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Understanding New Data – Exploratory Analysis in R

Learn how to use R to quickly understand and analyze new data and start your data analysis projects with ease
4.0
4.0/5
(1 reviews)
53 students
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8.9

CourseMarks Score®

9.9

Freshness

7.1

Feedback

9.2

Content

Platform: Udemy
Price: $11.99
Video: 6h 52m
Language: English
Next start: On Demand

Top Data Analysis courses:

Detailed Analysis

CourseMarks Score®

8.9 / 10

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

Freshness Score

9.9 / 10
This course was last updated on 3/2021.

Course content can become outdated quite quickly.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

7.1 / 10
We analyzed factors such as the rating (4.0/5) 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

9.2 / 10
Video Score: 8.6 / 10
The course includes 6h 52m 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 5 hours 32 minutes of 234 Data Analysis courses on Udemy.
Detail Score: 9.6 / 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.
6 resources.
0 exercise.
0 test.

Table of contents

Description

•Are you new to R and data analysis?
•Do you ever struggle starting an analysis with a new dataset?
•Do you have problems getting the data into shape and selecting the right tools to work with?
•Have you ever wondered if a dataset had the information you were interested in and if it was worth the effort?
If some of these questions occurred to you, then this program might be a good start to set you up on your data analysis journey. Actually, these were the question I had in mind when I designed the curriculum of this course. As you can see below, the curriculum is divided into three main sections. Although this course doesn’t have a focus on the basic concepts of statistics, some of the most important concepts are covered in the first section of the course.
The two other sections have their focus on the initial and the exploratory data analysis phases respectively. Initial data analysis (or IDA for short) is where we clean and shape the data into a form suitable for the planned methods. This is also where we make sure the data makes sense from a statistical point of view. In the IDA section I present tools and methods that will help you figure out if the data was collected properly and if it is worthy of being analyzed.
On the other hand, the exploratory data analysis (EDA) section offers techniques to find out if the data can answer your analytical questions, or in other words, if the data has a relevant story to tell. This will spare you from investing time and effort into a project that will not deliver the results you hoped for. In an ideal case the results of EDA may confirm that the planned analysis is worth it and that there are insights to be gained from that dataset and project.
If you are interested in statistical methods and R tools that help you bridge the gap between data collection and the confirmatory data analysis (CDA), then this program is for you. Take a look at the curriculum and give this course a try!

You will learn

✓ Identify suitable R libraries for data exploration
✓ Create suitable data visualizations
✓ Learn the succession of steps in data exploration
✓ Use a combination of hypothesis tests, explorations and models
✓ How to prepare data for exploration
✓ What to do when problems arise in the initial stages
✓ Work with the main variable types
✓ Use time series data

Requirements

• Basic R programming skills
• A general understanding of statistics and data visualization
• R and RStudio ready on your computer

This course is for

• Data scientists
• Analysts of all fields
• Researchers working and analyzing data
• Young professionals wanting to switch to data analysis related work
• Students taking data analysis exams
• Everyone interested in analyzing data
• Data exploration is an initial phase of a data analysis project therefore you will need these skills in most of your projects

How much does the Understanding New Data - Exploratory Analysis in R course cost? Is it worth it?

The course costs $11.99. And currently there is a 76% discount on the original price of the course, which was $49.99. So you save $38 if you enroll the course now.
The average price is $12.8 of 234 Data Analysis courses. So this course is 6% cheaper than the average Data Analysis course on Udemy.

Does the Understanding New Data - Exploratory Analysis in R course have a money back guarantee or refund policy?

YES, Understanding New Data – Exploratory Analysis in R 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 Understanding New Data – Exploratory Analysis in R course, but there is a $38 discount from the original price ($49.99). So the current price is just $11.99.

Who is the instructor? Is R-Tutorials Training a SCAM or a TRUSTED instructor?

R-Tutorials Training has created 22 courses that got 11,370 reviews which are generally positive. R-Tutorials Training has taught 74,061 students and received a 4.4 average review out of 11,370 reviews. Depending on the information available, R-Tutorials Training is a TRUSTED instructor.
Data Science Education
  R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 100,000+ students love it.          We focus on Data Science tutorials. Offering several R courses for every skill level, we are among Udemy’s top R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.        All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons.          The courses are taught by our main instructor Martin – trained biostatistician and enthusiastic data scientist / R user.          Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm.          We are here to help you boost your career with analytics training – Just learn and enjoy. 

8.9

CourseMarks Score®

9.9

Freshness

7.1

Feedback

9.2

Content

Platform: Udemy
Price: $11.99
Video: 6h 52m
Language: English
Next start: On Demand

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