4.6 (38 Ratings)
250
3 months
Data Science is the
field of study that combines domain expertise, programming skills, and
knowledge of math 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 take better decisions
with lower risk.
Examples of Data Science applications:
·
YouTube – Uses Data Science and Machine Learning to recommend
videos based on users watching preferences
·
Netflix – Mines user viewing patterns to understand what drives
user interest and uses it to make decisions to produce Original New series.
·
Google – Google search is another good example of predictive
analytics
What
you will learn from the course -
·
Master Data Science with Python & R
·
Possess a great intuition of many Machine Learning models
·
Make accurate predictions
·
Make powerful analysis
·
Make robust Machine Learning models
·
Create strong added value to your business
·
Use Machine Learning for personal purpose
·
Handle specific topics like Reinforcement Learning, NLP and Deep
Learning
Understand which Data Science model to choose for each type
of problem
· Build an army of powerful Machine Learning models and know how
to combine them to solve any problem
Target Audience
·
People interested in Machine Learning.
·
Students who have at least high school knowledge in math and who
wants to pursue Machine Learning.
·
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.
·
Any person who is not that comfortable with coding but is
interested in Machine Learning and wants to apply it easily on datasets.
·
College students who want to start a career in Data Science.
·
Data analysts who want to level up in Machine Learning.
·
Any person who is not satisfied with their job and who want to
become a Data Scientist.
·
Anyone who wants to create added value to their business by
using powerful Machine Learning tools.
Technical
Requirement
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