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R Programming 2022:Ninja Course With 5 Real World Projects!

Complete Beginner to Expert Guide with detailed theory, challenges,Case Studies and Projects .Many courses in one!!
4.5
4.5/5
(56 reviews)
421 students
Created by

9.7

CourseMarks Score®

10.0

Freshness

8.8

Feedback

9.7

Content

Platform: Udemy
Video: 22h 15m
Language: English
Next start: On Demand

Top R (programming language) courses:

Detailed Analysis

CourseMarks Score®

9.7 / 10

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

Freshness Score

10.0 / 10
This course was last updated on 1/2022.

Course content can become outdated quite quickly.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

8.8 / 10
We analyzed factors such as the rating (4.5/5) 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

9.7 / 10
Video Score: 10.0 / 10
The course includes 22h 15m 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.
Detail Score: 9.7 / 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: 9.5 / 10

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

This course contains:

0 article.
14 resources.
0 exercise.
0 test.

Table of contents

Description

Data Science and Analytics is a highly rewarding career that allows you to solve some of the world’s most interesting problems. The field of data science has exploded in the past two decades and shows no signs of stopping any time soon. Many big or small businesses and companies wish to make use of the insights gained through the big data.
Due to its open-source nature and its extreme versatility, R has become the primary tool for statistical analysis and data science. With the industry facing a shortage of data scientists all over the world, both novice and professional R programmers can enter. R community represents the cutting-edge in the field of data science.
This course is made to give you all the required knowledge at the beginning of your journey, so that you don’t have to go back and look at the topics again at any other place. This course is the ultimate destination with all the knowledge, tips and trick you would require to start your career.
This course provides Full-fledged knowledge of R, we cover it all.
Our exotic journey will include the concepts of:
•What’s and Why’s of R programming Language – Understanding the need for Statistics, difference between Population and Samples, various Sampling Techniques.
•Core knowledge for DataTypes.
•String Manipulation and handling using Stringr Package
•Data Structures (Vectors, Matrices, Arrays, List)
•Loops and Conditions and Functions for programming skills in R.
•Dataframes explained in detail and perspective for Data Analysis Process and Concepts.
•Most importantly Data Transformations have been covered to make you comfortable with how data should be handled and transformed for analysis.
•Date Time Module helps to understand and handle date and time in R.
•Descriptive Statistics allows to explore the data summaries for statistics.
•Data Visualization using GGPLOT2 used for simple and complex visual analysis.
•All the modules include practice questions and case studies to give you idea on the real world problems and enhancing problem solving skills.
•5 Projects allow you to perform analysis on datasets with scope for further exploring and enhancing skills while building confidence.

You will learn

✓ R Programming
✓ R Datatypes
✓ R Data Structures
✓ Vectors, Matrices, Arrays, Lists
✓ Data analysis
✓ Data Visualization using GGPLOT2
✓ Case Studies on Data analysis using R
✓ Projects on Data analysis using R
✓ Data Cleaning
✓ Data Transformations using tidyr, Dplyr
✓ String Manipulations using Stringr
✓ Handling Date and Time using Lubridate
✓ Projects on Data Visualization using R

Requirements

• None

This course is for

• Beginner
• Intermediate
• Advanced

How much does the R Programming 2022:Ninja Course With 5 Real World Projects! course cost? Is it worth it?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.

Does the R Programming 2022:Ninja Course With 5 Real World Projects! course have a money back guarantee or refund policy?

YES, R Programming 2022:Ninja Course With 5 Real World Projects! 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?

Currently we could not find a scholarship for the R Programming 2022:Ninja Course With 5 Real World Projects! course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who is the instructor? Is MG Analytics a SCAM or a TRUSTED instructor?

MG Analytics has created 3 courses that got 367 reviews which are generally positive. MG Analytics has taught 3,499 students and received a 4.5 average review out of 367 reviews. Depending on the information available, MG Analytics is a TRUSTED instructor.
Data Scientist and Professional Trainer
I have done B.tech in Computer Science Engineering and 10 + years of experience as a professional instructor and trainer for Data Science and programming. During the course of my career I have developed a skill set in analyzing data and I love sharing my knowledge to help other people learn the power of programming, the ability to analyze data, as well as present the data in clear and beautiful visualizations.I am a Data Scientist and have experience in python, Deep learning, NLP and Big Data. I provide in-person data science, Machine Learning and Deep Learning training to Data science enthusiasts with 0 to 30+ years of Experience. I believe in learning by doing, hence all of my courses will give an in-depth knowledge of concepts followed by detailed explanations of codes, tips and tricks which I have learnt over years. The sample problems and examples will allow you to explore more and give you enough practice to gain confidence at each and every concept. I am here to help you stay on the cutting edge of Data Science and Technology.To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!Show moreShow less

9.7

CourseMarks Score®

10.0

Freshness

8.8

Feedback

9.7

Content

Platform: Udemy
Video: 22h 15m
Language: English
Next start: On Demand

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