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Comprehensive curriculum

Our immersive, hands-on data science bootcamp has served more than 5000 working professionals from 1500+ companies. Take our 5-day, practical course. Our passionate teaching team consists of leading data scientists and practitioners. We focus on problem solving in real-world business context while providing the right balance between theory and practice.

Bootcamp Highlights

  • 5-Day In-Person Bootcamp
  • Professional Certificate
  • Delivered By Business Professionals
  • Immersive 40 Hours Learning
  • In-Classroom Lectures and Discussions
  • Coding Exercises and Model Building Labs
  • Networking Opportunities
  • Real World Business Application of Techniques
  • Hands-On Software Installation & Training
  • Post Bootcamp Access to Learning Material
  • Post Bootcamp Snippets for Alternative Software Technologies

Prerequisites

  • Passion for data science
  • Knowledge of Stats/Econometrics would be helpful
  • Knowledge of Computer Programming would be helpful

The quality of data, often underestimated, has a very strong impact on the output of models. Learn to explore and analyze data quality and its collection mechanism in order to be able to produce effective results for your models.

Data is one of the most important assets in the modern world for any organization. The way it is stored and consequently retrieved matters a great deal. Learn how the database design aids or hinders efficient data rendering. Gathering of data from various sources inside and outside an organization make it very difficult to compile in reality. Learn how to pre-process data so that it is clean for further usage and operations.

The surge in data generation has unlocked the power of data to achieve business goals. Learn to use advanced analytics to boost marketing results, minimize bottlenecks to operational success and ensure greater customer acquisition and retention.

With each click, each like, each tap the size of data is expanding at an exponential rate. Where this has a clear advantage, the sheer size of data and the challenge of storing and filtering relevant data requires sophisticated big data techniques and software technologies.
Unchanged:

Machine learning is a subclass of artificial intelligence and is being widely used to solve real world business problems. This course is designed to impart in-depth knowledge of how to train sophisticated machine learning models for their correct use in relevant business scenarios. Greater reliance on machine learning algorithms places a high emphasis on strict model evaluation. Learn how to evaluate machine learning models with an emphasis of strengthening weak models.

The end goal of data science is to clearly present data and model results in a way that strikes the relevant stakeholders and drives them to appropriate decision making. Champion the art of storytelling with the help of data. Unchanged:

All attendees compete in an in-class Kaggle competition. This gives attendees hands-on experience of the theoretical concepts as well as a taste of real life application of the taught lessons.

Our Learning Management System ensures that you get access to highlights, lectures, quizzes and code snippets (including alternative software tools) even after you finish with your bootcamp with us, duration of access depends on the package you select.

Syllabus

Day 1

Business Analytics

  • -Theory and Role of Business Analytics
  • -Types of Business Analytics (Marketing, Operations & Customer)
  • -Real Life Situations & Examples
  • -Types of Analytics (Descriptive, Predictive & Prescriptive)
  • -Q&A

Customer Analytics

  • -Theory of Customer Analytics-Real Life Situations & Examples
  • -Data Collection Techniques
  • -Data Limitations and Issues
  • -Intro to MS Excel
  • -Descriptive Analytics in MS Excel (Correlation)
  • -Predictive Analytics in MS Excel (Regression)
  • -Prescriptive Analytics in MS Excel (Optimization)
  • -Lab
  • -Quiz
  • -Revision
  • -Q&A

Operations Analytics

  • -Theory of Operations Analytics
  • -Real Life Situations & Examples
  • -Theory of Data Storage & Retrieval
  • -MS SQL Server
  • -Lab
  • -Descriptive Analytics in MS Excel (Products Weighted Sale Growth)
  • -Predictive Analytics in MS Excel (Trends & Moving Average)
  • -Prescriptive Analytics in MS Excel (Distribution Cost Optimization)
  • -Lab
  • -Quiz
  • -Revision
  • -Q&A

Daily Revision

  • -Daily Revision
  • -Daily Lab Practice
  • -Q&A

Day 2

Big Data Engineering

  • -Theory & Concepts of Big Data
  • -Real Life Usage, Challenges & Examples
  • -NoSQL (MongoDB)
  • -Hadoop Ecosystem
  • -Lab
  • -Quiz
  • -Revision
  • -Q&A

Marketing Analytics

  • -Theory of Marketing Analytics
  • -Real Life Situations & Examples
  • -Descriptive Analytics (Purchase History) with Azure ML/R
  • -Predictive Analytics (Feature Based Classification) with Azure ML/R
  • -Prescriptive Analytics (Product Recommendation) with Azure ML/R
  • -Lab Data
  • -Quiz
  • -Revision
  • -Q&A

Daily Revision

  • -Daily Revision
  • -Daily Lab Practice
  • -Q&A

Modular Revision

  • -Consolidated Lab of Entire Course
  • -Consolidated Quiz of Entire Course
  • -Brief Sum Up of Entire Course
  • -Q&A

Day 3

Machine Learning Basics

  • -Theory of Business Application in Analytics
  • -Theory of Statistics
  • -Real Life Usage & Examples
  • -R/Azure ML
  • -Lab

Daily Revision

  • -Daily Revision
  • -Daily Lab Practice

Day 4

Machine Learning

  • -Theory & Concepts of Big Data
  • -Real Life Usage, Challenges & Examples
  • -NoSQL (MongoDB)
  • -Hadoop Ecosystem
  • -Lab
  • -Quiz
  • -Revision
  • -Q&A

Daily Revision

  • -Daily Revision
  • -Daily Lab Practice

Modular Revision

  • -Consolidated Lab of Entire Course
  • -Consolidated Quiz of Entire Course
  • -Brief Sum Up of Entire Course

Day 5

Data Visualization

  • -Theory of Data Representation
  • -Real Life Usage, Challenges & Examples
  • -R/Power BI
  • -Lab
  • -Quiz
  • -Revision

Modular Revision

  • -Consolidated Lab of Entire Course
  • -Consolidated Quiz of Entire Course
  • -Brief Sum Up of Entire Course

Prominent Features

Hands-on training

5 days of rigorous face-to-face training. Lectures, model building, discussions and more…

Real World Application

Reference books and lab manuals to help you continue learning – even after the bootcamp.

Software Learning

Tons of coding and cloud-based machine learning exercises for you to improve.

Learning Management System

Recorded lectures, course material, books, quizzes, handouts, labs, source code and advanced learning resources – all in one place.

Professional Certificate

Chat and discussion forums to collaborate with other attendees before, during and after the bootcamp.

Post Bootcamp Support

Activities to solidify theoretical concepts. Think building a decision tree or doing gradient descent by hand!

Kaggle

Data science is a hands-on skill. You will be participating in a data science competition during the week.

Career Support

Breakfast, lunch and dinner with other attendees who have rich and diverse backgrounds. You will learn more than just technical skills!

Real people. Real Projects. Real impact.

Our immersive, hands-on data science bootcamp has served more than 5000 working professionals from 1500+ companies. Take our 5-day, practical course. Our passionate teaching team consists of leading data scientists and practitioners. We focus on problem solving in real-world business context while providing the right balance between theory and practice.

Schedule

30thMarch

Data Science Virtual Bootcamp

Duration: 29 DaysTickets Left: 100Price:
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6thApril

Data Science Virtual Bootcamp

Duration: 29 DaysTickets Left: 100Price:
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11thApril

Data Science Virtual Bootcamp

Duration: 85 DaysTickets Left: 100Price: $250.00 (USD)
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4thMay

Data Science

Duration: 5 DaysTickets Left: 30Price: $2,000.00 (USD)
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18thMay

Data Science

Duration: 5 DaysTickets Left: 30Price: $2,000.00 (USD)
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31stMay

Data Science

Duration: 5 DaysTickets Left: 24Price: $2,000.00 (USD)
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15thJune

Data Science

Duration: 5 DaysTickets Left: 30Price: $2,000.00 (USD)
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Recommended
1 Year
400 $
Whole year of course manual access

  • 5-Day In-Person Bootcamp
  • Professional Certificate
  • Delivered By Business Professionals
  • Immersive 40 Hours Learning
  • In-Classroom Lectures and Discussions
  • Coding Exercises and Model Building Labs
  • Networking Opportunities
  • Real World Business Application of Techniques
  • Hands-On Software
  • Installation & Training
  • Post Bootcamp Access to Learning Material
  • Post Bootcamp Snippets for Alternative Software Technologies

Instructors

Bootcamp Venues

Trusted By Companies

Quotient
Samsung
Hitachi

Testimonials

FAQs

Do you provide visa assistance?

No, we do not provide visa assistance it is rather the responsibility of applicant to ensure that he/she meets the adequate consular requirements, however we do offer courses in various parts of the world, you can see the schedule for upcoming courses in your country.

Do I need any previous qualification or experience?

No, this course is designed in a way that anyone who is new to the field of data science is not put at a disadvantage relative to someone who already has some exposure to this area.