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Home > Data Science > Machine Learning for Data Science using R

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Overview
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    Popular Career Choice
    Major investment by companies like IBM and HP in big data has made it a popular career option.
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    Job Opportunities
    After the machine learning online course, you’ll be eligible to apply for the 1.9 million available jobs.
  • manipal overview icon
    Who Should Attend
    Engineers, managers, analysts, business intelligence professionals
  • manipal overview icon
    Salary Packages
    The average pay for a Data Scientist with Machine Learning skills is ₹8.7 lakhs per year.
  • manipal overview icon
    Expert Faculty
    Learn from experts with a vast experience in delivering Machine Learning lectures and training.
manipal overview icon
Popular Career Choice
Major investment by companies like IBM and HP in big data has made it a popular career option.
manipal overview icon
Job Opportunities
After the machine learning online course, you’ll be eligible to apply for the 1.9 million available jobs.
manipal overview icon
Who Should Attend
Engineers, managers, analysts, business intelligence professionals
manipal overview icon
Salary Packages
The average pay for a Data Scientist with Machine Learning skills is ₹8.7 lakhs per year.
manipal overview icon
Expert Faculty
Learn from experts with a vast experience in delivering Machine Learning lectures and training.
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Course Curriculum
1.1 Introduction to Machine Learning and Data Science
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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
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Decision Trees
KNN - ‘K’ Nearest Neighbors
Applications
Build Classification based machine learning models using algorithms Decision Trees & k-NN.

2.1 Evaluation and Measurement
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Introduction
Goodness Measures
ROC Curves
Derive the accuracy of the machine learning model using Goodness Measures & ROC

2.2 Clustering
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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
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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
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SVM
Neural Networks

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Frequent Questions we get
Why should I take up a Manipal ProLearn course?
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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?
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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.?
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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?
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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?
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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?
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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?
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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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