Last Updated on 9 months by Anoob P T
Do you want to learn Statistical Modeling? In this post we are going to look at 6 best Statistical Modeling courses and classes you can do.
These Statistical Modeling courses are listed with Pricing, USPs & Review so that you can make an informed decision.
If you are passionate about Statistical Modeling, you can even think of starting a YouTube channel that teaches other people about Statistical Modeling.
This will improve your skills and even make you some passive income.
6 Best Statistical Modeling Courses
Table of Contents
Statistical Modeling for Data Science(Udemy)
The Statistical Modeling for Data Science course is ideal for anyone who wants to pursue a career as a Data Scientist or Analyst. This is a great course for someone who is passionate about Statistical modeling and wants to make a full time career out of data science.
Statistical Modeling for Data Science course includes on-key models of business to understand various aspects of statistical modeling to improve business. This course will also help you learn various topics such as the z-test, the Central Limit Theorem, dispersions, theory testing, certainty interims, measurable critics etc.
Professionals who need to learn data analysis, observational or experimental studies or anyone who wants to have a career in Data Science, can take up this course.
Key USPs:
- Learn Normal Distribution.
- Deviation between continuous and discrete variables.
- Employ Hypothesis Testing for Means.
- Enforce the Central Limit Theorem.
- Certificate of accomplishment.
- Downloadable resources.
Number of students enrolled: 120 students enrolled
Rating: 4.1 out of 5
Review: “It’s very easy to understand and a rally good course for data analytics, would recommend this course to everybody.”
Price: $94.99
Explore Statistical Modeling for Data Science CourseData science: Machine Learning and Statistical Modeling in R(Udemy)
The Data science: Machine Learning and Statistical Modeling in R course will help you learn modern techniques in machine learning with the up-to-the-minute code in R.
You will also learn statistical learning theory and superintended learning; design, efficient algorithms; discover about making Recommendation Engines; use multi-grade categorization and rich learning and more.
This course begins with how to set up the R environment, which includes setting up RStudio and R packages.
This course also has projects centred on analysis, visualization, and machine learning.
Data science: Machine Learning and Statistical Modeling in R course will also cover data mining, classification, clustering, regression, predictive modeling, anomaly detection, and more.
When you take the Data science: Machine Learning and Statistical Modeling in R course, you will start with data analysis and learn ways to use R to generate professional analysis reports.
You’ll then proceed on to picturing your data. After learning data visualization with R, the course will take you through machine learning and related topics such as data classification, regression, clustering, association rule mining, and dimension reduction.
Another aspect of Data science: Machine Learning and Statistical Modeling in R course is that this content puts theory into practical use.
Key USP:
- Downloadable content material.
- Certificate of accomplishment.
- Master the skill of spotting techniques for effective visualization of data.
- Interpret why and how to make a test and preparation, data lots for analysis.
Number of students enrolled: 437 already enrolled.
Rating: 4.2 out of 5
Review: “I think it’s covers up the whole money paid for it, really is very informative and a good course.”
Price: $94.99
Explore Data science: Machine Learning and Statistical Modeling in R CourseApplied Statistical Modeling for Data Analytics in R(Udemy)
Applied Statistical Modeling for Data Analytics in R course helps you learn cognition and statistical data analysis skills that today’s businesses demand.
Training is provided by mentor Minerva Singh who has been engaged with two of the best universities in the world, studying various books related to Statistical Modeling and issuing statistically productive papers in famous international journals like PLOS One.
Applied Statistical Modeling for Data Analytics in R course will teach you (even if you have no prior statistical modelling/analysis backdrop) from a basic level to executing some of the most common progressed statistical data analysis projects in R.
Applied Statistical Modeling for Data Analytics in R course aims to present some of the most significant statistical concepts to you in a practical manner such that you can enforce these concepts for practical data analysis and interpretation.
After each video you will learn a new concept or technique which you can deploy to your projects.
Key USPs:
- Certificate of accomplishment.
- Downloadable content.
- Access it from your mobile, tablet, computer from anywhere.
- Carry out linear modelling techniques such multiple regressions and GLMs.
- Put through advanced regression analysis and multivariate analysis.
Number of students enrolled: 7,265 students enrolled
Ratings: 4.1 out of 5
Review: ” Working through the lectures of this course has been an excellent and informative experience. Employed statistical modeling for Data Analysis in R is a significant concept and has been better explained by the instructor.”
Price: $99.99
Explore Applied Statistical Modeling for Data Analytics in R CourseIntroduction to Statistical Modeling(Harvard university)
Introduction to Statistical Modeling is an advance testing of statistics and data analysis and is beyond a basic course.
Introduction to Statistical Modeling course teaches you t-tools and permutation-based alternatives, including bootstrapping, multiple-group comparisons, analysis of variance, linear regression, model checking, and refinement.
Other topics in Introduction to Statistical Modeling course are Statistical computing, simulation-based emphasis, basic programming in the R statistical package.
You will also learn Reasoning statistically, evaluating assumptions, and developing tools for real-life applications.
Key USPs:
- Access the course from anywhere.
- Certificate of completion.
Number of students enrolled: NA(NOT AVAILABLE)
Ratings: NA(not available)
Review: “A must course for all the data analytics, the step by step procedure is really nice and the whole course is very informative.”
Price: $1,700
Explore Introduction to Statistical Modeling CourseMachine Learning and Statistical Modeling with R examples(Udemy)
Machine Learning and Statistical Modeling with R examples helps you learn Machine Learning and Statistical Modeling as simple as possible.
While you need some knowledge in statistics and statistical programming, Machine Learning and Statistical Modeling course can also be taken up by students without a major in a quantitative field like math or statistics.
Anybody who deals with data on a regular basis can enroll for Machine Learning and Statistical Modeling course and learn something.
The Machine Learning and Statistical Modeling course has a theory part, a practical part where there are examples and every section has exercises to help you learn better.
You can also download the code pdf of every section.
Key USPs:
- Understand the most usual rules of machine learning and statistical modeling.
- Understand which machine learning tool is desirable for a given trouble.
- Enforce machine learning and statistical modeling in your study.
Number of students enrolled: 2,205 students enrolled
Ratings: 3.9 out of 5
Review: “It is a very informative course, but the methods could be explained in more detail, otherwise the overall experience of this course is good.”
Price: $54.99
Explore Machine Learning and Statistical Modeling with R examples CourseHands-On Statistical Predictive Modeling(Udemy)
Hands-on Statistical Predictive Modeling is a practical course.
Without the proper predictive modeling techniques, analytics projects are unlikely to provide actionable insights.
Hands-On Statistical Predictive Modeling course will teach how these central algorithms churn out accuracy and relevance of statistical results and thrust competitive differentiation.
Hands-On Statistical Predictive Modeling will help you understand concepts such as customer behavior, conduct steps to cultivate customer loyalty, which will help you capture a greater share of the market.
You will be mindful of the data science factors determining future of your business.
By the end of this course, you will be use your knowledge and apply in the company’s analytics enabling better decision-making and increasing profits.
Key USPs:
- Certificate of accomplishment.
- Downloadable content.
- Access it from anywhere, anytime on your mobile, tablet, computer.
- Distinguish between several cases of predictive models.
- Interpret when to use discriminant analysis.
- Interpret the internal workings of your models.
Number of students enrolled: 160 students enrolled already
Ratings: 4.1 out of 5
Review: “Explanation is really done and it’s a good one for beginners”
Price: $94.99
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