
Switch to a High Paying Data Science Career Without Quitting Your Job
Switch to a High Paying Data ScienceCareer Without Quitting Your Job
Master Python, SQL, Machine Learning, Deep Learning, Advanced DSA & Gen AI for Top Data Science Roles in Just 8 Months
Structured Curriculum
1:1 Mentorship by MAANG Experts
Industry-Relevant Projects

"Got an amazing salary hike, thanks to Bosscoder Academy's Program"
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Maxhome.ai
















































































































































































































































99 LPA
HIGHEST PACKAGE
120%
SALARY HIKE
2200+
LEARNERS PLACED
SUCCESS STORIES
Bosscoder has helped build 2200+ Careers
instructors & MENTORS
Become a skilled
Data Scientist
ML Engineer
Data Analyst
Applied Scientist
Sr. Data Scientist
Average Salary Package
24-26 Lakhs
Highest Salary after Bosscoder
99 Lakhs
Real Data science Projects You’ll Work On
Automated Code Generation AI
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.
Image Synthesis for Google Photos
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.
Email Categorization Tool
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.
Network Utilization Dashboard for Infrastructure Planning
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
Credit Risk Assessment Using Probability and Statistics
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.
Optimizing Hospital Resource Allocation with Linear Algebra and Calculus
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.
Mood-Based Music Recommendation
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.
Student Performance Prediction
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.
Zomato Cuisine Clustering for Recommendations
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.
Anomaly Detection in Ride Fares
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.
Apple iPhone Defect Detection Using CNN
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.
Autonomous Driving Vision System
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.
Personalized Virtual Assistant
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.
Advanced Language Enhancement Tool
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.
Automated Code Generation AI
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.
Image Synthesis for Google Photos
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.
Email Categorization Tool
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.
Network Utilization Dashboard for Infrastructure Planning
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
Credit Risk Assessment Using Probability and Statistics
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.
Optimizing Hospital Resource Allocation with Linear Algebra and Calculus
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.
Mood-Based Music Recommendation
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.
Student Performance Prediction
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.
Zomato Cuisine Clustering for Recommendations
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.
Anomaly Detection in Ride Fares
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.
Apple iPhone Defect Detection Using CNN
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.
Autonomous Driving Vision System
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.
Personalized Virtual Assistant
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.
Advanced Language Enhancement Tool
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.
Automated Code Generation AI
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.
Image Synthesis for Google Photos
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.
Foundation
of Every Bosscoder Success StoryYour journey from learning to landing a Data Scientist role, we guide you at every step.
Learn Directly from Industry Experts & Get Real-time Guidance
Built to match real tech roles.
Rigorous interview preparation & regular contests.
Personalized placement guidance
End-to-end job prep support


Frequently Asked Questions
Program
What is a Data Science and Machine Learning Program?
The Data Science and Machine Learning Program is an upskilling course provided by Bosscoder Academy. This course is designed to cater to Tech professionals who have been working in service-based companies and want to switch to product-based companies in the role of Data Scientist. In this course, we will be providing you with
- Data Fundamentals and Visualization Techniques
- Specialization in Advanced ML
- Industry-relevant Projects
- Weekly Tests
- Placement Guidance
To know more about this program, please contact our program specialists.
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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