Winter Training Program

The key advantage of machine learning is that it enables computers to access hidden insights, finding patterns that can either be used by researchers to find unknown patterns (as might be used for movie recommendation) or by businesses to find insights into customer behaviour or to target potential new consumers. Machine learning not only helps find things that people may not, it also does what people do far more quickly. Machine learning algorithms tend to operate at expedited levels. Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Pre-requisites of the course

• Good knowledge at algorithms development
• Basic knowledge of statistics and conditional probability
• Understanding of linear algebra: vector operations, matrix operation

Curriculum

• Getting started with Python
• Number Processing with Numpy
• Database operations with Pandas
• Data Visualization with Matplotlib and Seaborn
• Fundamentals of Machine Learning
• Hello World of Machine Learning :Perceptron algorithm using Numpy
• Implementing Regression using Scikit-learn Module LinearRegression
• Classification using scikit-learn : LogisticRegression
• Feature Selection : importance and implementation using Scikit-learn
• Non Linear classification using Decision Tree
• RandomForest and ideas of Bootstraping and Bagging
• Classification using Baysian Theory and Naïve-Bayes
• Non Parametric Machine Learning Algorithm : K nearest neighbour(kNN)
• Unsupervised learning using K-means cluster
• Project

Data is key to every decision making. Efficient processing of data gives trends , hidden pattern along with many other aspects and all of them have immense importance for a business organization to strategize , positioning etc . Larger the amount of data better the result . Not so long back access to large amount of data was very difficult. But today due our access to the Internet and cheap sensors it is possible to access very high volume of data so large that requires thousands of computer to store and process them . These data are not only very large but also unstructured . These are commonly referred to as BigData. Traditional data processing technologies are incapable of handling such large volume of data. Hadoop is solution to this problem. Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless
concurrent tasks or jobs.

Pre-requisites of the course

• Knowledge of programming using JAVA, SQL

Curriculum

• Necessary Java Knowledge for Hadoop
• Introduction to BigData and Hadoop
• HDFS
• Introduction to MapReduce
• Pig
• Hive
• NOSQL Database Management using HBASE
• Project

Data Science is important in business to understand problems facing an organisation, and to explore data in meaningful ways. Data in itself is merely facts and figures. Data Science organises, interprets, structures and presents the data into useful information that provides context for the data. This context can then be used by decision-makers to take action with the aim of enhancing productivity and business gain. Python language provides necessary tools and techniques for the purpose of data analysis.

Pre-requisites of the Course

• Programming knowledge using C, C ++
• Knowledge of SQL will be beneficial

Curriculum

• Python Language Basics
• Build-in Data Structures, Function
• Numpy Basics: Array and Vectorized Computation
• Pandas
• Data Loading
• Data Cleaning and Preparation
• Data Wrangling: Join Combine, Reshape
• Plotting
• Data Aggregation and Group Operations
• Introductory Statistics
• StatModels : Statistical Model creation
• Project

A full-stack developer career is worthwhile, given the rise of technology and business reliance on technological advancement.advance. Angular JS is a popular framework for building dynamic web applications. It is often used in conjunction with other technologies to create a full stack development environment. As Full-stack web developers can do all the processes by themselves they are valued well in the companies. Top-tier companies are converted from the traditional method and try to hire full-stack web developers.

Pre-requisites Of the course

• Proficiency in HTML, CSS, and Java Script

CURRICULUM

• Fundamental of JSS
• Introduction to Angular JS
• Angular JS Building Blocks
• Single Page Applications
• Controllers
• Models
• Expressions
• Filters
• Scopes
• MVC in Angular JS
• Modules
• Routing and Views
• Data Bindings in Angular JS
• Services &Factories
• Forms and Directives
• Node.js and Express.js
• MONGO DB and Forming Queries
• Updates,Deletes and More Complex queries
• Project

The MERN stack is a collection of technologies that help developers build robust and scalable web applications using JavaScript. The acronym “MERN” stands for MongoDB, Express, React, and Node. js, with each component playing a role in the development process.

Pre-requisites of the Course

• Knowledge of front-end languages like HTML, CSS, and JavaScript
• Proficiency with front-end tools like Visual Studio Code and Git
• Understanding the basics of Website Design
• Understanding how to use React

Curriculum

• What is Mern Stack
• Mern Stack Course Plan with Details
• Module 1: Introduction to Fullstack
• Module 2: UI Design
• Module 3: HTML
• Module 4: CSS
• Module 5: Frontend Development
• Module 6: Bootstrap CSS Framework
• Module 7: Javascript
• Module 8: DBMS using MongoDB
• Module 9: NodeJS
• Module 10 – ExpressJS
• Module 11 – ReactJS

Internet of Things can create a world where in each and every device in your home, workplace and car are connected. “Internet of things” takes the world to the next level by providing advanced interaction between devices, actuation and automation systems and services. It is not a second internet, but is a network of devices that are connected to the internet. It is said to be the evolution of internet architecture. The IoT is expected to offer incredible potential for business opportunities. It creates the potential not just for creating market transformation, but also creates market disruption. Moreover, these devices can be used to collect current and real time information that is more meaningful and actionable to the business.

Curriculum

• IOT system architecture
• IOT Phy connectivity
• Short, Medium, Long range wireless
• IOT Networking
• IOT Security
• Project

A Microsoft azureprogram can enable you to pursue a wide range of career options. You can become a cloud architect, a developer, or a solution architect. In addition, the certification enables you to work in various industries at different locations. Companies in all industries migrate to the cloud because of the benefits they get in storage, computing, and networking. An Azureprofessional can get into different roles in industries like health care, finance, and entertainment.

Pre-requisites Of the course

• Knowledge of Computing Fundamentals with HTML and Java/Python

CURRICULUM

• Fundamentals of Cloud Computing
• Cloud Infrastructure and Cloud Advantage
• Azure Fundamentals
• Overview of all Azure Services
• Azure Storage
• Storage Account Replication Techniques: LRS, ZRS, GPS & RA-GPS
• Azure Virtual Network
• Architectural differences between Azure VPNs like VNET to VNET,point-to-site and site to site.
• Azure Virtual Machines
• Understanding Concepts of: Load Balancing, Availability Set and Auto Scaling
• Azure Web Apps
• Resource Group and App Service Plans
• Azure SQL Database
• Advance Capabilities

Cybersecurity and ethical hacking are crucial for securing online data, user authentication, and privacy protection. Ethical hackers focus on identifying and resolving security vulnerabilities, while cybersecurity experts aim to protect networks and data from unauthorized access. Cybersecurity and ethical hacking are more important than ever because of the rise in online data risks and attacks. Professionals in cyber security and ethical hackers are in high demand.

Pre-requisites Of the course

• Knowledge of basic programming in C/C++/Java

CURRICULUM

• Introduction to Cyber Security & Ethical Hacking
• Cyber Law & Case Studies
• Information Security & Cryptography
• Virtualization & Penetration Testing
• Footprinting & Reconnaissance
• Security & Hacking using C programming
• Computer Virus & Malware Threats
• Setup, Penetration Testing & Reporting of a Web Application
• Cyber Attacks & Precautions
• Computer Forensics & Investigative Process
• How to use the Kali Linux
• Project

Tableau is built on the work of scientific research to make analysis faster, easier, and more intuitive. Analyzing data in a quick, iterative way that provides immediate feedback makes the products engaging, fun, and easy to learn. Learning Tableau does not require prior programming or technical knowledge, making it accessible for individuals seeking to advance their career in data analysis. The learning process for Tableau varies with individuals, typically ranging from two to six months for a working knowledge of the platform.

Pre-requisites of the Course

• Basic understanding of computers

Curriculum

• • Power BI
  • Introduction
  • Sign-Up for Power BI
  • Power BI Desktop
  • Tables in Power BI Desktop
  • Visual Calculations
  • Filters & Slicers
  • Graphics & Visualizations
  • Interactive Dashboards
  • DAX Formulas
  • DAX Measures
  • Relationships
  • Power BI Query Editors
  • Analyse Data with Excel
  • Introduction to Tableau
  • Explore Tableau Desktop
  • Explore Visualization in Tableau
  • Data Transformation in tableau
  • Data Modelling
  • Data Manipulation
  • Project