What you’ll learn

Data Science

Track 1

Data Science Overview

  • Introduction to Data Science
  • Data Science in Different Sectors
  • Python components and its Standard Libraries
  • Introduction to Big Data and other Tools

Track 2

Statistics and Business Applications

  • Introduction to Statistics
  • Descriptive and Inferential Statistics
  • Data Sampling and Data Distributions
  • Hypothesis Testing

Track 3

Machine Learning

  • Introduction to AI and Machine learning
  • Data Preprocessing
  • Supervised and unsupervised algorithms
  • Time series and social network analysis

Track 4

Tools and Language

  • Data Science with R and Python
  • Data Visualizations Tools
  • SQL and NoSQL Databases
  • Integration with Hadoop Mapreduce and Spark

Track 5

Hands-On Learning

  • Learn to use Pandas, NumPy and SciPy
  • ML and NLP with Scikit-Learn
  • Data Visualization using matplotlib
  • Learn to work with different file types
  • APIs collect the data from internet

Track 6

Capstone Project

  • Property Price Prediction
  • Customer Segmentation
  • Loan Prediction Model
  • Retail Store Insights
  • Fraud Detection

Track 7

Career Service

  • Career Advice
  • Create a high-quality resume and cover letter
  • Interview coaching and practice
  • Job search Advice
  • Mock interviews for both technical and non-technical topics

Track 8

Mentorship Support

  • Setting learning goals
  • Review of projects and exercises
  • Industry insights
  • Interview tips
  • Career and Job Search advice
  • Tracking weekly progress


Big Data Development

Track 1

Big Data Overview

  • Introduction to Big Data
  • Apache Hadoop and Hadoop Ecosystem
  • Apache Hadoop file storage and cluster components
  • Distributed Processing and Yarn Architecture

Track 2

Data Ingest

  • Data Ingestion using Sqoop
  • Ingest real-time and near-real-time streaming data into HDFS
  • Process streaming data as it is loaded onto the cluster
  • Load data into HDFS using the Hadoop File System commands

Track 3

Transform,Stage and Store

  • Load RDD data from HDFS for use in Spark applications
  • Write the results from an RDD back into HDFS using Spark
  • Read and write files in a variety of file formats
  • Perform standard extract, transform, load (ETL) processes on data

Track 4

Data Analysis

  • Use metastore tables as an input source or an output sink for Spark applications
  • Understand the fundamentals of querying datasets in Spark
  • Filter data and Write queries that calculate aggregate statistics
  • Join disparate datasets using Spark
  • Produce ranked or sorted data

Track 5

Tools and Language

  • Sqoop
  • Hbase
  • Hive
  • Scala and Python
  • Kafka

Track 6

Capstone Project

  • Crime Prediction
  • Fraud Detection
  • Modelling Natural Language

Track 7

Career Service

  • Career Advice
  • Create a high-quality resume and cover letter
  • Interview coaching and practice
  • Job search Advice
  • Mock interviews for both technical and non-technical topics

Track 8

Mentorship Support

  • Setting learning goals
  • Review of projects and exercises
  • Industry insights
  • Interview tips
  • Career and Job Search advice
  • Tracking weekly progress


Full Stack Development

Track 1

Angular Overview

  • Introduction to Angular
  • The concepts of typescript
  • Create components manually and decompose Monolithic UI
  • Modularize angular application
  • Learn the power of dependency injection & routing

Track 2

Overview Of Node Js

  • Understand how to write asynchronous code
  • Learn how to install, update and uninstall node packages using npm
  • Understand how to develop web applications and apis
  • Learn how to secure web applications and apis using JWT

Track 3

Basics of MongoDB

  • Basic concepts of databases
  • What is NoSQL? Where is it used? Types of NoSQL
  • Advantages of NoSQL over RDBMS
  • Introduction to JSON/BSON and its data types

Track 4

Devops

  • LINUX Basics: Unix and linux
  • Introduction to Devops
  • Introduction to Cloud computing
  • GIT: Version Control
  • Jenkins – Continuous Integration

Track 5

Tools and Language

  • Visual Studio Code
  • Mongod
  • Jenkins
  • Gitlab
  • Microsoft Azure

Track 6

Capstone Project

  • Webapp with MEAN Stack
  • Middleware with extraction of data and displaying details

Track 7

Career Service

  • Career Advice
  • Create a high-quality resume and cover letter
  • Interview coaching and practice
  • Job search Advice
  • Mock interviews for both technical and non-technical topics

Track 8

Mentorship Support

  • Setting learning goals
  • Review of projects and exercises
  • Industry insights
  • Interview tips
  • Career and Job Search advice
  • Tracking weekly progress


Data Analytics

Track 1

Data Analytics Overview

  • Introduction to Analytics
  • Type of data analytics
  • Data Analytics Benefits
  • Data Visualization for decision making

Track 2

Analytics Framework

  • Introduction
  • Data Understanding
  • Data Preparation
  • Modelling
  • Reporting

Track 3

Data Analytics in Different Sector

  • Marketing & Retail
  • Web & Social Media
  • Finance & Risk
  • Supply Chain & Logistics

Track 4

Tools and Language

  • SQL
  • Tableau
  • Zoomdata
  • Superset

Track 5

Hands-On Learning

  • Case Studies
  • Economics case studies
  • Statistics case studies
  • Assignments

Track 6

Capstone Project

  • Retail Store data analytics
  • Spend Analytics
  • Risk Analytics

Track 7

Career Service

  • Career Advice
  • Create a high-quality resume and cover letter
  • Interview coaching and practice
  • Job search Advice
  • Mock interviews for both technical and non-technical topics

Track 8

Mentorship Support

  • Setting learning goals
  • Review of projects and exercises
  • Industry insights
  • Interview tips
  • Career and Job Search advice
  • Tracking weekly progress


ERP - Sales and Distribution

Track 1

Introduction to ERP, SAP and Methodology

  • Introduction to ERP
  • Introduction to SAP, S/4 Hana and FIORI
  • Agile Methodology
  • Technical Objects Overview

Track 2

Enterprise Structure Overview

  • ENTERPRISE STRUCTURE & Management
  • Organization Structure
  • MASTER DATA
  • Basic Functions

Track 3

Sales and Distribution Process

  • Sales Process and Document
  • Shipping & Picking
  • Billing Process and Customizing
  • PRICING and Condition technique
  • SHIPPING Process and Customization

Track 4

Business Process & Determination

  • Credit Management
  • Availability Check
  • Third Party Sales
  • Inter Company Sales
  • Stock Transfer Order

Track 5

Special Sales and Complaints

  • Special Document
  • Complaints
  • Outline Agreement
  • Consignment
  • Integration with other Modules

Track 6

Capstone Project

  • Business Blueprint
  • Implementation Process
  • Support Process
  • Functional Design Documents

Track 7

Career Service

  • Career Advice
  • Create a high-quality resume and cover letter
  • Interview coaching and practice
  • Job search Advice
  • Mock interviews for both technical and non-technical topics

Track 8

Mentorship Support

  • Setting learning goals
  • Review of projects and exercises
  • Industry insights
  • Interview tips
  • Career and Job Search advice
  • Tracking weekly progress


ERP - Material Management

Track 1

Introduction to ERP, SAP and Methodology

  • Introduction to ERP
  • Introduction to SAP, S/4 Hana and FIORI
  • Agile Methodology
  • Technical Objects Overview

Track 2

Enterprise Structure Overview

  • ENTERPRISE STRUCTURE & Management
  • Organization Structure
  • MASTER DATA
  • Pricing and Condition technique

Track 3

Purchasing Process and Data

  • Purchase Process and Document
  • Source Determination
  • Release procedure of purchasing documents
  • Outline Agreement

Track 4

Inventory Management

  • Inventory management
  • Physical Inventory
  • Valuation and Account Determination
  • Invoice Verification

Track 5

Special Stocks and Procurement types

  • Third Party Processing
  • Subcontracting
  • Consignment
  • Stock Transfer Order
  • Integration with other Modules

Track 6

Capstone Project

  • Business Blueprint
  • Implementation Process
  • Support Process
  • Functional Design Documents

Track 7

Career Service

  • Career Advice
  • Create a high-quality resume and cover letter
  • Interview coaching and practice
  • Job search Advice
  • Mock interviews for both technical and non-technical topics

Track 8

Mentorship Support

  • Setting learning goals
  • Review of projects and exercises
  • Industry insights
  • Interview tips
  • Career and Job Search advice
  • Tracking weekly progress


Devops

Track 1

DevOps Overview

  • Introduction to DevOps
  • Devops Lifecycle and Tools
  • Devops Pipeline
  • Devops Ecosystems
  • Introduction to DevOps on Cloud

Track 2

Version Control with Git

  • Introduction to Version Control
  • Install Git & common commands
  • Working with Remote Repositories
  • Branching, Merging, Stashing, Rebasing, Reverting
  • Git workflows & cheat sheet

Track 3

Continuous Integration using Jenkins

  • Introduction to CI & Jenkins
  • Jenkins Management
  • Adding a slave node to Jenkins
  • Building Delivery Pipeline
  • Create a pipeline script to deploy an application

Track 4

Continuous Deployment: Containerization with Docker

  • Introduction to Docker & Container
  • Understanding images and containers
  • Working with containers
  • Publishing Image on Docker Hub
  • Docker Container Networking

Track 5

Configuration Management with Ansible

  • Introduction to Ansible
  • Ansible Installation & Configuring Ansible Roles
  • Puppet Architecture,Manifests and Modules
  • Write Playbooks & Execute ad hoc commands

Track 6

Containerization using Kubernetes

  • Kubernetes Cluster Architecture
  • Spinning up a Kubernetes Cluster on Ubuntu VMs
  • Creating a Deployment in Kubernetes using YAML
  • Containers and Container Orchestration
  • Deploying an App using Dashboard

Track 7

Career Service

  • Career Advice
  • Create a high-quality resume and cover letter
  • Interview coaching and practice
  • Job search Advice
  • Mock interviews for both technical and non-technical topics

Track 8

Mentorship Support

  • Setting learning goals
  • Review of projects and exercises
  • Industry insights
  • Interview tips
  • Career and Job Search advice
  • Tracking weekly progress


User Interface / User Experience

Track 1

Principles of Design

  • UI vs. UX Design
  • Core Stages of Design Thinking
  • Divergent and Convergent Thinking
  • Brainstorming and Gamestorming
  • Observational Empathy

Track 2

UI Design Foundations

  • Visual and UI Principles
  • UI Elements and Patterns
  • Interaction Behaviors and Principles
  • Understanding Brand Platforms
  • Style Guides

Track 3

Sketching and Wireframing

  • Sketching Principles
  • Sketching Red Routes
  • Usability Testing
  • Responsive Design
  • Wireframing & Wireflows

Track 4

High Fidelity Prototyping

  • Inclusive Design and Designing for Accessibility
  • Building High-Fidelity Mockups
  • Designing Efficiently with Tools
  • Interaction Patterns
  • Design animations and interactions

Track 5

Prototyping & Testing

  • Building a Prototype
  • Conducting Usability Tests
  • Other Evaluative User Research Methods
  • Synthesizing Test Findings
  • Prototype Iteration

Track 6

Capstone Project

  • Identifying Requirements and Writing Problem Statements
  • Solution Ideation & Information Architecture
  • Creating Personas & User Stories
  • Usability Testing

Track 7

Career Service

  • Career Advice
  • Create a high-quality resume and cover letter
  • Interview coaching and practice
  • Job search Advice
  • Mock interviews for both technical and non-technical topics

Track 8

Mentorship Support

  • Setting learning goals
  • Review of projects and exercises
  • Industry insights
  • Interview tips
  • Career and Job Search advice
  • Tracking weekly progress