Data Science Tutorials

Git and GitHub - a complete startup guide for a beginner

  • 2018-04-11
  • Comments
  • Karthik Janar
  • 151

For anyone who is serious about doing any work with computers needs to understand some basic concept of files and folders and some understanding of command line interface and commands. It is essential to have some hands on to use CLI. Furthermore if you are interested in doing programming or analytics then version control becomes very important. Git and GitHub provide very good toolset to create, maintain and manage your files and folders and their versions as well as share them with others.
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What are the different types of Analysis a Data Scientist would do?

  • 2018-04-12
  • Comments
  • Karthik Janar
  • 145

This tutorial discusses some basic concepts of Data Science. Data Scientist's Job always starts with a question that needs to be answered. There are few different kinds of questions a data scientist would ask which defines the goal of the analysis. It starts with descriptive, and then it goes to exploratory, inferential, predictive, causal, and mechanistic
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Data Analytics - Which programming language to learn. R vs Python

  • 2017-09-24
  • Comments
  • Ashley J
  • 143

Often people ask which one is better to learn? R or Python. Python is better for for data manipulation and repeated tasks, while R is good for ad hoc analysis and exploring datasets. For example, take text analysis, where you want to deconstruct paragraphs into words or phrases and then identify patterns. In this use case R is better suited and makes it simple. On the other hand, take for example, pulling the data, to running automated analyses over and over, to producing visualizations like maps and charts from the results then Python is better suited.
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Overview and History of R

  • 2018-04-12
  • Comments
  • Karthik Janar
  • 146

In the world of data science, two popular programming languages are used today. R and Python. For a good comparison of R and Python read this tutorial. Personally I prefer R over Python because of its rich set of freely available packages and its visualization capabilities. R is based on an older language named S. S was originally developed at Bell Labs by John Chambers in 1976 as an internal statistical analysis environment using fortran libraries. In 1988 it was rewritten in C.
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Basic Building Blocks of R

What are the different types of Analysis a Data Scientist would do?

Overview and History of R

Git and GitHub - a complete startup guide for a beginner

Data Analytics - Which programming language to learn. R vs Python

Archived Comments

1. can any beginners can try creating web pages

View Tutorial          By: jo at 2015-07-28 19:35:11

2. Dudes

I used the abov

View Tutorial          By: Nithin p at 2013-01-06 06:54:33

3. Of course you can use this in a web application. A
View Tutorial          By: Ramlak at 2008-09-17 08:24:21

4. I'm coding a webservice and this is exactly what I
View Tutorial          By: Cristian at 2014-11-14 12:52:34

5. Hi

Where puts this code in ror app

View Tutorial          By: martin at 2013-01-31 08:51:12

6. I'm a beginner, and I was told it is a good practi
View Tutorial          By: Nelson at 2009-08-17 09:13:28

7. Dear Gurus, I have arrived at your site lloking f
View Tutorial          By: Fred Mah at 2012-09-22 07:40:27

8. thanks happy to see such a site about java!
View Tutorial          By: nnnmore at 2007-03-16 06:29:20

9. What happens if applied to an integer array?
View Tutorial          By: SHUVO at 2015-07-01 21:14:16

10. I am trying to execute the same code but still una
View Tutorial          By: Sona at 2015-06-11 18:35:13