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BootCamp 40 Hours access_time

40 HOURS OF TRAINING DELIVERED IN 5-21 DAYS

Professionals

DESIGNED BY AND FOR PROFESSIONALS

Curriculum

COMPREHENSIVE CURRICULUM

Learn In-Demand
Data Science Skills!

Attend Our Comprehensive Data Science, Machine Learning, Business Analytics and Data Visualization In-Person and Virtual Bootcamps.

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Bootcamp Details

Enrich your skillset with highly sought-after data science techniques in Advanced Analytics, Big Data Analytics, Machine Learning, Deep Learning and Data Visualization through our elaborately designed in-person and virtual bootcamps. Our trainers are business professionals themselves who aim to bridge the gap between the applicant pool and business requirements in a blend of face-to-face example-based lectures and rigorous software practice.

Course Highlights

  • 5-Day In-Person Bootcamp OR 21-Day Virtual 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

  • Only Passion for Data Science Required
  • No Professional, Coding or Statistical Background Required

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.

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 on 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 drive them to appropriate decision making. Champion the art of storytelling with the help of data.

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.

In-Person Bootcamp Syllabus

Day 1

Intro to Business Analytics

  • General Introduction
  • Theory and Role of Business Analytics
  • Types of Business Analytics
  • Real Life Situations & Examples
  • Types of Analytics
  • 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 Customers
  • Predictive Analytics in Customers
  • Prescriptive Analytics in Customers
  • 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 Operations
  • Predictive Analytics in Operations
  • Prescriptive Analytics in Operations
  • Lab
  • Quiz
  • Revision
  • Q&A

Daily Training

  • Daily Revision
  • Daily Lab Practice
  • Q&A

Day 2

Big Data Analytics

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

Marketing Analytics

  • Theory of Marketing Analytics
  • Real Life Situations & Examples
  • Descriptive Analytics in Marketing
  • Predictive Analytics in Marketing
  • Prescriptive Analytics in Marketing
  • Lab Data
  • Quiz
  • Revision
  • Q&A

Daily Training

  • Daily Revision
  • Daily Lab Practice
  • Q&A

Consolidated Training

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

Day 3

Statistics

  • Theory of Business Application in Analytics
  • Theory of Statistics
  • Real Life Usage & Examples

Azure ML

  • Intro Azure ML
  • Lab
  • Quiz
  • Revision
  • Q&A

R

  • Intro to R
  • Lab
  • Quiz
  • Revision
  • Q&A

Daily Training

  • Daily Revision
  • Daily Lab Practice
  • Q&A

Day 4

Supervised Learning Models

  • Theory of ML & AI
  • Supervised Learning Models
  • Lab
  • Quiz
  • Revision
  • Q&A

Unsupervised & Advanced Ml Models

  • Unsupervised Learning Models
  • Ensemble Models
  • Time Series
  • Recommender Systems
  • Neural Networks
  • Lab
  • Quiz
  • Revision
  • Q&A

Daily Training

  • Daily Revision
  • Daily Lab Practice
  • Q&A

Consolidated Training

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

Day 5

Data Cleansing, Pre-Processing & Transformations

  • Theory of Data Representation
  • Real Life Usage, Challenges & Examples
  • Pull Files
  • Data Cleansing &
  • Transformations
  • Pre-Processing Data for Viewing
  • Lab
  • Quiz
  • Revision
  • Q&A

Visualizations

  • Visualizations
  • Analytics Capabilities
  • Multiple Visualizations
  • Lab
  • Quiz
  • Revision
  • Q&A

Dashboards

  • Dashboards
  • Integrating with Data Sources
  • Lab
  • Quiz
  • Revision
  • Q&A

Consolidated Training

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

Virtual Bootcamp Syllabus

Day 1

Intro to Business Analytics

  • General Introduction
  • Theory and Role of Business Analytics
  • Types of Business Analytics
  • Real Life Situations & Examples
  • Types of Analytics
  • Q&A

Daily Training

  • Daily Revision
  • Daily Lab Practice
  • Q&A

Day 2

Customer Analytics

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

Day 3

Operations Analytics

  • Theory of Operations Analytics
  • Real Life Situations & Examples
  • Theory of Data Storage & Retrieval
  • MS SQL Server
  • Lab
  • Descriptive Analytics in Operations
  • Predictive Analytics in Operations
  • Prescriptive Analytics in Operations
  • Lab
  • Quiz
  • Revision
  • Q&A

Day 4

Big Data Analytics

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

Day 5

Marketing Analytics

  • Theory of Marketing Analytics
  • Real Life Situations & Examples
  • Descriptive Analytics in Marketing
  • Predictive Analytics in Marketing
  • Prescriptive Analytics in Marketing
  • Lab Data
  • Quiz
  • Revision
  • Q&A

Day 6

Consolidated Training

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

Day 7

Hands-On Practice (Round 1)

  • Lab Practice
  • Quiz Session

Day 8

Hands-On Practice (Round 2)

  • Lab Practice
  • Quiz Session

Day 9

Statistics

  • Theory of Business Application in Analytics
  • Theory of Statistics
  • Real Life Usage & Examples

Day 10

Azure ML

  • Intro Azure ML
  • Lab
  • Quiz
  • Revision
  • Q&A

Day 11

R

  • Intro to R
  • Lab
  • Quiz
  • Revision/li>
  • Q&A

Day 12

Supervised Learning Models

  • Theory of ML & AI
  • Supervised Learning Models
  • Lab
  • Quiz
  • Revision
  • Q&A

Day 13

Unsupervised & Advanced Ml Models

  • Unsupervised Learning Models
  • Ensemble Models
  • Time Series
  • Recommender Systems
  • Neural Networks
  • Lab
  • Quiz
  • Revision
  • Q&A

Day 14

Consolidated Training

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

Day 15

Hands-On Practice (Round 1)

  • Lab Practice
  • Quiz Session

Day 16

Hands-On Practice (Round 2)

  • Lab Practice
  • Quiz Session

Day 17

Data Cleansing, Pre-Processing & Transformations

  • Theory of Data Representation
  • Real Life Usage, Challenges & Examples
  • Pull Files
  • Data Cleansing & Transformations
  • Pre-Processing Data for Viewing
  • Lab
  • Quiz
  • Revision
  • Q&A

Day 18

Visualizations

  • Visualizations
  • Analytics Capabilities
  • Multiple Visualizations
  • Lab
  • Quiz
  • Revision
  • Q&A

Day 19

Dashboards

  • Dashboards
  • Integrating with Data Sources
  • Lab
  • Quiz
  • Revision
  • Q&A

Day 20

Consolidated Training

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

Day 21

Hands-On Practice

  • Lab Practice
  • Quiz Session

Prominent Features

Hands-On training

Short Duration Face-to-Face Comprehensive Training

Real World Application

Examples & Application of Concepts in Real World Business Scenarios

Software Training

Front-End and Coding Practice of Relevant Software Tools From Scratch

Learning Management System

Online Access to Recorded Lectures, Exercises, Revision & Training Material

Professional Certificate

Certification of Efforts Recognized by Employers

Post Bootcamp Support

Connect with the Team for Queries in a 1-Hour Session

Database Exploration

Dive into types and essential concepts in databases

Career Support

Get Highlighted to Recruiters from Relevant Businesses

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Impact

Our meticulously designed in-person and virtual bootcamps prepare attendees for a successful career-path and pave the way for easy transition from theoretical understanding to actual business application. Our team of highly trained data scientists has designed bootcamps and live online classroom sessions after evaluating the needs of employers from their own experiences for the benefit of attendees.

Schedule

In-Person Bootcamp
Pricing
2000 $
Our Offering
  • 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
Virtual Bootcamp
Pricing
250 $
Our Offering
  • 21-Day Virtual 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

Dubai
  • JAFZA One Tower A, 11th Floor - Dubai - United Arab Emirates

Kuala Lumpur
  • Jalan Stesen Sentral 2, Suite 8-1 & 8-2, Level 8, Menara CIMB, Kuala Lumpur Sentral, 50470

Jakarta
  • Jl. H.R. Rasuna Said Blok X2 Kav. 6, Menara Palma, 12th Floor, Jakarta, 12950

Istanbul
  • Hakki Yeten Avenue, Selenium Plaza No: 10/c, Floor: 5-6, Fulya, Besiktas, 34349 Istanbul

Trusted By Companies

SCA
Quotient
Samsung
Hitachi

Testimonials

FAQs

How to pay for the bootcamp?

We try our best to facilitate the payment process for your ease. You can pay via Debit or Credit Card, Paypal, Stripe or even pay later at the event.

Do you train corporate teams?

Yes, we do conduct corporate trainings. We offer customized bootcamps for companies where bootcamp curriculum, dates and venue can be customized.

Do you offer accommodations?

Accommodations are not part of the package, attendees belonging to a different city could look up their preferred accommodation types through tripadvisor.com, bookings.com and any other such accommodation providers.

Who is the bootcamp for?

This bootcamp is for anyone willing to start career in, switch his/her career to or progress career in data science, whether one is a student, young professional or a business leader.

Do you offer accommodations in In-Person Bootcamps?

The bootcamp price includes lunch and tea.

Would I get a certificate?

Yes, you would get a completion certificate which you can upload to your LinkedIn to let employers know about your acquired skills in data science and relevant technological tools.

How does the bootcamp help my career?

The bootcamp is a good blend of theoretical knowledge and its application in business. Attendees are able to understand the concepts of data science, practice the required software tools and apply them to real world scenarios. Hence attendees are prepared for a successful career in the field.

What is in the curriculum?

This bootcamp covers topics such as advanced analytics in business, big data analytics, database essentials, machine learning and data visualization comprehensively.

Is there any post-bootcamp support?

Indeed. We offer lecture recordings, revision exercises and snippets of alternative software tools even after the bootcamp.

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