Faculty Development Programs

FDP Programs in collaboration with GAD-TLC, Ministry of Education,New Delhi

GAD TLC is a Centre of MHRD under Pandit Madan Mohan Malaviya National Mission on Teachers and Teaching (PMMMNMTT). It has expertise in enhancing the Digital Skills for Professional development of Teachers as well as for employability of students in Higher Education Institutions.

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Program Overview

BATCH STARTS:

Early 2019

DURATION:

8 Months

Job Opportunities

Job opportunities with the help of a Microsoft Global Employment Manager

EFFORT:

12-30 Hours per week

(recommended)

CERTIFICATION:

Microsoft Professional Program Certificate in Big Data

FEES:

₹ 1,75,000/- (All Inclusive)

Options Available – One Time Payment, No Cost EMI

PROGRAM FORMAT:

Online + Optional Weekend Classes in Pune, Mentoring and Live Lectures

UNIQUE FEATURES:

  • Job opportunities with the help of a Microsoft Global Employment Manager

  • Industry-driven comprehensive curriculum

  • 1-1 Mentoring - Mentor as a Service.

  • 24/7 access to study material & video lectures

  • Live interactions with expert faculty

  • Real-world Projects & Case Studies

  • Big Data Capstone Project

  • Career guidance and support.

About Us

  • First  Microsoft partner in India for MPP program delivery and certification.

  • Over 2,50,000 users learning online through our different training channels.

  • The only ed-tech company in India to have presence on Mobile, TV and PC with a total reach of 50 million.

  • Offering Industry relevant 21st Century skills for employability.

Program Structure and Format

Program Structure

  • The Big Data Certification program is comprised of 9 courses and a final capstone project. 

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

  • Interactive live lectures and query solving sessions industry specialists in Big Data.

  • The MPP Big Data Certificate will be awarded when you achieve a 70% pass rate and obtain a verified certificate for all the 9 courses and successfully complete the capstone project.

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

Program Details

Program Details:  9 courses + Final Project

Effort: 12 - 30 hours per course

The student needs to complete all the 9 courses along with the labs, assessments and Capstone project, to be eligible for the MPP Certificate and our placement support services

Skills Required:

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

  • A high school level of mathematics knowledge.

  • A basic familiarity with computers and productivity software, such as Microsoft Excel.

  • A basic knowledge of programming concepts, such as variables, loops, and conditional logic.

  • Some experience working with relational databases. 

Request more information

Who Can Participate?

  • Analytics domain beginners.

  • Engineering or Non-engineering graduates who want to learn Big data.

  • Big Data analytics aspirants.

  • Current IT & Technology Professionals.

  • Current Project Leads & Managers in IT/Tech Companies.

Course Curriculum

Module 1


Introduction to Big Data

  • Introduction
  • Data Fundamentals
  • Introduction to Relational Databases
  • Introduction to NoSQL Databases
  • Introduction to Big Data Processing




Module 2


Option A . Analyzing and Visualizing Data with Power BI

  • Introduction
  • Power BI Desktop Data Transformations
  • Power BI Desktop Modelling
  • Power BI Desktop Visualization
  • Power BI Service
  • Working with Excel
  • Organization Packs, Security and Groups
  • Direct Connectivity
  • Developer API
  • Mobile App
Option B . Analyzing and Visualizing Data with Excel
  • Data Analysis in Excel
  • The Excel Data Model
  • Importing Data from a CSV File
  • Importing Data from Database
  • Importing Data From Multiple Files
  • Create a Data Table in Excel Data Model
  • Creating and Formatting Measures
  • Using Advanced DAX Functions
  • Importing Data from a Formatted Excel Report
  • Visualizing Data in Excel
  • Using Excel with Power BI
  • Power BI Mobile App




Module 3


Introduction to NoSQL Data Solutions

  • Introducing NoSQL Solutions in Azure
  • Azure Storage Tables
  • SQL API in Azure Cosmos DB
  • MongoDB
  • More NoSQL Database Solutions




Module 4


Querying Data with Transact-SQL

  • Introduction to Transact-SQL
  • Querying Tables with SELECT
  • Querying Multiple Tables with Joins
  • Using Set Operators
  • Using Functions and Aggregating Data
  • Using Subqueries and APPLY
  • Using Table Expressions
  • Grouping Sets and Pivoting Data
  • Modifying Data
  • Programming with Transact-SQL
  • Error Handling and Transactions




Module 5


Delivering a Data Warehouse in the Cloud

  • Introducing SQL Data Warehouse
  • Designing and Querying Data Warehouses
  • Integrating and Ingesting Data
  • Managing Data Warehouses




Module 6


A. . Processing Big Data with Azure Data Lake Analytics

  • Introduction
  • Getting Started with Azure Data Lake Analytics
  • Using a U-SQL Catalog
  • Using C# Functions in U-SQL
  • Monitoring and Optimizing U-SQL Jobs
B. Processing Big Data with Azure HDInsight
  • Introduction
  • Getting Started with HDInsight
  • Processing Big Data with Hive
  • Going Beyond Hive with Pig and Python
  • Building a Big Data Workflow




Module 7


A.Processing Real-Time Data Streams in Azure

  • Introduction
  • Ingesting Real-Time Data with Azure Event Hubs
  • Ingesting Real-time Data with Azure IoT Hubs
  • Getting Started with Azure Stream Analytics
  • Working with Temporal Windows
B. . Processing Real-Time Data with Azure HDInsight
  • Introduction
  • Using HBase for NoSQL Data
  • Using Storm for Streaming Data
  • Using Spark for Interactive Analysis
  • Introducing Kafka




Module 8


Orchestrating Big Data with Azure Data Factory

  • Introduction
  • Introduction to Azure Data Factory
  • Pipelines
  • Scheduling Pipelines
  • Transformation




Module 9


A. Developing Big Data Solutions with Azure Machine Learning

  • Introduction
  • Building Predictive Models with Azure Machine Learning
  • Operationalizing Machine Learning Models
  • Using Azure Machine Learning in Big Data Solutions
B. Analyzing Big Data with Microsoft R
  • Getting Started
  • Introduction
  • Reading and Preparing Data
  • Examining and Visualizing Data
  • Clustering and Modeling
  • Deploying and Scaling
C. Implementing Predictive Analytics with Spark in Azure HDInsight
  • Course Introduction
  • Introduction to Data Science with Spark
  • Getting Started with Machine Learning
  • Evaluating and Optimizing Machine Learning Models
  • Recommenders and Unsupervised Models





Learning Outcome:

  • Perform data gathering of large data from a range of data sources.

  • Critically analyse existing Big Data datasets and implementations, taking practicality, and usefulness metrics into consideration.

  • Understand and demonstrate the role of statistics in the analysis of large datasets.

  • Select and apply suitable statistical measures and analyse techniques for data of various structure and content and present summary statistics.

  • Understand and demonstrate advanced knowledge of statistical data analytics as applied to large data sets.

Evaluation

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

Assignment

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

  • Some courses contains lab assignments. 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 and successfully complete the capstone project to be eligible for the MPP Certificate.

Projects

Capstone Project

  • Microsoft Professional Capstone : Big Data

  • You will get an opportunity to showcase your data science knowledge and skills and solve a real-world data science problem by doing the  Microsoft Professional Capstone.

  • 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.

ADDRESS

91 Delamere Road

London

W5 3JP

Marisoft Tower 1, Adlabs

Pune

India

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