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Thrive in a vibrant learning environment with live classes that foster interaction and immersive learning
Dive deep with a meticulously crafted curriculum that navigates the realms of data science with precision and clarity.
Immerse yourself with tasks, quizzes, and projects following each topic, ensuring that theory marries practice seamlessly.
Experience the comfort of learning in Hinglish, making complex concepts seem like a friendly chat.
Erase uncertainties with robust doubt support, turning every question into a stepping stone toward mastery.
Elevate your expertise with real-time projects that propel your practical understanding into the professional universe.
Unlock a treasure trove of knowledge without breaking the bank, with fees that champion affordability and value.
The entire course is divided into 10 modules
Enhancing user music discovery on Spotify through a hybrid recommender system that combines collaborative and content-based filtering techniques.
Empowering Chrome users to gauge the sentiment of YouTube comments instantly with a plugin, utilizing natural language processing techniques.
Predicting Uber ride demand using historical data and machine learning, enabling efficient allocation of resources and improved rider experience.
Utilizing data analysis & machine learning to accurately predict real estate prices, aiding buyers and sellers in making informed decisions.
Leveraging machine learning to predict rare diseases from clinical data, employing techniques to manage unbalanced datasets for enhanced predictive accuracy.
Enhancing Swiggy’s customer experience by employing data science & machine learning to accurately predict and optimize food delivery times.
Jupyter Notebook
Pandas
Scikit Learn
Plotly
Flask
Streamlit
MySQL
Tableau
Amazon Web Services
Git & GitHub
Docker
Jenkins CI/CD Pipelines
One-on-one doubt clearance over Zoom call
Discord server for paid members
Doubt clearance after live classes
On-demand doubt clearance classes on difficult topics
Past batch students rated our doubt support 9.24 out of 10.
Dedicated interview prep of the 200 most important interview questions.
Dedicated sessions on resume building, LinkedIn branding, etc.
Guest lectures by people from the industry each month.
Out of 10 was the average rating for the quality of lectures in DSMP 1.0
students said the course delivered more than what was charged.
students felt an improvement in their skills and knowledge
percent students said they would like to do another course with us.
"CampusX DSMP 2.0 is a game-changer! Live sessions, extensive content, and job prep module for just Rs 10,600 – unbeatable value."
"Impressive! DSMP 2.0 offers 500+ hours of quality content and 5 case studies. A great investment for aspiring data scientists."
"DSMP 2.0 provides a comprehensive data science mentorship with 3 years of validity – perfect for long-term career planning."
"Outstanding value for money! This program offers 5 case studies and job preparation support at an affordable price.
Rs5600
Course Validity - till Feb 2025
Total content - 300+ Hours
Live Classes - No
Doubt Support - Over Email
Total Case Studies - One
Dedicated Interview Prep - No
MLOPs + Advanced ML - No
Rs10,600
Course Validity- 3 Years from the date of purchase
Total content - 500+ Hours
Live Classes - Yes
Doubt Support - One-on-One Zoom Call
Total Case Studies - Five
Dedicated Interview Prep - Yes
MLOPs + Advanced ML - Yes
The duration of the course would be 6-8 months.
No, NLP and Deep Learning both are not a part of this program’s curriculum.
Yes all our sessions are recorded, so even if you miss a session you can go back and watch the recording.
Roughly, all the sessions last 2 hours.
Hinglish
You will get a mail from our side before every paid session once you become a paid user.
Yes, absolutely.
No, this is not a placement guarantee program.
Hi, my name is Nitish. I am an educational content creator on YouTube with 130K+ Subscribers in the domain of Data Science. I have been in the tech industry for the past 10 years and taught more than 50,000 students offline. I am passionate about data and take pride in creating content that simplifies complex topics.