20 Most Popular R packages

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R offers multiple packages for performing data analysis. Apart from providing an awesome interface for statistical analysis, the next best thing about R is the endless support it gets from developers and data science maestros from all over the world. Currently, the CRAN Package repository features 11349 available packages. But the question is which packages are the most popular packages used […]

Making Data Management Decisions | Your Second Program

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This example is almost similar to the previous example.  Here, I will show some basics of  Data Analysis and Data Engineering.  Setting aside missing data, coding valid data and recoding values, creating secondary variables, Grouping values within individual variables  helps you to make and implement even more decisions with data. Statisticians often call this task ‘data management’, while data scientists like the term […]

Data Management and Visualization | Running Your First Program

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In this example, I will show some basics of  Data Analysis and Data Engineering.  Setting aside missing data, coding valid data and recoding values, creating secondary variables, Grouping values within individual variables  helps you to make and implement even more decisions with data. Statisticians often call this task ‘data management’, while data scientists like the term ‘data munging’. Download the code  Open […]

Step1 : Define a Question and Getting Your Data Science Project Started

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A typical data science project will be structured in mainly five different phases. Read: Structure of a Data Science Project | Different Phases in Data Science Project The first phase is always the most important phase, and that’s the phase where you ask the question and you specify what is it that you’re interested in learning from data.I would like […]

Download and Learn about Gapminder Dataset

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For the purpose of Data Science with Python tutorial, I would like to work with a data set called Gapminder and I will provide some sample python codes for learning data analysis fundamentals. This portion of the GapMinder data includes one year of numerous country-level indicators of health, wealth and development.   Download GapMinder Data Set : gapminder.csv   Visit http://www.gapminder.org for more information GapMinder Founded in Stockholm by […]

Structure of a Data Science Project | Different Phases in Data Science Project

Posted on Leave a commentPosted in Data Science, Data Science with Python

A typical data science project will be structured in a few different phases. There’s roughly five different phases that we can think about in a data science project. Phase 1: Defining A Question The first phase is the most important phase, and that’s the phase where you ask the question and you specify what is it that you’re interested in […]

Popular Python Libraries for Data Analysis

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Python is a general purpose language and is often used for things other than data analysis and data science. What makes Python extremely useful for working with data? There are libraries that give users the necessary functionality when crunching data. Below are the major Python libraries that are used for working with data. You should take some time to familiarize […]

Why Learn Python as a Data Analytics Tool?

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Python’s ecosystem has grown dramatically in recent years, making it more capable of the statistical analysis. Python is intuitive and easier to learn than R. In the recent years, Python is one of the most popular languages for Data Science and Analytics. As it is widely used for data analysis and you might have considered learning it yourself. See why […]

The Most Popular Languages for Data Science and Analytics – 2017

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Because this post is about most popular languages for data science, it might be reasonable to first ask, “What is data science?”. Most people are creating hype around data science that data science have focused on the first word: data. They always care about volume and velocity and whatever other buzzwords describe data that is too big for you to […]