admissions@datatrained.com
+91 95600 84091
Register Now for Free

Applied Data Science with R in
collaboration with IBM

Apply Now
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
Enroll Now

About the Program

  • R for Data Science

  • SQL and Relational Databases

  • Data Using R with databases

  • Data Visualization with R

Download Syllabus

Prerequisite

This course is for complete beginners and doesn’t need any prerequisites or programming knowledge or experience.

1. Tell me something about this program?
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.
This course is for complete beginners and doesn’t need any prerequisites or programming knowledge or experience.

Programming Languages and Tools Covered

Instructors

Learn from India’s leading Software Engineering faculty and Industry leaders
Dr. Deepika Sharma
Training Head, Datatrained
Research Scientist with a PhD in computer science and 10+ years of hands-on experience.
Hima Vasudevan
Business Analyst, IBM
Hima Vasudevan is a Data Scientist based out of the Chicago office. She is part of the Emerging Technologies team and focuses on developing course content.
Rav Ahuja
Senior Manager, IBM
Rav Ahuja is a Senior Manager with IBM Canada Lab specializing in AI, Data Science and Big Data analytics. He is part of the Emerging Technologies team and is involved in incubating solutions for Data Scientists and Analytics Professionals.
Raul F. Chong
Senior Program Manager, IBM
Raul F. Chong is a Senior Program Manager based at the IBM Toronto Laboratory. Raul joined IBM in 1997 and has held numerous positions in the company. Raul has taught many DB2 workshops, has published numerous articles, and has contributed to the DB2 Certification exam tutorials.
Grant Hutchison
Senior Engineer, IBM
Grant Hutchison had worked with IBM for 18 years as Senior Engineer and Manager at IBM Canada (1991-2009). He held various roles including: Software Development, Support, Quality Assurance, Marketing, Sales, Training, and Product Management.

Learning Path

1
Course 1: R for Data Science

R is actually an effective language for data analysis, data visualization, machine learning, stats. Initially created for statistical programming, it's currently one of the most favored languages in data science.
Read More

With this program, you will be to learn about the fundamentals of R, and you will end with the confidence to begin writing your very own R scripts. But this is not your normal textbook launch to R. You are not only understanding about R fundamentals, but you will also be using R to resolve problems related to films data. A concrete case can make learning painless. You are going to learn about the basic principles of R syntax, which includes assigning variables and doing small activities with R's most crucial details structures -- vectors! From vectors, you will then learn about data frames, arrays, matrix, and lists. After that, you will leap into conditional statements, functions, debugging and classes. As soon as you have covered the fundamentals - you will find out about reading and writing data in R, whether it is a table format(CSV, Excel) or maybe a text file (.txt). Lastly, you will end with a few crucial functions for character strings as well as dates in R.

Course Content
Module 1 - R basics

. Math, Variables, and Strings
. Vectors and Factors
. Vector operations

Module 2 - Data structures in R

. Arrays & Matrices
. Lists
. Dataframes

Module 3 - R programming fundamentals

. Conditions and loops
. Functions in R
. Objects and Classes
. Debugging

Module 4 - Working with data in R

. Reading CSV and Excel Files
. Reading text files
. Writing and saving data objects to file in R

Module 5 - Strings and Dates in R
. String operations in R
. Regular Expressions
. Dates in R
Course 2: SQL and Relational Databases

Data is among the most crucial assets of a company. Data must have a database to store and procedure information quickly. SQL is actually a language for a database to query information.
Read More

In this introductory program, you will master the fundamentals of the SQL language and also relational databases. You will start by understanding the relational style as well as relational model principles and constraints. By the end of this particular program, you'll have mastered and used the 5 fundamental SQL statements, several innovative SQL syntaxes, as well as join statements. This is not your normal textbook introduction. You are not only learning through lectures. At the conclusion of each module, you will find assignments, hands-on exercises, review concerns, and additionally a final examination. Successfully completing this program earns you a certificate. Why don't we get started!

Course Content
Module 1 -SQL and Relational Databases 101

. Introduction to SQL and Relational Databases
. Information and Data Models
. Types of Relationships
. Mapping Entities to Tables
. Relational Model Concepts

Module 2 - Relational Model Constraints and Data Objects

. Relational Model Constraints Introduction
. Relational Model Constraints Advanced

Module 3 - Data Definition Language (DDL) and Data Manipulation Language (DML)
. CREATE TABLE statement
. INSERT statement
. SELECT statement
. UPDATE and DELETE statements

Module 4 - Advanced SQL

. String Patterns, Ranges, and Sets
. Sorting Result Sets
. Grouping Result Sets

Module 5 - Working with multiple tables

. Join Overview
. Inner Join
. Left Outer Join
. Right Outer Join
. Full Join
2
3
Course 3: Using R with Databases

It is going to introduce you to the profits of utilizing R with databases. Teach you exactly how to link directories from R. Teach you exactly how to make database items, populate the data source, as well as issue SQL queries to access and alter the data of yours from R. The program will even delve into complex subjects of using saved methods and utilizing in-database analytics with R

Course Content
. Module 1 - R and Relational Databases

. Module 2 - Connecting to Relational Databases using RJDBC and RODBC

. Module 3 - Database Design and Querying Data

. Module 4 - Modifying Data and Using Stored Procedures

. Module 5 - In-Database Analytics with R
Course 4: Data Visualization with R
Module 1 - Basic Visualization Tools

.  Bar Charts
.  Histograms
. Pie Charts

Module 2 - Basic Visualization Tools Continued

. Scatter Plots
. Line Plots and Regression

Module 3 - Specialized Visualization Tools

.  Word Clouds
.  Radar Charts
.  Waffle Charts
.  Box Plots

Module 4 - How to create Maps

. Creating Maps in R

Module 5 - How to build interactive web pages

.  Introduction to Shiny
.  Creating and Customizing Shiny Apps
.  Additional Shiny Features

Applied Data Science 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

By clicking Start Application, you agree to our terms and conditions and our privacy policy.

Career Impact

Over 500 Careers Transformed
Aruni Khare

Data Scientist, RBS

Datatrained has helped me with the vital knowledge and skills that are needed for a data scientist role. The trainer starts with an example to make us comprehend the concept and then help us build the algorithms with the real industry datasets.

Rakshit Jain

Data Scientist, Optum

I saw an ad from Datatrained on facebook and I contacted them straight away and inquired about their Data Science online course. Their counselor took me through the complete journey of what they offer and what is data science all about. After continuous conversation for a few weeks, I was pretty sure about the course and now I knew where I need to invest my money and hard work.

Rupam Kumar Chaurasia

Head Sales, Glenmark

The program is a well-balanced mix of pre-recorded classes, live sessions on weekends and printed reading materials they sent to my address. My mentor was Amit Kaushik and he helped me in getting that confidence and completing my assignments on time.I have almost completed the course and have been able to crack Glenmark interview.Thank you so much Datatrained.

Vanshika Rathi

Data Analyst, Ola

Once I Joined Datatrained my learning curve started to grow steeply and as per the mentors I followed the new approach to get Data Science job.If I am successfully placed with one of the biggest data science firm complete credit lies with Datatrained and their competent Faculty.

Surbhi Jain

Sr. Data Specialist, Bank of America

I did my research before deciding which course I should register myself for and of all the courses that I have found, the one offered by Datatrained was completely dedicated to analytics, after enrolling for Postgraduate Program for Data Science, I realized Datatrained Data Science course was ideal for me.

Saurabh Chauhan

Data Analyst, KPMG India

All faculty members in Datatrained are well known and they are available round the clock to discuss any course related query.After completing my course I was so confident and cracked my first Interview with Amazon and I have completed a successful 1 year with them. Big thanks to Datatrained to help me in selecting a perfect job for me.

Average Salary Hike
Highest Salary
Jobs Sourced
Hiring Partners

Frequently Ask Questions

Will I get a certificate for this training?
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

Call or Whatsapp us at +91 95600 84091
Email us for Enrolment Queries at admissions@datatrained.com
Email us for Payment and Other Queries at support@datatrained.com