Machine learning with R in
collaboration with IBM

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Industry Experts From

Universally Recognized Certificates

From IBM and DataTrained

Capstone and Real Life Projects

Access to 15 real life projects and a capstone project

Analytics Jobs Placement Assistance

Access to analyticsjobs.in curated jobs

Access to in-demand Tools

IBM Watson labs and $1200 equivalent Cloud Credits

₹9,999 ($175)

for self-paced

₹14,999 ($250)

for self-paced and live sessions blended mode

About the Program

  • Machine Learning vs Statistical Modeling Supervised vs Unsupervised Learning

  • Supervised Learning I

  • Supervised Learning II

  • Unsupervised Learning

  • Dimensionality Reduction Collaborative Filtering

Download Syllabus

Prerequisite

You should go through Applied Data Science with R.

IBM is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries. IBM is one of the world's largest employers, with over 350,000 employees, known as "IBMers". At least 70% of IBMers are based outside the United States, and the country with the largest number of IBMers is India. IBM employees have been awarded five Nobel Prizes, six Turing Awards, ten National Medals of Technology (USA) and five National Medals of Science (USA).

This collaboration between IBM and DataTrained provide our student's hands-on experience in predictive analytics and advanced computing.

Expectations for this program co-developed with IBM:

1. Industry-recognized certificate from IBM and DataTrained.
2. IBM Cloud Credits for 6 months equivalent to $1200.
3. IBM Cloud Platforms access like IBM Watson for hands-on practice.
You will learn to make use of the R language to access databases, clean, analyze, and visualize data with R. Through our guided lectures and access to labs, you will get hands-on experience tackling fascinating data issues. This's an action-packed learning path for data science enthusiasts who wish to work on real-life problems with R.
You should go through Applied Data Science with R.

Programming Languages and Tools Covered

Instructors

Learn from India’s leading Software Engineering faculty and Industry leaders

Learning Path

1
Course 1: Machine Learning vs Statistical Modeling Supervised vs Unsupervised Learning

This Machine Learning with R program dives into the fundamentals of machine learning utilizing an approachable, and popular, programming language.
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You will find out Supervised vs Unsupervised Learning, check into just how Statistical Modeling pertains to Machine Learning, and also perform their comparison.

Look at real-life instances of Machine learning and just how it impacts society in ways you might not have guessed!

Explore a lot of algorithms and models:

. Popular algorithms: Dimensional, Clustering, Regression, and Classification Reduction.

. Popular models: Train/Test Split, Root Mean Squared Error, as well as Random Forests.

Get ready to do a lot more learning than the machine of yours!

Machine Learning Languages, Types, and Examples
Machine Learning vs Statistical Modelling
Supervised vs Unsupervised Learning
Supervised Learning Classification
Unsupervised Learning

Course 2: Supervised Learning I

K-Nearest Neighbors
Decision Trees
Random Forests
Reliability of Random Forests
Advantages Disadvantages of Decision Trees
2

3
Course 3 - Supervised Learning II
Regression Algorithms
Model Evaluation
Model Evaluation: Overfitting Underfitting
Understanding Different Evaluation Models

Course 4: Unsupervised Learning
K-Means Clustering plus Advantages Disadvantages
Hierarchical Clustering plus Advantages Disadvantages
Measuring the Distances Between Clusters - Single Linkage Clustering
Measuring the Distances Between Clusters - Algorithms for Hierarchy Clustering
Density-Based Clustering
4

5
Course 5: Dimensionality Reduction Collaborative Filtering

Dimensionality Reduction: Feature Extraction Selection
Collaborative Filtering Its Challenges

Machine learning with R in collaboration with IBM

Get eligible for 3 world-class certifications thus adding that extra edge to your resume.
  • Alumni Status
  • Learning paths and certification from IBM
  • Course completion certificate from DataTrained Education
  • Project completion certificate from DataTrained Education

Admission Process

There are 3 simple steps in the Admission Process which is detailed below
Step 1: Fill in a Query Form
Fill up the Query Form and one of our counselor will call you & understand your eligibility.
Step 2: Get Shortlisted & Receive a Call
Our Admissions Committee will review your profile. Upon qualifying, an Email will be sent to you confirming your admission to the Program.
Step 3: Block your Seat & Begin the Prep Course
Block your seat with a payment of INR 10,000 to enroll into the program. Begin with your Prep course and start your Data Science journey!

Program Fee

No Cost EMI options are also available. *

What's Included in the Price

Features/Benefits
  • Industry recognized certificate from IBM
  • Access to 15 real life projects and a capstone project
  • IBM Watson labs and $1200 equivalent Cloud Credits

I’m interested in this program

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Career Impact

Over 500 Careers Transformed
Average Salary Hike
Highest Salary
Jobs Sourced
Hiring Partners

Frequently Ask Questions

Yes, you will get a certificate from DataTrained for the course completion as well as a project completion certificate from DataTrained.
There are two types of projects:

a. Practice projects: Your mentor will first do 2-3 projects for you and then you will do the next 3-4 projects wherein you will get help from your mentor and on tickets.

b. Evaluation projects: Once you’re done with the practice projects, you get access to the evaluation projects.
Data Science doesn’t need any previous technical or programming experience. We will teach you Math, Stats and programming at a very beginner level.
No, the program is designed in such a way that, you can continue with your job along with this program. It will be a mix of pre-recorded videos, live classes as well as printed study material. Every topic would be project-based and will be taught as per the live market scenario. The course module will be covered under the guidance of Industry Experts.
There are two training modes:

a. Self-paced: You will get access to DataTrained and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects as your own pace. Mentor support will be provided.

b. Blended: You will get access to DataTrained and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects as your own pace. In addition to these courses, live online classes are conducted on Saturdays and Sundays for you. Mentor support will be provided.
In case you miss a class, you need not to worry. All the live classes’ recordings will be available on your LMS. You can watch and practice the concepts at your own time.
We have partnered with analyticsjobs.in for the placement assistance for our learners who successfully completes our programs. Analytics Jobs is a leading media and job portal company specifically aimed for the jobs in Data Science, Analytics, Automation, RPA, Cloud, Block Chain and computer science.
The program fee is Rs. 9999 for self-paced and Rs. 14999 for self-paced and live sessions blended mode. For International students, the program fee is $170 plus taxes for self-paced.
For Queries and Suggestions

Call Datatrained Now

Email us for Enrolment Queries at admissions@datatrained.com
Email us for Payment and Other Queries at support@datatrained.com