Upskill & Transition to Data Science Role
8 months live structured program designed by industry experts to upskill & successfully transition to Data Science roles.
Next batch starts in
From This Program, You Will Gain
All the Right Skills required to transition to Data Scientist roles
Multiple Industry-Relevant Projects to showcase in your resume
Career Transition to a top-tier company as a Data Scientist
Past Alumni Achieving Dream Career Switches

Arun V Sathiamoorthy

Bosscoder Academy's comprehensive syllabus and structured machine learning cover diverse topics. Live classes, mentor interaction and peer interaction is the key difference between learning from online resources vs attending live sessions.

Ashish Johnson

I didn’t have enough confidence for preparation, but Bosscoder Academy came to rescue me in my data career. Well-structured courses, mentor support, and consistent guidance led to success at HCL.

Vamsi Kesav

I Joined Bosscoder Academy for a detailed curriculum and top mentorship. Manish's guidance emphasizes practical approaches for projects. Personal Mentorship helped me receive an offer letter from BlogVault.
Pulkit Gupta

Bosscoder Academy's personalized onboarding, live classes, mentor sessions, and off-class support helped me to get an amazing hike. Personal attention assured me that the decision was worthwhile.

Rohal Kurup

Dreaming of a product-based company, I joined Bosscoder Academy. Their excellent curriculum and structured topics of Machine Learning guided me effectively rather than searching randomly on YouTube.

Ankur Raj
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Engaging live classes, mentor support and mock interviews led to personal and professional growth. Achieved my dream offer at Amazon, no words to describe the feeling.

Chaitanya Bhagat

At first, I was unsure about the exact qualifications needed to succeed in data science domain with product-based companies. Instructors and Mentors at Bosscoder provided clarity on the same. Live classes, curriculum, and mentorship made my preparation successful.

Udit Sharma

I did not have a structured path to follow to kickstart my Data career, that's when i decided that opting for a structured course, like Bosscoder’s, would be a good option. As a result, I got placed at Dassault Systems.

Himanshu Bhaware

I decided to join Bosscoder primarily to get good with fundamentals and advanced concepts of Machine Learning. Bosscoder was really helpful to me in my quest to learn everything I needed to land a job.

Ananda

Since Day 1, I was guided by my mentor and I got a structured curriculum. The curriculum covers everything which is asked in a DSML interview and it increases the chances to land a job in a good company.

Arun V Sathiamoorthy

Bosscoder Academy's comprehensive syllabus and structured machine learning cover diverse topics. Live classes, mentor interaction and peer interaction is the key difference between learning from online resources vs attending live sessions.

Ashish Johnson

I didn’t have enough confidence for preparation, but Bosscoder Academy came to rescue me in my data career. Well-structured courses, mentor support, and consistent guidance led to success at HCL.

Vamsi Kesav

I Joined Bosscoder Academy for a detailed curriculum and top mentorship. Manish's guidance emphasizes practical approaches for projects. Personal Mentorship helped me receive an offer letter from BlogVault.
Pulkit Gupta

Bosscoder Academy's personalized onboarding, live classes, mentor sessions, and off-class support helped me to get an amazing hike. Personal attention assured me that the decision was worthwhile.

Rohal Kurup

Dreaming of a product-based company, I joined Bosscoder Academy. Their excellent curriculum and structured topics of Machine Learning guided me effectively rather than searching randomly on YouTube.

Ankur Raj
.e3f77b4b.webp&w=256&q=75)
Engaging live classes, mentor support and mock interviews led to personal and professional growth. Achieved my dream offer at Amazon, no words to describe the feeling.

Chaitanya Bhagat

At first, I was unsure about the exact qualifications needed to succeed in data science domain with product-based companies. Instructors and Mentors at Bosscoder provided clarity on the same. Live classes, curriculum, and mentorship made my preparation successful.

Udit Sharma

I did not have a structured path to follow to kickstart my Data career, that's when i decided that opting for a structured course, like Bosscoder’s, would be a good option. As a result, I got placed at Dassault Systems.

Himanshu Bhaware

I decided to join Bosscoder primarily to get good with fundamentals and advanced concepts of Machine Learning. Bosscoder was really helpful to me in my quest to learn everything I needed to land a job.

Ananda

Since Day 1, I was guided by my mentor and I got a structured curriculum. The curriculum covers everything which is asked in a DSML interview and it increases the chances to land a job in a good company.

Arun V Sathiamoorthy

Bosscoder Academy's comprehensive syllabus and structured machine learning cover diverse topics. Live classes, mentor interaction and peer interaction is the key difference between learning from online resources vs attending live sessions.

Ashish Johnson

I didn’t have enough confidence for preparation, but Bosscoder Academy came to rescue me in my data career. Well-structured courses, mentor support, and consistent guidance led to success at HCL.

Vamsi Kesav

I Joined Bosscoder Academy for a detailed curriculum and top mentorship. Manish's guidance emphasizes practical approaches for projects. Personal Mentorship helped me receive an offer letter from BlogVault.
Dream Career Switch Made Possible By :
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
Placement Support
To Line Up Interviews

Profile Building
Resume Creation
LinkedIn Profile Optimization
Profile creation on other platforms

Interview Acing
Mock Interviews with expert mentors
Offline & Online Interview Preparation
Salary & Role Negotiation

Apply Right way
Opportunities in 250+ Partner companies
Referrals to almost all data driven companies
Sharing hiring opportunities of different companies
Bosscoder Academy
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Har Hath Kalam
For every Bosscoder program enrollment, we contribute 1% towards the education of ‘out of school’ children.
-
Duration:
Topics that will be covered:
Outcome
USPs of our Delivery
Tools & Technologies
Covered
Gain an extensive understanding of these tools to effectively analyze and visualize data for informed decision-making in various domains.
Excel
Tableau
Power BI
SQL
NumPy
Pandas
Adv. Python
Matplotlib
Jupyter/Colab
Python
TensorFlow
Seaborn
Learn from Industry Veterans
Instructors & Mentors
Rated highly by Working Professionals Upskilling with us!
Industry-Relevant Projects
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.
#13

Automated Code Generation AI
24 Hours
Improve and develop an AI system that assists programmers by generating code snippets and debugging existing code. This AI should understand high-level requirements and translate them into functional code in multiple programming languages.
#14

Image Synthesis for Google Photos
28 Hours
Develop a GAN to generate high-quality, synthetic images to enhance user-generated content in Google Photos. This could involve creating realistic background replacements or enhancing image resolution.
#1

Email Categorization Tool
15 Hours
Microsoft is creating an email categorization tool to help users organize their inboxes. Use Python and machine learning (NLP) techniques to classify emails into predefined categories, SQL to store user feedback on categorization accuracy, and Tableau to visualize classification performance metrics.
#2
Network Utilization Dashboard for Infrastructure Planning
15 Hours
Jio requires a detailed analysis of network utilization for future infrastructure development. Pull network usage data with SQL, analyze the data for peak usage times using Python, and use Tableau to create a comprehensive dashboard for planners
#3
Credit Risk Assessment Using Probability and Statistics
20 Hours
Assess credit risk by applying probability distributions and statistical analysis on historical loan data. Use Python to create risk profiles and Bayes Theorem to update risk assessments based on new financial information.
#4
Optimizing Hospital Resource Allocation with Linear Algebra and Calculus
22 Hours
Apply optimization techniques to hospital resource allocation. Use calculus to model demand for hospital services and linear algebra for optimizing the scheduling of medical staff.
#5

Mood-Based Music Recommendation
24 Hours
Develop a system that predicts the mood of a track and recommends music based on the listener's current mood. Employ classification techniques and fine-tune using Bagging to handle the nuances of emotional classification.
#6

Student Performance Prediction
18 Hours
Develop a model to predict student performance and identify at-risk students early in the course. Use features like quiz scores, forum activity, and video watch times. Begin with logistic regression and consider ensemble methods for better accuracy.
#7

Zomato Cuisine Clustering for Recommendations
18 Hours
Zomato aims to enhance its recommendation engine using unsupervised learning. The project will apply K-Means clustering to categorize restaurants and cuisines based on user reviews and ratings.
#8

Anomaly Detection in Ride Fares
16 Hours
Implement an anomaly detection system to identify unusual fare prices that could indicate errors or fraudulent activity. This project could help maintain pricing consistency and customer trust.
#9
Apple iPhone Defect Detection Using CNN
20 Hours
Apple plans to implement a CNN-based anomaly detection system to improve iPhone manufacturing quality. The project includes tasks like image data pre-processing, CNN model training, and performance evaluation for detecting and classifying defects in production line images.
#10
Autonomous Driving Vision System
24 Hours
Develop a CNN-based vision system for autonomous driving that can accurately detect and classify road elements such as other vehicles, pedestrians, traffic signs, and lane markings. Focus on enhancing the system's ability to perform in varying weather and lighting conditions.
#11

Personalized Virtual Assistant
24 Hours
Craft your own voice-activated assistant using Python and NLP. This assistant should be able to understand and execute voice commands, akin to market leaders like Alexa and Siri, while learning from user inputs for a tailored interaction experience.
#12

Advanced Language Enhancement Tool
16 Hours
Refine a sophisticated language processing system that goes beyond grammar checking. Implement NLP and ML techniques to enhance writing clarity, tone, style, and engagement. Focus on multilingual support and context-aware suggestions.
#13

Automated Code Generation AI
24 Hours
Improve and develop an AI system that assists programmers by generating code snippets and debugging existing code. This AI should understand high-level requirements and translate them into functional code in multiple programming languages.
#14

Image Synthesis for Google Photos
28 Hours
Develop a GAN to generate high-quality, synthetic images to enhance user-generated content in Google Photos. This could involve creating realistic background replacements or enhancing image resolution.
#1

Email Categorization Tool
15 Hours
Microsoft is creating an email categorization tool to help users organize their inboxes. Use Python and machine learning (NLP) techniques to classify emails into predefined categories, SQL to store user feedback on categorization accuracy, and Tableau to visualize classification performance metrics.
#2
Network Utilization Dashboard for Infrastructure Planning
15 Hours
Jio requires a detailed analysis of network utilization for future infrastructure development. Pull network usage data with SQL, analyze the data for peak usage times using Python, and use Tableau to create a comprehensive dashboard for planners
#3
Credit Risk Assessment Using Probability and Statistics
20 Hours
Assess credit risk by applying probability distributions and statistical analysis on historical loan data. Use Python to create risk profiles and Bayes Theorem to update risk assessments based on new financial information.
#4
Optimizing Hospital Resource Allocation with Linear Algebra and Calculus
22 Hours
Apply optimization techniques to hospital resource allocation. Use calculus to model demand for hospital services and linear algebra for optimizing the scheduling of medical staff.
#5

Mood-Based Music Recommendation
24 Hours
Develop a system that predicts the mood of a track and recommends music based on the listener's current mood. Employ classification techniques and fine-tune using Bagging to handle the nuances of emotional classification.
#6

Student Performance Prediction
18 Hours
Develop a model to predict student performance and identify at-risk students early in the course. Use features like quiz scores, forum activity, and video watch times. Begin with logistic regression and consider ensemble methods for better accuracy.
#7

Zomato Cuisine Clustering for Recommendations
18 Hours
Zomato aims to enhance its recommendation engine using unsupervised learning. The project will apply K-Means clustering to categorize restaurants and cuisines based on user reviews and ratings.
#8

Anomaly Detection in Ride Fares
16 Hours
Implement an anomaly detection system to identify unusual fare prices that could indicate errors or fraudulent activity. This project could help maintain pricing consistency and customer trust.
#9
Apple iPhone Defect Detection Using CNN
20 Hours
Apple plans to implement a CNN-based anomaly detection system to improve iPhone manufacturing quality. The project includes tasks like image data pre-processing, CNN model training, and performance evaluation for detecting and classifying defects in production line images.
#10
Autonomous Driving Vision System
24 Hours
Develop a CNN-based vision system for autonomous driving that can accurately detect and classify road elements such as other vehicles, pedestrians, traffic signs, and lane markings. Focus on enhancing the system's ability to perform in varying weather and lighting conditions.
#11

Personalized Virtual Assistant
24 Hours
Craft your own voice-activated assistant using Python and NLP. This assistant should be able to understand and execute voice commands, akin to market leaders like Alexa and Siri, while learning from user inputs for a tailored interaction experience.
#12

Advanced Language Enhancement Tool
16 Hours
Refine a sophisticated language processing system that goes beyond grammar checking. Implement NLP and ML techniques to enhance writing clarity, tone, style, and engagement. Focus on multilingual support and context-aware suggestions.
#13

Automated Code Generation AI
24 Hours
Improve and develop an AI system that assists programmers by generating code snippets and debugging existing code. This AI should understand high-level requirements and translate them into functional code in multiple programming languages.
#14

Image Synthesis for Google Photos
28 Hours
Develop a GAN to generate high-quality, synthetic images to enhance user-generated content in Google Photos. This could involve creating realistic background replacements or enhancing image resolution.

Bosscoder students will receive certificate from NASSCOM, Skill India Initiative by Government of India that will help them in getting good career outcome.
Elevate Your Career with Bosscoder's Data Science Certification
Tailored to improve your professional skills and unlock new career prospects.


Our Alumni Are Placed At:






























Bosscoder is a platform to:
1. Upskill in Data Science concepts with Hands-on projects, using Datasets from real companies
2. Get interview calls from data-driven product companies to make a successful career transition.
Still have questions? Let our program specialist help you out!
Course Fees
Total Fee :
With our affordable EMI option, your fee can be as low as month - that's even less than your monthly grocery bills.
Frequently Asked Questions
Program
What is a Data Science and Machine Learning Program?
Who is eligible for the Data Science and Machine Learning Program?
I am working as a Data Analyst in a service-based company, can I crack Data Science roles with the help of this program?
I am working as a Data Scientist in a service-based company, can I crack product-based companies with this program?
Can I join the DSML course as a fresher?
When are the live classes held?
What if I miss a lecture?
Can I attend part-time?
Does Bosscoder give certificates?
Is Bosscoder Academy’s certification worth it?
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Helping ambitious learners upskill themselves & shift to top product based companies.
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