DATA SCIENCE COURSE
Transition to Data Science Role with Bosscoder's Data Science and Machine Learning Course.

Live
Interactive Sessions
1:1 Mentorship
With Top Data Scientists
10+
Industry relevant projects
12-15hr/week
Time Commitment
Live
Interactive Sessions
1:1 Mentorship
With Top Data Scientists
10+
Industry relevant projects
12-15hr/week
Time Commitment
Join Bosscoder’s successful Alumni Network working in top tech companies























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Industry Relevant Curriculum for Smooth Transition to Data Science
Bosscoder’s curriculum focuses on a structured path of learning with latest tools and technologies.
-
Duration:
Topics that will be covered:
Outcome
USPs of our Delivery
Start your Data Science journey in just per month

What our Learners have to say?
Get to know how Bosscoder has helped students upskill & land in their Dream Company.

Arun V.S


Ashish Johnson


Vamsi Kesav


Pulkit Gupta


Chaitanya Bhagat


Udit Sharma


Himanshu Bhaware


Ananda


Arun V.S


Ashish Johnson


Vamsi Kesav


Pulkit Gupta


Chaitanya Bhagat


Udit Sharma


Himanshu Bhaware


Ananda


Arun V.S


Ashish Johnson


Vamsi Kesav

Master Concepts with Instructors & Mentors from Top Tech Companies
Bosscoder offers mentorship sessions with Experts working in Top Product Based Companies to help you crack interviews.
Become a skilled
Data Scientist
ML Engineer
Data Analyst
Applied Scientist
Sr. Data Scientist
Average Bosscoder Salary
24-26 Lakhs
Highest Salary after Bosscoder
86 Lakhs
Step into Data Science the Bosscoder Way!

Step into Data Science the Bosscoder Way!

24x7 Doubt Support
Ask questions anytime from our experts

Mock Interviews
Give mock interviews to sharpen your interview skills

Resume & CV Building
Build your resume the right way!

Lifetime Placement Assistance
Get lifetime placement assistance from experts
10+ Real Data Projects!
Work on projects based on real-world scenarios
#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.
Tools and Technologies Covered

















Get Certified in Data Science
Post complementation you will receive a verifiable certificate from Microsoft Azure.

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