Data Science Tutorials

Git and GitHub - a complete startup guide for a beginner

  • 2018-04-11
  • Comments
  • Karthik Janar
  • 198

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
  • 198

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
  • 198

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
  • 198

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. i want to SCJP exam ,tell how to apply for this ex
View Tutorial          By: PRABAKARAN at 2013-07-16 13:32:50

2. can any body explain me how to execute the program
View Tutorial          By: nikhil at 2009-06-04 23:56:11

3. well understood
View Tutorial          By: shanthini at 2014-04-07 17:19:20

4. thanks for he info, was looking everywhere for som
View Tutorial          By: John at 2011-05-16 11:28:54

5. hi

im trying to run this project an

View Tutorial          By: VoyRufino at 2010-01-26 10:03:11

6. Hello all,
Please help me out. I want to cr

View Tutorial          By: Richa Bhatia at 2009-12-07 22:55:54

7. what about asp.net?
View Tutorial          By: tradeready at 2009-05-06 03:04:20

8. Hi,

I tried use this code:
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View Tutorial          By: Yanosh at 2009-07-16 05:19:38

9. HI . i got the following exception while start up
View Tutorial          By: Ramesh at 2011-02-01 00:14:14

10. The DirSync sync intervals can be changed.

View Tutorial          By: Nitin at 2012-12-22 16:20:38