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DataScience

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Programming with Python

Motivation In order to do proper hands-on with a new language, it’s important to understand each part of it by applying live examples. Hence its syntax fully clear. Let’s start by playing with functions; Functions Simply create an add_numbers a function that takes two numbers and adds them together; add_numbers updated to take an optional…

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JumpStart Programming with Python 3

Motivation; Well, if you want to play with data and deal with complex analytics problems then Python is the best for you. We can use Python for developing complex scientific and numeric apps. Python is designed with features to facilitate data analysis and visualization. The syntax in Python helps the programmers to do coding in fewer steps as…

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Understanding of Data Science Methodology

Motivation: It’s all about the different methods used in data science. Data Science Methodology: There is the following methodology used in data science which can further categories into different phases; From Problem to Approach Business Understanding Analytical Approach Working with Data Data Requirements Data Collection Data Understanding Data Preparation Deriving the Answer Modeling Evaluation Development Feedback…

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