Data Science Bootcamp

The Data Science Bootcamp is an immersive learning and coding bootcamp designed to get you hired. Create robust predictive models and build the confidence and credibility to tackle complex machine learning problems
on the job.

Build professional projects like the top 1% of data scientists and create a solid, job-worthy portfolio to impress top recruiters with and land your dream job as a data scientist.

What's Included?

• 124 Hours of Live Instructor-Led Sessions
• 400 Hours of Hands-On with Cloud Labs
• 280 Hours of On-Demand, Self-Paced Learning
• Project-Based Immersive Learning
• Professional-Grade Project Portfolio
• Industry-Validated Curriculum
• Personalized Career Guidance

Build A Job-Worthy Project Portfolio

Are you a creative, curious, and ambitious professional looking to join the data revolution? If so—or if any of the following describes your situation—enrolling in our data analytics training and placement program could be a smart career move:

• You want to switch into the information technology field and start your career in data analytics, data analysis, or business intelligence.
• You are currently a professional working with data but are looking to advance your career by building technical skills.
• You are a manager or professional in a business where data can be used to boost your company’s bottom line.
• You have an interest in visualizing social, consumer, or popular trends.

Who should attend this course?

• Statisticians
• Data Analysts
• AI Engineers
• Python Developers
• Professional-Grade Project Portfolio
• Product Managers
• Beginner Data Scientists
• Beginner ML Engineers
• Applications Architects
• Graduates from any discipline
• Professionals looking to build a career in Data Science

Program Outline

Milestone 1: Programming Toolkit

Get a strong understanding of programming, essential tools, and concepts in Mathematics
and statistics that are necessary to the practice of data science.

Programming Essentials and Introduction to the Web

• Fundamentals of Computers
• The World Wide Web
• People and Companies
• Fundamentals of Computer Programming

MS Excel Basics

• Capstone Project

Python for Data Science 

• Introduction to Python
• Code and Data
• Building Blocks
• Strings
• Data Structures
• Flow Control
• Functions
• Modules
• Files
• NumPy
• Regular Experssion
• Visualization

Milestone 2: Data Toolkit

• Explore how to use Python and machine learning to learn the application of data science in work-related scenarios 

SQL Basics 

• Introduction to Relational Databases
• Introduction to SQL operations, Clauses and Functions
• Capstone Project

No SQL Basics

• NoSQL and Document Databases
• MongoDB Basics
• MongoDB Atlas Set-up
• Introduction to CRUD Operations in MongoDB
• MongoDB Drivers and Python Demo

Milestone 3: Machine Learning Essentials

• Learn the basics of machine learning, along with mathematical and statistical concepts.

Mathematics and Statistics Foundation

• Probability
• Satistics 
• Linear Algebra
• Calculus

Course curriculum

• Introduction
• Python Basics
• Data in Python
• Data Visualization
• Satistics 
• Advanced Data Analytics
• Machine Learning Basics
• Feature Extraction
• Naive Bayes Models
• Support Vector Machines and Regression
• Logistics Regression
• Model Evaluation and Ensemble Learning
• Dimensionality Reduction

Milestone 4: Advanced Machine Learning

• Learn how to leverage NLP and deep learning concepts to add teeth to your capabilities in data science.

Deep Learning with Keras and TensorFlow

• Capstone Project

Natural Language Processing

• Introduction to Natural Language Processing
• Practical Understanding of Corpus and Dataset
• Understanding the Structure of Sentences
• Essentials of NLP
• Feature Engineering, Text Vectorization, and Transformation Pipelines
• NLP with Libraries: Parts 1 and 2
• Sentiment Analysis
• Machine Learning for NLP Problems
• Topic Moderation and Word Embeddings

Milestone 5: Applied Data Sciences

• Put your data science learning into practice, work on projects that involve different industries, and see how you can use data science tools to solve problems. Get certified after clearing your final assessment.

Deploying Models on Cloud

• Standard
• Regular
• Social Media and the Internet
• Medicine and Health
• Sports
• Finance Industry
• Other
• Niche and Advanced

Post-Bootcamp Activities

• Deploying a portfolio web app on the cloud and making it available on GitHub
• CV/Resume Preparation
• Interview Analysis and Feedback
• Career Counselling
• Interview Preparation 
• Final Assessment 
• Module Assessment 
• Mini-project or Assignment 
• Project
• Final Test

Certification

• Course Completion Certification