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DevOps is the union of people, process, and products to enable continuous delivery of value to your end users.


Azure DevOps is a set of services that gives you the tools you need to do just that. With Azure DevOps, you can build, test, and deploy any application, either to the cloud or on premises. DevOps practices that enable transparency, cooperation, continuous delivery and continuous deployment become embedded in your software development lifecycle.



About The Course

  • In this learning path, you will get started on your DevOps journey. You will:

  • See how value stream maps can help you evaluate your current processes and technologies

  • Sign up for your free Azure DevOps organization

  • Learn how to plan and track work items using Azure Boards

  • Optimize sprint workloads across multiple Agile teams

Program Overview


  • Accelerate your career in one of the hottest fields – Devops

Program Structure and Format


Program Structure

  • The Data Science Certification program is comprised of 10 courses and a final capstone project.  

  • Recorded videos in every course, and can be completed at self pace and practice questions to make sure topic is understood well.

  • Interactive live lectures and query solving sessions  by eminent faculties and industry specialists in Data Science.

  • The MPP Data Science Certificate will be awarded when you achieve a 70% pass rate and obtain a verified certificate for the 10 courses.

  • Guided lab sessions with instructors for hands on practice on various platforms covered in the program.

Program Details

Program Details: 10 courses + Final Project

Effort: 16 - 32 hours per course

The student needs to complete all the 10 courses along with the labs, assessments and Capstone project ,  to be eligible for MPP Certificate.

Skills Required:

Though, there is no particular prerequisite to learn Data Science, you will be able to do very well, if you have these basic skills:

  • Basic Programming Knowledge

  • Good command in Maths and Statistics

  • Business Knowledge

  • Data Visualisation skills

  • Good communication skills.  

Who Can Learn:

  • Any professional from Business Analytics/ Business Intelligence background.               

  • Engineering or Non-Engineering aspirants wanting to become a Data Scientist.

  • Managers from Analytics background and those who are leading a team of Analysts .

  • Any Data Analyst or Software Developer aspiring to be a Data Scientist.

  • Professionals wanting to build machine learning models, using distributed storage and distributed processing.

Admission Process

  • Fill up the application form

  • You will receive a call for eligibility screening

  • Final Application form

Program Fees:

  • Zero EMI Option

  • Credit, Debit Card and Net Banking

Learning Outcome:

  • Earn  a certificate  in data science which opens the door to countless career opportunities .

  • Become an expert in software development, predictive analytics, database systems, and statistics.

  • Apply data science techniques to your organization’s data management challenges.

  • Identify and avoid common difficulties  in big data analytics and simplify analytical models to make better business decisions

  • Understand the challenges associated with scaling big data algorithms and convert datasets to models through predictive analytics.

Career Paths

Data Scientist:

  • as data scientist you are specialized in Retrieving, mining and statistically analysing large chunk of data

  • understand the challenges of a business and offer the best solutions using data analysis and data processing.

  • perform predictive analysis and run a fine-toothed comb through an “unstructured/disorganized” data to extract actionable insights

  • identify trends and patterns that can help the companies in making decisions, that would otherwise be difficult to make.

Data Analyst:

  • perform analysis on data using various mathematical calculations

  • perform variety of tasks like visualization, munging, and processing of massive amounts of data.

  • analyse databases by performing queries on the databases from time to time.

  •  The most important skills of a data analyst is optimization.

  • create and modify algorithms that can be used to pull information from very large databases without affecting and corrupting the data.

Job Titles

The popular job titles for in the field of Data Analysis and  Data Science:

  • Data Architect:

  • Data Engineers:

  • Database Administrator:

  • Business Analyst:

  • Data and Analytics Manager:


  • The evaluation of the program is based on completion of assessments in each course as well as the Capstone Project.



Each module contains  graded assignments. you have to  complete the assessments and labs available

  • Some courses contains lab assignments without due dates. You can progress through the course at your own speed.

  • Assess your progress with grade/score of each assignment that contributes to the overall grade.

  • The overall passing percentage for each course is 70%, including the lab assessments.

  • The student has to pass in all courses to be eligible for the MPP Certificate.


Capstone Project

  • Microsoft Professional Capstone : Data Science

  • You get opportunity to Showcase your data science knowledge and skills, and solve a real-world data science problem by doing the  Microsoft Professional Capstone : Data Science

  • The project takes the form of a challenge in which you will explore a dataset and develop a machine learning solution that is tested and scored to determine your grade.

Career Assistance

  • Our career support team will counsel you on the right career path and also help you prepare for the role of your interest

  • Get specific inputs on updating your resume structure, content and receive personalised feedback to improve on it

  • interview readiness session to help you to prepare for interviews

  • We conduct 1-1 mock interviews based on the role you wish to apply for and provide you with feedback.

Note: We don’t provide any 100% Job Guarantee

Career Assistance


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