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Learn Data Science With R Part 2 of 10

Loops and Functions
0.0
☆☆☆☆☆ 0.0/5
(0 reviews)
8 students
Created by
Ram Reddy

5.9

CourseMarks Score®

4.2

Freshness

N/A

Feedback

7.2

Content

Detailed Analysis »

Loops and Functions
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Platform: Udemy
Price: check current price
Video: 5h 20m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

5.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

4.2 / 10
This course was last updated on 8/2017.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

We analyzed factors such as the rating (0.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.2 / 10
Video Score: 8.4 / 10
The course includes 5h 20m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 00 minutes of 161 R courses on Udemy.
Detail Score: 7.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

  What you'll learn
  Requirements
  Who this course is for
FAQ
  Price
  Refund policy
  Scholarships
Instructor
Recommended courses

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 

You will learn

✓ Graphs

Requirements

• Complete My course Learn Data Science With R Part 1 of 10

This course is for

• Data scientist with basic R idea

How much does the Learn Data Science With R Part 2 of 10 course cost? Is it worth it?

The course costs $19.99.
The average price is $18.7 of 161 R courses. So this course is 7% more expensive than the average R course on Udemy.

Does the Learn Data Science With R Part 2 of 10 course have a money back guarantee or refund policy?

YES, Learn Data Science With R Part 2 of 10 has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

At the moment we could not find an available scholarship for Learn Data Science With R Part 2 of 10.

Who is the instructor? Is Ram Reddy a SCAM or a TRUSTED instructor?

Ram Reddy has created 7 courses that got 57 reviews which are generally positive. Ram Reddy has taught 3,151 students and received a 4.2 average review out of 57 reviews. Depending on the information available, Ram Reddy is a TRUSTED instructor.

More info about the instructor,

Ram Reddy

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
Browse all courses by on Coursemarks.
Ram Reddy's full profile and courses »
Go to class »

5.9

CourseMarks Score®

4.2

Freshness

N/A

Feedback

7.2

Content

Detailed Analysis »

Loops and Functions
Go to class »
Platform: Udemy
Price: check current price
Video: 5h 20m
Language: English
Next start: On Demand

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