Programming Bootcamp:

Programming Bootcamps to enable participants with basic coding proficiency to focus on the most important aspects of coding and immediately apply their coding skills to solve real-world problems.

Foundation Bootcamp:

Participants will learn the fundamentals of basic Statistical Methods. Statistics offers methods to estimate and correct for any bias within the sample and data collection procedures. There are also methods of experimental design for experiments that can lessen these issues at the outset of a study, strengthening its capability to discern truths about the population.

Module 1 – Cloud Computing & Big Data

• Cloud computing enables big data to control and distribute the stored data suitably. The main idea of big data is to accumulate, handle, visualize, and evaluate the huge amount of data, which is achieved by collaboration with cloud computing
• Learn in detail about Data Collection, Exploratory/Diagnostic Statistics, Cloud Computing & Digital twin, etc
• Understanding of Big Data Management systems such as Data Lake, Hub, Fog, Edge Computing, etc
• Apply the acquired learning with Hands-on session

Module 2 – Data Visualization

• Knowledge of Data Visualization and the use of Power BI, Tableau, advance Excel Data Analysis, etc. to develop and present analytical results for decision making to management
• Apply the acquired learning with Hands-on session

Module 3 – Data Optimization & Machine Learning

• Understanding the concept of Data Optimization and Machine Learning through Prescriptive statistics, Text Analytics, Time Series Data Analysis, Minitab and Matplotlib, which allows to work on large data and make data-driven recommendations and decisions
• Apply the acquired learning with Hands-on session

Module 4 - Data Architecture & Machine Learning

• Understanding the concept of Data Architecture and Machine Learning with Advanced Optimization & Simulation, Predictive Statistics, Process capability & performance for improvement of business efficiency
• Apply the acquired learning with Hands-on session

Module 5 – Deep Learning

• Comprehensive understanding of Deep Learning, Sampling in Data Analysis, advance Lean Analysis, Time concepts and Hadoop Data Framework
• Apply the acquired learning with Hands-on session

Module 6 – Natural Language Processing

• Understanding the concepts and application of Natural Language Processing which helps computers to communicate with humans in their own language and scales other language-related tasks
• Apply the acquired learning with Hands-on session

Module 7 –Ecommerce & Marketing Analytics

• Understanding the concepts of E-commerce Analytics which help to study the users' behaviour and determine how the strategy should be structured based on a customer's preferences internationally
• In Marketing Analytics, gauge how well your marketing activities are performing and then determine what can be done differently to get better results across international marketing channels
• Apply the acquired learning with Hands-on session

Module 8 – Pricing & Retail Analytics

• In-depth understanding of the concepts of Pricing analytics and its associated tools to analyse how pricing activities affect the overall business globally, the profitability of specific price points, and optimize a business's pricing strategy for maximum revenue
• Understanding the process of collecting and studying retail data like sales, inventory, pricing, etc to discover global trends, predict outcomes, and make better business decisions
• Apply the acquired learning with Hands-on session

Module 9– Financial Analytics

• Understanding the concepts of financial analytics to know the worldwide key trends, evaluate the company’s financial performance, shape the strategy for business through reliable, factual insight and take actions to improve the company’s performance
• Apply the acquired learning with Hands-on session

Module 10 – HR Analytics

• Understanding concepts and techniques of workforce analytics in HR function’s various domains such as talent acquisition & development, hiring & promotion, performance evaluation, job design, building leadership, compensation & collaboration, etc. for improving the human resource functions in MSME business
• Apply the acquired learning with Hands-on session

Module 11 - Digital & SEO Analytics

• Digital analytics helps companies to provide a better online experience to their clients as well as potential customers through an analysis of digital/ social media platforms, which gradually results in the achievement of desired goals
• Comprehensive knowledge in Search Engine Optimization (SEO) analysis to help identify key areas to focus on when optimizing a site and Search Engine Marketing (SEM) to increase the visibility of a site
• Apply the acquired learning with Hands-on session

Module 12 - Supply chain Analytics + Lean Six Sigma Certification

• Detailed understanding of Channels of Distribution, Bullwhip Effect, Demand Forecasting, Forecasting using multiple characteristics in Demand Data & Inventory Management, Exponential smoothing method, Measures of Forecasting Error, Location Decision, Network design & optimization models, Multi Echleon inventory management, predictive modelling in forecasting, Optimal level of product availability, Economic Order Quantity (EOQ), Economic Production Quantity (EPQ), etc
• The Lean Six Sigma certification helps in validating professionals who are skilled in identifying risks, errors, or defects in a business process and removing them