Summary
Note - Data Science Master Course also includes Machine Learning Master Course.
Data Science is one of the hottest fields of the 21st century. It is in high demand across the globe with bigwigs like Amazon, Google, Microsoft paying handsome salaries and perks to data scientists. This course provides you with a great kick-start in your data science journey by starting with Python Basics, Data Visualization, Data Scraping, Building Web Scrappers using Scrapy, Data Cleaning and applying various machine learning algorithms like Linear Regression, Logistic Regression, Decision Trees, Naive Bayes, Principal Component Analysis, Feature Engineering, T-SNE Visualizations, Deep Learning & Reinforcement Learning for video games. The complete course is very practical and makes sure you do sufficient hands-on practice on the concepts taught by solving assignments and challenges.
Course Highlights
- Python Basics
- Data Science Pipeline
- Data Acquisition & Analysis
- Web Scrapping, Google API, FacebookAPI
- Scrapy, Beautiful Soup
- Data Cleaning & Visualization
- Machine Learning from scratch
- Supervised Learning
- Unsupervised Learning
- Deep Learning for Vision
- Deep Learning for NLP
- Frameworks - Numpy, Pandas, Sci-kit, Keras, Matplotlib, Scrapy, BeautifulSoup etc.
- Expert Doubt Support for 6 months (only for Premium version)
| Machine Learning Fundamentals | Deep Learning Fundamentals | Machine Learning Master | Data Science Master | |
|---|---|---|---|---|
| Python Basics | ❌ | ❌ | ✅ | ✅ |
| Python For Data Science | ❌ | ❌ | ✅ | ✅ |
| Data Acquisition | ❌ | ❌ | ❌ | ✅ |
| Web APIs/ Scrapping | ❌ | ❌ | ❌ | ✅ |
| Machine Learning Algorithms | ✅ | ❌ | ✅ | ✅ |
| Deep Learning Algorithms | ❌ | ✅ | ✅ | ✅ |
| Model Deployment | âś… | âś… | âś… | âś… |
| Quizzes | âś… | âś… | âś… | âś… |
| Assignments/Challenges | âś… | âś… | âś… | âś… |
| Mini Projects | 10 ML Projects | 10 DL Projects | 18 ML + DL Projects | 20 Data Science Projects |
| Major Projects | 1 Capstone Project | 2 Capstone Projects | 2 Capstone Projects | 2 Capstone Projects |
| Pre-requisties | Python Programming | Python, ML Basics | Programming Basics | Programming Basics |
| Time Required | 2-3 Months | 2-3 Months | 4-5 Months | 4-5 Months |
Bonus - Reinforcement Learning for Video Games
Course Pre-requisites
There are no pre-requisites to join the course. Familiarity and ability to write code in any programming language is a must.
Career Aspects
After completing this course, you can apply for the following roles -
- Data Science Engineer
- Data Analysis Engineer
- Machine Learning Engineer
- Deep Learning Engineer
- Data Scientist
Course Content
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Currently doing his Masters in Machine Learning from IIT Delhi, Prateek is an ace programmer who has worked with SanDisk and HackerEarth in the past. He has also won prestigious hackathons including Google’s Code For India and Smart City Hackathon. A Computer Science Graduate from DTU, he is highly popular among students for his teaching methods. His interactive CV (www.prateeknarang.com) is also well known in 120+ countries.
Manu is a Deep Learning Researcher and an avid python programmer. He has multiple research papers published in international conferences and journals. His interest lies in Computer Vision and is currently doing independant research in the same domain. He has also won multiple hackathons including Smart Odisha Hackathon and was awarded by the Chief Minister ot Odisha, Shri Naveen Patnaik. He can be found at www.manuspillai.in.
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