4 Best Statistical Modeling Courses [2019]

best statistical modeling course class certification training online
20+ Experts have compiled this list of Best Statistical Modeling Course, Tutorial, Training, Class, and Certification available online for 2019. It includes both paid and free resources to help you learn about Statistical Modeling and these courses are suitable for beginners, intermediate learners as well as experts.

 

4 Best Statistical Modeling Courses, Certification & Training Online [2019 UPDATED]

1. Statistical Modeling Courses (Udemy)

Udemy has compiled a list of 8 programs that will help you to earn the skills of statistical modeling, which is a key concept in data science and artificial intelligence. Categorized on the basis of difficulty level the platform covers topics like analyzing data in R using applied methods, machine learning & statsmodels and more. If you are not sure where to start then answer a few questions on the website and get recommendations that suit your requirements.
Key USPs –

– Work with the leading packages in machine learning.

– Familiarize yourself with logistic regression and analyze large scale dataset.

– Complete guidance is provided to help you set up the necessary tools and software to follow along with classes.

– Apply the theory covered in the lectures to solve real-world problems.

– Lectures + Downloadable resources + Articles + Full lifetime access

– Enroll in the program at an affordable rate.

 

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here

 

 

2. Statistical Modeling in R (Part 1) (DataCamp)

This program is designed for individuals who are new to the field of statistical modeling and covers all the crucial techniques of this area.  The introductory lessons talk about the fundamentals such as R objects, formulas and the significance of this modeling. Following this you will learn to create, evaluate and train the model and work with different scales of data. End the lectures by exploring covariates that play a key role in solving complicated real-world problems.

 

Key USPs-

– No prior experience required in this area to enroll.

– Train models on the provided data as well as inputs from your end.

– Compare different models and understand which one to use based on the data and other parameters.

–  Plenty of demonstrations and lectures accompany the lectures.

– The first module of the program can be accessed for free.

 

Duration: 4 hours

Rating: 4.5 out of 5

You can Sign up Here 

 

 

3. Statistical Modeling and Regression Analysis (edX)

If you have prior experience in the field of statistics & probability and want to use that as a base to begin your journey into the field of data analysis or machine learning modeling then this is the perfect place for you. Begin with the basics of regression analysis and the relevant tools. Apart from this you will also go over numerous examples explained with the R statistical software. By the end of the classes, you will be confident in interpreting the results obtained from the performed analysis.    

 

Key USPs-

– Well structured curriculum with gradually increasing difficulty level.

– All the topics are explained with examples which makes it easy to follow along.

– Learn about logistic and Poisson regression with a more generalized approach.

– Audit the program for free and add the certificate for an added price.

– Complete all the graded assignments to earn the certification.

 

Duration: 14 weeks, 8 to 10 hours per week

Rating: 4.5 out of 5

You can Sign up Here

 

 

4. Introduction to Statistical Modeling (Harvard University)

In this intermediate-level class you will get a deeper look into the concepts of statistical inference. The instructors highly encourage you to take real-life examples, evaluate them and most importantly think statistically. Some of the key topics covered include regressions, models, and variance analysis.

 

Key USPs-

– Heavy emphasis on practical and implementable learning.

– Fundamental lectures are followed by lessons on statistical computing.

– Explore the relevant package in R and get started with the foundational level of programming.

– The suggestion of extra resources is provided to supplement the learning experience.

– On completion of the course along with the graded assessments and assignments, you will earn 4 academic credits.

– Learn at your own pace with the video lectures.

 

Duration: Self-paced                                                                                

Rating: 4.4 out of 5

You can Sign up Here 

 

So these were the 4 Best Statistical Modeling Tutorial, Class, Course, Training & Certification available online for 2019. Hope you found what you were looking for. Wish you a Happy Learning!