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Applied Data Science with R in collaboration with IBM

  1. 4.5
  2. (535 ratings)
  • 300+ Learners
  • English

Applied Data Science with R in collaboration with IBM

  1. 14999
    • Best online HR Management course
    • Best online HR Management course
    • Best online HR Management course
    • Best online HR Management course
    300+ Learners
  • 100+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • Skill level

What you'll learn

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.

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

Programming Languages and Tools Covered

Learning Path

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.

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 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 2 - Data structures in R
  • Arrays & Matrices
  • Lists
  • Dataframes
Module 5 - Strings and Dates in R
  • String operations in R
  • Regular Expressions
  • Dates in R

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.

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 3 - Data Definition Language (DDL) and Data
  • Manipulation Language (DML)
  • CREATE TABLE statement
  • INSERT statement
  • SELECT statement
  • UPDATE and DELETE statements
Module 5 - Working with multiple tables
  • Join Overview
  • Inner Join
  • Left Outer Join
  • Right Outer Join
  • Full Join
Module 2 - Relational Model Constraints and Data Objects
  • Relational Model Constraints Introduction
  • Relational Model Constraints Advanced
Module 4 - Advanced SQL
  • String Patterns, Ranges, and Sets
  • Sorting Result Sets
  • Grouping Result Sets

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 3 - Database Design and Querying Data Module 5 - In-Database Analytics with R
Module 2 - Connecting to Relational Databases using RJDBC and RODBC Module 4 - Modifying Data and Using Stored Procedures
Course Content
Module 1 - Basic Visualization Tools
  • Bar Charts
  • Histograms
  • Pie Charts
Module 3 - Specialized Visualization Tools
  • Word Clouds
  • Radar Charts
  • Waffle Charts
  • Box Plots
Module 5 - How to build interactive web pages
  • Introduction to Shiny
  • Creating and Customizing Shiny Apps
  • Additional Shiny Features
Module 2 - Basic Visualization Tools Continued
  • Scatter Plots
  • Line Plots and Regression
Module 4 - How to create Maps
  • Creating Maps in R

Comprehensive Curriculum

The curriculum has been designed by faculty from IITs, IBM and Expert Industry Professionals.

100+ Hours of Content--- best institute for data science lucknow

Hours of Content

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Live Sessions

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Tools and Software

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


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

Dr. Deepika Sharma - Training Head, DataTrained
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
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
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
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.

Mahdi Noorian- Data Scientist, IBM
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.