What is Data Science?
Data science is a combination of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which can help us in finding out the hidden insights or patterns from raw data to get better business decisions and understanding.
Why Data Science?
•With the amount of data that is being generated and the evolution in the field of Analytics, Data Science has turned out to be a necessity for companies.
•To make most out of their data, companies from all domains, be it Finance, Marketing, Retail, IT or Bank. All are looking for Data Scientists.
•This has led to a huge demand for Data Scientists all over the globe. With the kind of salary that a company has to offer.
IBM is declaring it as trending job of 21st century, it is a lucrative job for many. This field is such that anyone from any background can make a career as a Data Scientist
Prerequisite for Learning Data Science
•A Passion to learn
•A curios Mind to Explore
•A Introductory Knowledge of Data Science
•A PC/Laptop with internet Connection
•Pre-University And Above
Duration : 25 Hours
Data Analysis With Python
Importing Data Sets
Exploratory Data Analysis
Data Visualization With Python
Introduction To Data Visualization Tools
Basic And Advanced Visualization tools
Advanced Visualization and Geospatial Data
Machine Learning With Python
Introduction to Machine Learning
Types Of Machine Learning Models
A Deep Understanding Of Data Science
Knowledge About Data Wrangling And Analysis
Ability To Do Advance Visualization Using Python
Use Machine Learning Techniques And Apply
Ability To Model And Evaluate Data