Learn Data Science With R Part 2 of 10
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Learn Data Science With R Part 2 of 10

Loops and Functions
New
0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
5 students enrolled
Created by Ram Reddy
Last updated 8/2017
English
Price: $200
30-Day Money-Back Guarantee
Includes:
  • 5.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Graphs
View Curriculum
Requirements
  • Complete My course Learn Data Science With R Part 1 of 10
Description

Data Science Tutorial Part 11 Import from Oracle DB Part 2

Data Science Tutorial Part 12 Write Data to Files

Data Science Tutorial Part 13 loops

Data Science Tutorial Part 14 Functions

Data Science Tutorial Part 15 lapply sapply and vapply  Functions

In these sessions you will learn how to import data from oracle data base. and write dat to files.

you will get good hands on experience on if ,if else,while,for,repeat loops

you will also learn system defined functions and write custom functions 

Who is the target audience?
  • Data scientist with basic R idea
Compare to Other Data Science Courses
Curriculum For This Course
5 Lectures
05:20:34
+
Loops and Functions
5 Lectures 05:20:34

Data Science Tutorial Part 12 Write Data to Files
01:08:12

Data Science Tutorial Part 13 loops
01:00:42

Data Science Tutorial Part 14 Functions
01:12:47

Data Science Tutorial Part 15 lapply sapply and vapply Functions
01:00:24
About the Instructor
Ram Reddy
4.4 Average rating
57 Reviews
5,039 Students
9 Courses
Data Scientist

Data scientist and founder of RRITEC, a company dedicated to helping scientists better understand and visualize their data. Ram Has hands-on exposure to a wide variety of datasets has informed him of the many problems scientists face when trying to visualize their data.

Some of the main roles are 

Develop and improve robust predictive algorithms that are the core of the product 

Combine an understanding of business goals with data analysis and machine learning 

Investigate new data sources; acquire, analyze, clean and structure data 

Utilize state of the art machine learning techniques to improve and expand existing models