Data Science Foundation using R Programming

Speaker:  Kayal Padmanandam – Hyderabad, India
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science


Data science is a multifaceted research domain that uses scientific methods, processes, algorithms, and systems to dredge knowledge and insights from structured and unstructured data. This session will help the listeners to understand Data Science with the assistance of instances and the most used programming language R. R is a programming environment for Data and Statistical Analytics and it is now globally considered as the most popular analytic tool, which has users range from 250000 to over 2 million. This session has been thoughtfully designed with the objective that the learners should learn the most happening and enduring technology. 
Topics covered in the lecture:
The need for Data Science
Differentiate Business Intelligence (BI) and Data Analysis
The lifecycle of a Data Scientist
Fundamental Data Analytics and Data Science exposure with R.
Master R programming with different data structures
Familiarity with various apply() functions and dply() functions
Data visualization using R
Understand and apply Hypothesis to drive decisions 

About this Lecture

Number of Slides:  60
Duration:  120 minutes
Languages Available:  English
Last Updated: 

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