4.6 (38 Ratings)
Data Science is the field of study that combines domain expertise, programming skills, and knowledge of maths and statistics to extract meaningful insights from data.
The way companies/organizations take crucial business decisions is changing with Data Science. We are moving from intuition-based decision-making to data-driven decisions. Data Science integrates traditional data analytics with state-of-the-art Machine Learning and Deep Learning techniques (predictive analytics) to make better decisions with lower risk.
Examples of Data Science applications:
Â· YouTube - Uses Data Science and Machine Learning to recommend videos based on users watching preferences
Â· Netflix - Mines user viewing patterns to understand what drives user interest and uses it to make decisions to produce Original New series.
Â· Google - Google search is another good example of predictive analytics
What you will learn from the course -
Â· Master Data Science with Python & R
Â· Possess a great intuition of many Machine Learning models
Â· Make accurate predictions
Â· Make powerful analysis
Â· Make robust Machine Learning models
Â· Create strong added value to your business
Â· Use Machine Learning for personal purpose
Â· Handle specific topics like Reinforcement Learning, NLP, and Deep Learning
Understand which Data Science model to choose for each type
Â· Build an army of powerful Machine Learning models and know-how to combine them to solve any problem
Â· People interested in Machine Learning.
Â· Students who have at least high school knowledge in math and who wants to pursue Machine Learning.
Â· Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who wants to learn more about it and explore all the different fields of Machine Learning.
Â· Any person who is not that comfortable with coding but is interested in Machine Learning and wants to apply it easily on datasets.
Â· College students who want to start a career in Data Science.
Â· Data analysts who want to level up in Machine Learning.
Â· Any person who is not satisfied with their job and who want to become a Data Scientist.
Â· Anyone who wants to create added value to their business by using powerful Machine Learning tools.
Equip your systems with the following configurations:
1. Hardware and Software requirement: Laptop / Desktop
2. Processor: Dual Core 2Ghz or Higher (Processor i3 / i5 / i7 or AMD equivalent)
3. RAM 4Gb ( Preferable 8 GB)
4. Latest Version of Browsers viz. Google Chrome, Firefox
5. Operating System: Min. Windows 7; Mac OS X 10.7+
6. Internet Connection with 4 Mbps
7. Internet Explorer not recommended
8. Speakers and a Microphone built-in or USB plug-in or wireless Bluetooth
9. A webcam or HD webcam for Desktop / Laptop with integrated webcam