Data Science for Complete Beginners

A Clear and simple description of what really is data science

How Data Science is applied in the real world

Technical and Non-technical requirements for venturing into Data science

Possible jobs one can get when he/she has learned data science

A general description of the day to day life of a data scientist

Data Science and Machine Learning Algorithms used in Data Science

Installing the main software for data science in python. Python and Anaconda

Basic Building Blocks of any programming language - Variables

Learn how to work with different operators in Python

Working with data structures such as list, sets, tuples and dictionaries

How to work with python strings and applying different string functions

How to work with python control structures such as if statement, for and the while statements

How to create and manipulate functions in Python

Applying object-oriented programming in python

How to perform different functions such as writing, reading, and appending on files using python programming language

Python package for scientific and numerical calculation

Learn how to work with data in Data science, changing data structure and removing errors

Learn how to perform data visualization using graphs and different visualization techniques

Installing packages and data for the project

Removing data errors, anomalies and transforming data in order to improve model accuracy

Determining the variables for model building, dividing the data into training set and testing set etc.

Build the actual model based on the training data set

conclusion and recommendation