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Machine Learning for Data Science using R

Master the essentials of Machine Learning and derive insights from predictive models using R through our Machine Learning online course.

25+
Hours
430
Learners
24x7
Online LMS
Online
Quizzes

25+
Hours

430
Learners

24x7
Online LMS

Online
Quizzes

Knowledge
Partner

₹ 13,200

Ask us everything about the program

Machine Learning for Data Science using R

Overview

Popular Career Choice

Major investment by companies like IBM and HP in big data has made it a popular career option.
Job Opportunities

After the machine learning online course, you’ll be eligible to apply for the 1.9 million available jobs.
Who Should Attend

Engineers, managers, analysts, business intelligence professionals
Salary Packages

The average pay for a Data Scientist with Machine Learning skills is ₹8.7 lakhs per year.
Expert Faculty

Learn from experts with a vast experience in delivering Machine Learning lectures and training.

Popular Career Choice

Major investment by companies like IBM and HP in big data has made it a popular career option.

Job Opportunities

After the machine learning online course, you’ll be eligible to apply for the 1.9 million available jobs.

Who Should Attend

Engineers, managers, analysts, business intelligence professionals

Salary Packages

The average pay for a Data Scientist with Machine Learning skills is ₹8.7 lakhs per year.

Expert Faculty

Learn from experts with a vast experience in delivering Machine Learning lectures and training.

About Course

Are you looking to build a career in the exciting field of data analysis and Machine Learning? Machine Learning is the science of using computers to run predictive models that learn from existing data in order to forecast future behaviours, outcomes, and trends. It is an in-demand skill for all major organizations and a must-have for all aspiring data scientists and engineers.

Manipal ProLearn’s course in Machine Learning for Data Science using R will provide you with a broad understanding of Machine Learning. The course will help you to gain experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval.

What skills you learn

After completing the Machine Learning training course, you’ll be considered as a strong and competent data scientist. The course will help you to:

Identify the right machine learning approach (supervised/unsupervised).
Identify whether it’s a classification or regression based problem
Get the relevant algorithm and build a machine learning model
Derive the accuracy of the machine learning model using Goodness Measures & ROC
Use Clustering methods to model unstructured data
Identify a domain (customer analytics) and apply the relevant concepts taught.

Who Should Attend this course

Engineers and non-engineers interested in Machine Learning

Managers and analysts interested in understanding technical aspects of Machine Learning

Business Intelligence professionals entering data analytics projects

Data Science aspirants

Engineers and non-engineers interested in Machine Learning	Managers and analysts interested in understanding technical aspects of Machine Learning
Business Intelligence professionals entering data analytics projects	Data Science aspirants

Key Features

In Collaboration with Gramener

The course is designed in collaboration with the industry leader in Data Science - Gramener.

Experiential Learning Model

The comprehensive curriculum of our Machine Learning online course is taught through videos, reading material, projects, and assignment

Hands-on Assignments

Gain an effective understanding and retention of the knowledge through self-assessment quizzes and assignment at the end of each module.

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Course Curriculum

1.1 Introduction to Machine Learning and Data Science

Introduction to Machine Learning
Broad classification – Supervised vs Unsupervised Learning
Use cases, Opportunities and Challenges
Machine Learning -definition, learning approaches supervised & unsupervised, use cases, challenges and opportunities.

1.2 Classification

Decision Trees
KNN - ‘K’ Nearest Neighbors
Applications
Build Classification based machine learning models using algorithms Decision Trees & k-NN.

2.1 Evaluation and Measurement

Introduction
Goodness Measures
ROC Curves
Derive the accuracy of the machine learning model using Goodness Measures & ROC

2.2 Clustering

Introduction
K-means
Practical Issues in Clustering
Applications
Develop models from unstructured data using clustering techniques and understand it’s limitation

3.1 Customer Analytics

Introduction
Customer Life Cycle and Customer Behavior
Understand the concepts of customer lifecycle & behaviour which aids in building better customer analytics based ML models

3.2 Contemporary Topics - An Insight

SVM
Neural Networks

Frequent Questions we get

Why should I take up a Manipal ProLearn course?

Manipal ProLearn, a part of Manipal Global Education Services, offers a variety of professional certification courses across Technology, Digital Marketing, Data Sciences, Project Management, and Finance domains.

Carrying forward the Manipal legacy of over six decades in education, Manipal ProLearn helps working professionals and students to enhance their skills and fast-track their careers. Manipal ProLearn has partnered with industry leaders like Google, Microsoft, AWS Educate, EY, Sandbox, and Chartered Institute of Management Accountants (CIMA) to provide quality courses that add to your skill set.

We have redefined learning in the professional certification program space with a wide range of course options taught by expert faculty on an award-winning learning platform. Benchmarked against global certification standards of PMI, CIMA, PMBOK etc., our course content is designed and developed by industry experts. Not only are these certification courses good for skill enhancement, but with industry-recognised certification, they are also a great value-add to one's resume. Over the last two years, more than 80,000 learners have advanced their careers with the help of our courses

Do I have to clear any entrance (screening) test before taking up the course?

Currently, none of the courses has an entrance test. But some certifications might have their prerequisites, which are mentioned on the respective course pages.

What type of support can I expect in terms of course material, assessment, evaluation, feedback, discussion forums, mentoring etc.?

Once you have enrolled in a course, you will receive a welcome e-mail and a telephonic call from our customer support team. The features offered as part of the course will be explained clearly by our representative and also will also be listed in the mail correspondence.

Besides, our Customer Support team is available between 8 AM to 8 PM every day to help students on any course related issues.

Will I be able to access the course material post-completion too?

The course material access will be active till the validity of your course which is 12 months from the date of your enrolment.

How will successful completion of the course improve my job prospects?

Manipal ProLearn gives learners an edge when it comes to employment opportunities. By partnering with industry leaders to provide quality courses, we add to your individual skill set and make you industry ready. Also, the constantly expanding list of top-end knowledge partners ensures that learners are exposed to the latest developments and trends across sectors.

What should I do if I face any issues?

In case you come across any issue, please write to us at support@manipalprolearn.com and we will be happy to assist you.

Do you have a refund policy if I am not satisfied with the course and want to withdraw? Is there a timeframe for the same?

All refund requests received by Manipal ProLearn are processed through the same gateway within 14 working days of receiving the request. For any exceptional cases where you have not received the refund amount, please write to us at support@manipalprolearn.com. We shall get back to you with an update on your refund request or valid reasons in case of rejections.

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