is an advanced programming language that is used to perform complex statistical modeling, it consists of various packages as well as libraries that provide interactive graphics making the visualization, analysis, and representation of data easy. It also provides support for operations on matrices, arrays, and vectors. Hence, it is the primary choice of data scientists as it has static graphics capable of generating high-quality data visualizations.
What is Data Science used for?

Data rules the tech world today. And Data Science is used to extract meaningful information from large amounts of data using various techniques such as artificial intelligence and machine learning among others. This extracted information is used vigorously to make business-critical decisions in organizations. Thus, due to its immense importance, it is used in various industries like finance, transport, e-commerce, education, manufacturing, etc.
Why is Data Science so popular?

The field of data science has become so popular because it enables organizations to efficiently process and interpret data from multiple sources and draw valuable insights from it. These insights are used to make informed business decisions, predict trends, drive growth, and push performance. Hence, as more companies started to deal with Big Data, they realized they required professionals that could efficiently combine analytics, experimentation, and programming skills, increasing the demand for data scientists.
Who can learn Data Science?

Anybody interested in data and wishing to work with it can take up Data Science. You need to be prepared to work hard at mastering the basics and implementing them via various projects. People from all sorts of backgrounds be it a coding or non-coding background can opt to learn Data Science and can excel at it given that they use the right approach.