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Applied Statistical Modeling for Data Analysis in R

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R
4.3
☆☆☆☆☆ 4.3/5
(1,416 reviews)
9,535 students
Created by
Minerva Singh

9.3

Classbaze Grade®

9.2

Freshness

8.5

Popularity

9.7

Material

Detailed Analysis »

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R
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Platform: Udemy
Price: check current price
Video: 9h 42m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

9.3 / 10

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

Freshness

9.2 / 10
This course was last updated on 8/2021.

Course content can become outdated quite quickly.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.

Popularity

8.5 / 10
We analyzed factors such as the rating (4.3/5) 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.

Material

9.7 / 10
Video Score: 9.1 / 10
The course includes 9h 42m 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: 10.0 / 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: 9.9 / 10

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

This course contains:

3 articles.
41 resources.
0 exercise.
0 test.

In this page

About this course

  The course will teach you this
  What you need to START the course
  Who can start this course?
General questions
  Coupons & Discounts
  Guarantees & money back
  Financial aid
Teacher
Classbaze hand picked recommendations

About the course

                                      APPLIED STATISTICAL MODELING FOR DATA ANALYSIS IN R
COMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R
             Confounded by Confidence Intervals? Pondering Over p-values? Hankering Over Hypothesis Testing? 
Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real-life data from different sources using statistical modelling and producing publications for international peer-reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!
I created this course to take you by hand teach you all the concepts, and take your statistical modelling from basic to an advanced level for practical data analysis.
With this course, I want to help you save time and learn what the arcane statistical concepts have to do with the actual analysis of data and the interpretation of the bespoke results. Frankly, this is the only course you need to complete in order to get a head start in practical statistical modelling for data analysis using R. 

My course has 9.5 hours of lectures and provides a robust foundation to carry out PRACTICAL, real-life statistical data analysis tasks in R, one of the most popular and FREE data analysis frameworks.
 
GET ACCESS TO A COURSE THAT IS JAM-PACKED WITH TONS OF APPLICABLE INFORMATION! AND GET A FREE VIDEO COURSE IN MACHINE LEARNING AS WELL!
This course is your sure-fire way of acquiring the knowledge and statistical data analysis skills that I acquired from the rigorous training I received at 2 of the best universities in the world, the perusal of numerous books and publishing statistically rich papers in renowned international journals like PLOS One.
To be more specific, here’s what the course will do for you:

  (a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common advanced statistical data analysis tasks in R.

  (b) It will equip you to use R for performing the different statistical data analysis and visualization tasks for data modelling.

  (c) It will Introduce some of the most important statistical concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.
 
  (d) You will learn some of the most important statistical modelling concepts from probability distributions to hypothesis testing to regression modelling and multivariate analysis.
 
  (e) You will also be able to decide which statistical modelling techniques are best suited to answer your research questions and applicable to your data and interpret the results.
 
The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results.
 
After each video, you will learn a new concept or technique which you may apply to your own projects immediately!
 
TAKE ACTION NOW 🙂 You’ll also have my continuous support when you take this course just to make sure you’re successful with it.  If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you’re not completely satisfied with the course.
TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.

What can you learn from this course?

✓ Analyze their own data by applying appropriate statistical techniques
✓ Interpret the results of their statistical analysis
✓ Identify which statistical techniques are best suited to their data and questions
✓ Have a strong foundation in fundamental statistical concepts
✓ Implement different statistical analysis in R and interpret the results
✓ Build intuitive data visualizations
✓ Carry out formalized hypothesis testing
✓ Implement linear modelling techniques such multiple regressions and GLMs
✓ Implement advanced regression analysis and multivariate analysis

What you need to start the course?

• Prior Familiarity With the Interface of R and R Studio
• Interest in Learning Statistical Modelling
• Interest in Applying Statistical Analysis to Real Life Data
• Interest in Gleaning Insights About Data (From Any Discipline)
• This Course Will be Demonstrated on a Windows OS. You Will Have to Adapt the Code Pertaining to the Changing Working Directories For your OS

Who is this course is made for?

• People working in any numerate field which requires data analysis
• Students of Environmental Science, Ecology, Biology,Conservation and Other Natural Sciences
• People with some prior knowledge of the R interface- (a) installing packages (b) reading in csv files
• People carrying out observational or experimental studies

Are there coupons or discounts for Applied Statistical Modeling for Data Analysis in R ? What is the current price?

The course costs $19.99. And currently there is a 83% discount on the original price of the course, which was $119.99. So you save $100 if you enroll the course now.
The average price is $18.7 of 161 R courses. So this course is 7% more expensive than the average R course on Udemy.

Will I be refunded if I'm not satisfied with the Applied Statistical Modeling for Data Analysis in R course?

YES, Applied Statistical Modeling for Data 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 financial aid for this course?

Currently we could not find a scholarship for the Applied Statistical Modeling for Data Analysis in R course, but there is a $100 discount from the original price ($119.99). So the current price is just $19.99.

Who will teach this course? Can I trust Minerva Singh?

Minerva Singh has created 46 courses that got 16,390 reviews which are generally positive. Minerva Singh has taught 82,962 students and received a 4.5 average review out of 16,390 reviews. Depending on the information available, we think that Minerva Singh is an instructor that you can trust.

Learn everything about

Minerva Singh

Bestselling Instructor & Data Scientist(Cambridge Uni)
I completed a PhD (University of Cambridge, UK) in 2017 where I focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. I hold an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. I have more than 10 year’s experience in conducting academic research (published in high level peer-reviewed international scientific journals such as PLOS One) and advising both non-governmental and industry stakeholders in data science, deep learning and earth observation (EO) related topics. I have a strong track record in implementing machine learning, data visualization, spatial data analysis, deep learning and natural language processing tasks using both R and Python. In addition to being educated at the best universities in the world, I have honed my statistical and data analysis skills through many MOOCs, including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R-based Machine Learning course offered by Stanford online) and the IBM Data Science Professional certificate Track. I specialise in a variety of topics ranging from deep learning (Tensorflow, Keras) to machine learning to spatial data analysis (including EO data processing), data visualizations, natural language processing, financial analysis among others. I have acted as a peer reviewer on highly regarded academic journals such as Remote Sensing and given guest lectures on prestigious forums such as Open Data Science Conference (ODSC).
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9.3

Classbaze Grade®

9.2

Freshness

8.5

Popularity

9.7

Material

Detailed Analysis »

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R
Go to course »
Platform: Udemy
Price: check current price
Video: 9h 42m
Language: English
Next start: On Demand

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