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Data Science For Professionals




Data Science Online Courses


All Job Seekers


Both Classroom and Online Classes


Week Days and Week Ends

Duration :

Daily 2 hrs during Weekdays

Data Science Objectives

•How to create a Data Science Project.
•Master Data Science concepts from the ground up
•Learn To Create Data Science Programs The Easy Way
•How to handle Data Science script and code in apps.
•From A-Z: The Complete Beginners-Advanced Masterclass – Learn Data Science
•Learn to design and run complex automated workflows for Data Science
•Learn to code in Data Science from scratch with hands-on projects
•Learn Data Science – A super fun way to improve your programming skills
•Learn Data Science programming in easy steps from begining to advanced with example based training approach

data science for professionals Course Highlights

•Free Aptitude classes & Mock interviews
•25+ projects for good Learning experience
• Helps you stand out in a competitive market
•Regular Brush-up Sessions of the previous classes
•Interview guidance and preparation study materials.
•Courseware includes reference material to maximize learning.
•Affordable fee structure to help as many students strive career in IT industry
•This Instructor-led classroom course is designed with an aim to build theoretical knowledge supplemented by ample hands-on lab exercises

Who are eligible for Data Science

•.net software engineer, Team Lead, Senior Soft ware engineer, Technical Architect, Program Manager, .net Developer, Biztalk Developer, others
•Front End, Javascript, Computer Graphics, Html, Css, Problem Solving, CSS, Web Technologies, Design, Software Development, Full Stack Developer
•Java/J2EE, Springs, API, REST/, MySQL, Java, Admin UI developer with HTML/JavaScript/Ember.js, Java Enterprise Integration/ESB/API Management experts with Mule
•Qa Automation, Ror Developer, Android Developer, Bluetooth Developer, Android Application Developer, Embedded Development, Javascript, Ruby, Postgres, SQL
•SQL Developer, Oracle Developer, Tibco, Datawarehousing, Automation Testing, Websphere Admin, Weblogic Support, Python, Netezza, Actuate, Hadoop


Course Goals and the Data Science Process
•Why Use R?
•A Quick Overview of the R Language
•Downloading and Installing R
•RStudio and Project Setup
•R Essentials – Data Objects
•Vectors – Part 1
•Getting Help with R
•Vectors – Part 2
•Vectors – Part 3
•Vectors – Part 4
•Data Frames
•Data Object Recap
•R Essentials – Functions and Loops
•Loops and IF Statements
•Custom Functions
•R Essentials – Putting it all Together!
•The Challenge
•The Solution
•Data Gymnastics
•Tidy Data
•Tidying our Data with tidyr
•Data Manipulation with dplyr – Part 1
•Data Manipulation with dplyr – Part 2
•Data Manipulation with dplyr – Part 3
•Data Visualization
•Making Graphics Easy with ggplot2 – Part 1
•Making Graphics Easy with ggplot2 – Part 2
•Modelling and Machine Learning
•What is Machine Learning?
•Training and Testing
•Inference Trees and Random Forests
•Conclusion to the HR Attrition Problem
•Advanced Reporting with R
•RMarkdown and Git Version Control
•Shiny Web Apps
•Keep in Touch!
•Thanks for purchasing!