8 months live structured program designed by industry experts to upskill & successfully transition to Data Science roles.
Next batch starts on September
Solid command on fundamentals to advance concepts in Data Science
Proficiency in solving business case-studies & building real-life projects
Career transition to top-tier Data-driven companies
Personalized Learning
Success Manager Ensures Personal Growth
Structured Curriculum
Covers all Concepts in Depth
Live classes by Top Data Scientists
Interactive Classroom with 4 Classes a Week
Regular 1:1 Mentorship Sessions
A Personal Mentor will be Assigned
Motivated Community
Learn with Like-minded Community
Recruitment Team
Get Diverse Placement Opportunities
Resume Creation
LinkedIn Profile Optimization
Profile creation on other platforms
Understand your weak points
Have Machine Learning & Deep learning interviews
On-demand company-specific interviews
Opportunities In 100+ Partner Tech Companies
Referral to almost all top product companies
Sharing hiring opportunities of different companies
Module 1 - DATA FUNDAMENTALS
Duration: 6 Weeks
The first step towards becoming a Data Analyst, Data Scientist, or ML Engineer is to have strong command over the fundamentals of visualization, dashboarding & reporting of data.
Within this module, our goal is to become confident in data fundamentals.
Topics that will be covered:
1. Beginner Python
2. Tableau + Excel
3. SQL
USPs of our Delivery
Module 2 - DATA ANALYSIS AND VISUALIZATION
Duration: 6 Weeks
As a Data Analytics, Data Scientist, or ML Engineer, it is important we know how to break down business situations, design correct metrics & deal with uncertainty. Within this module, you will learn all of this.
Topics that will be covered:
1. Python libraries
2. Probability & Applied Statistics
3. Product Analytics
USPs of our Delivery
Module 3 - FOUNDATION OF MACHINE LEARNING & DEEP LEARNING
Duration: 8 Weeks
Mathematics is the foundation upon which Machine Learning & Deep Learning algorithms are built.
That is why, in this module, you will fall in love with mathematics as you solve engaging problems & build your solid foundations of Machine Learning & Deep Learning.
Topics that will be covered:
1. Advanced Python
2. Math for Machine learning
3. Introduction to Neural Networks & Machine learning
USPs of our Delivery
Module 4 - TRANSITION TO TOP PRODUCT COMPANIES AT DATA ANALYTICS ROLE
Duration: Until you get placed.
Once you have upskilled yourself to become a great data scientist, it is important that we now focus on getting you interview opportunities from diverse companies.
This process is usually of 3 phases:
We focus on all the above 3 objects in this phase.
Topics that will be covered:
Placement Support Includes:
1. Building a strong profile
2. Applying the right way
3. Acing the interview
Outcome
You getting placed at one of the top tech companies like Google, Microsoft, Amazon, Apple & sharing us a personal review of your journey with us.
USPs of our Delivery
Module 5 - SPECIALIZATION IN MACHINE LEARNING AND/OR DEEP LEARNING
Duration: 8 Weeks
Within this module, you will work on multiple projects build in partnership with top companies.
You will get your hands dirty by working with messy & unclean datasets from real companies.
You have the flexibility to select either one or both of the offered specializations, based on your interests and career goals.
1. Supervised Learning
2. Unsupervised Learning
AND / OR
1. Neural Networks
2. Computer Vision
3. Natural Language Processing
USPs of our Delivery
Module 6 - MACHINE LEARNING OPS + DATA STRUCTURES & ALGORITHMS
Duration: 4 Weeks(Optional)
A great Data Scientist or ML Engineer is also capable of developing end-to-end pipelines & building applications powered by machine Learning models.
This is the reason why, Within this module, you will learn how to develop end-to-end ML pipelines. And you will work on the latest cloud platforms to deploy & monitor your models.
Moreover, Data structures & Algorithms are part of interviews at top product companies. That is why, you will also focus on Data Structures & Algorithms to be able to crack these interviews.
Topics that will be covered:
1. Machine Learning Ops
2. Advanced Data Structures & Algorithms
USPs of our Delivery
Module 7 - TRANSITION TO DATA SCIENCE ROLE
Duration: Until you get placed.
Once you have upskilled yourself to become a great data scientist, it is important that we now focus on getting you interview opportunities from diverse companies.
This process is usually of 3 phases:
We focus on all the above 3 objects in this phase.
Topics that will be covered:
Placement Support Includes:
1. Building a strong profile
2. Applying the right way
3. Acing the interview
Outcome
You getting placed at one of the top tech companies like Google, Microsoft, Amazon, Apple & sharing us a personal review of your journey with us.
USPs of our Delivery
Rated highly by Working Professionals Upskilling with us, these Instructors and Mentors are working in Top Tech Companies and are familiar with best ways to crack these companies.
Bosscoder is a platform to:
Still, have questions? Let our program specialist help you out!
Next Batch starts on September