Key Ingredients for Data Science Recipe

Despite of being the sexiest job of the 21st Century, considering to be for two or more decades. Data Science is the best combination of scientific process and methods, implemented by algorithms for extracting the insight knowledge of data in various forms, structured or unstructured or both. Data Science is the unified phenomenon of statistics, data analyzing with machine learning and other related methods.One may know that R language and python is considerable for these skills. But they might not aware of the basic component of a data scientist.

What is data science? Why you need it?
Data Science is the technical omniscience which could be implemented after the extraction of unstructured or structured data form or both. Moreover, data science is likely to be analyzed better before computing. Example-It could be real-time example as well, How we create excel sheets in our day to day life after data extraction to get it in an organized manner.

What skills it is likely to cover? What you need it for this?
Getting ready for a job like data scientist or data analyst, all you need to develop his hacker mindset by enhancing the problem solving skills. One should be more curious about the data, strategies and passionate about the business and analytics. The more they chase towards the innovative and creative means, the more they get. Like the thirst makes your way to an oasis and dry mouth will ever found the ocean for you . After all, necessity is the mother of inventions.

A modern data scientist with his skill ranging.

Lets get started with fundamentals
Python
R Language
Machine Learning and Deep Learning
Statistics
Database Management
Data Optimization
Linear Algebra
Regression and Logistic Regression
Classification using K means Clustering

Week 0 Fundamentals for R language
It will be comprises of introduction to the language and mathematical foundations, first level of algorithm, R codes of development and its applications.

Stay connected for the next article for Week 0, from the basics to new extent level of learning. Happy learning.