Top 5 Python Libraries for Data Visualization

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Data visualization is a pictorial or graphical format of the presentation of data. This graphical representation helps  decision makers to see analytics presented visually. So, they can get difficult concepts and identify new patterns easily form the data. On the other way interactive data visualization helps to drill down into charts and graphs to get  more details and finding insights very […]

15 Popular Python Libraries for Data Science and Analytics – 2017

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In the past few years, Python has gained a lot of attraction in Data Science industry. Some of its most useful libraries make Python extremely useful for working with data. As a result, Python tops 2017’s most popular programming Languages. In this post I want to outline some of its most useful libraries for data scientists and machine learning engineers. […]

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

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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 […]

How to Set up your Python Environment for Data Analysis

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Python is a programming language, and for Learning Data Science with Python, you’ll be writing your Python code in the programming environment called Spyder. The Anaconda distribution simplifies the installation process by including Python, Spyder, and other packages and tools in one installation file. It contains the core Python language, as well as all of the essential libraries including NumPy, Pandas, […]

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 […]