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The best Data Modeling courses and tutorials on the internet

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Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
This course on statistics and probability provided by Khan Academy will be diving into the subchapters of analyzing categorical data, displaying and comparing quantitative data, summarizing quantitative data, modeling data distributions, exploring bi..
21h
Kirill Eremenko
Udemy
All levels
21h
Self-paced
Okay
Take this course and learn Data Science step by step through real Analytics examples that include Data Mining, Modeling, Tableau Visualization and many more. This course includes Real-Data Science exercises that will definitely help you learn Data Sc..


4.6
·
18553 reviews
26-40h
Johns Hopkins University
Coursera
All levels
26-40h
Starts Apr 27
Good
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are a..


4.7
·
4486 reviews
26-40h
University of Pennsylvania
Coursera
All levels
26-40h
Starts Apr 27
Good
How can you put data to work for you? Specifically, how can numbers in a spreadsheet tell us about present and past business activities, and how can we use them to forecast the future? The answer is in building quantitative models, and this course is..


4.6
·
3638 reviews
Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
AP-style statistics course created by Sal Khan from Khan Academy, which will be diving into analyzing categorical data, displaying and describing quantitative data, summarizing quantitative data, modeling data distributions, exploring bivariate numer..
26-40h
Johns Hopkins University
Coursera
All levels
26-40h
Starts Apr 27
Good
This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling..


4.5
·
2054 reviews
26-40h
University of California San Diego
Coursera
All levels
26-40h
Starts Apr 27
Good
Once you?ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to de..


4.3
·
1959 reviews
2h 33m
Jason Sauer
Pluralsight
Beginner
2h 33m
Self-paced
Good
A good data model can be the difference between a successful, manageable application and one that breaks with every change request. A good data model can be the difference between a successful, manageable application and one that breaks with every ch..


4.5
·
404 reviews
7h 33m
Hugo Kornelis
Pluralsight
Intermediate
7h 33m
Self-paced
Good
This course is for anyone who wants to understand relational database design, or data modeling in general. You will learn how to gather requirements, model them, normalize the model, and transform that model into a fully normalized relational databas..


4
·
350 reviews
26-40h
Duke University
Coursera
Beginner
26-40h
Starts Apr 27
Good
This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of ..


4.7
·
916 reviews
26-40h
National Research University Higher School of Economics
Coursera
Expert
26-40h
Starts Apr 27
Good
If you want to learn how to win a data science competition this is a right course for you. You will be taught all the tips and tricks from the people who have a lot of experience in this field. You will understand how to solve predicative modeling co..


4.7
·
535 reviews
2h 27m
Dejan Sarka
Pluralsight
Intermediate
2h 27m
Self-paced
Good
A good application starts with a good database design. Support analytical applications with a good logical design, get understanding of the problems with data access for queries that deal with large amounts of data, and learn about SQL Server optimiz..


4
·
207 reviews
8h
Harvard University
edX
Beginner
8h
Self-paced
Professional
Learn inference and modeling, two of the most widely used statistical tools in data analysis. Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will..
112h
The Georgia Institute of Technology
edX
Intermediate
112h
Unknown
Okay
An introduction to commonly used linear regression models along with detailed implementation of the models within real data examples using the R statistical software. Regression Analysis is the most common statistical modeling approach used in data a..
8h
Harvard University
edX
Beginner
8h
Self-paced
Professional
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science. Linear regression is commonly used to quantify the relationship between two or more variables. It is also used to adjust for co..
2h 59m
Dejan Sarka
Pluralsight
Intermediate
2h 59m
Self-paced
Good
This comprehensive course covers data mining as a state of the art analysis tool. Explore data mining algorithms to help you improve production modeling as well as learn the appropriate use of each algorithm, the advantages and disadvantages to each ..


4
·
135 reviews
26-40h
University of Pennsylvania
Coursera
All levels
26-40h
Starts May 20
Good
In this Capstone you will recommend a business strategy based on a data model you?ve constructed. Using a data set designed by Wharton Research Data Services (WRDS), you will implement quantitative models in spreadsheets to identify the best opportun..


4.6
·
307 reviews
9.5h
Minerva Singh
Udemy
All levels
9.5h
Self-paced
Okay
Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R


4.3
·
613 reviews
8h
Microsoft
edX
Intermediate
8h
Unknown
Okay
Go from conceptual to practical, as you build your data modeling foundation, explore data and data design concepts -- before you begin sourcing, preparing, and manipulating data. The role of the data modeler has become even more critical to the ongoi..
18h
Gopal Prasad Malakar
Udemy
All levels
18h
Self-paced
Okay
Analytics /Machine Learning / Data Science: Statistical / Econometrics foundation, SAS Program details, Modeling demo


4
·
612 reviews
1h 52m
Pinal Dave
Pluralsight
Intermediate
1h 52m
Self-paced
Good
This course focuses on the MySQL Workbench Integrated Development Environment. A detailed exploration of MySQL Workbench, a unified visual tool for data modeling, SQL development, and comprehensive administration tools for MySQL. This course will gui..


4
·
107 reviews
96h
Massachusetts Institute of Technology
edX
Intermediate
96h
Unknown
Okay
Learn how to use probability theory to develop the basic elements of statistical inference and important random process models The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full..
26-40h
Wesleyan University
Coursera
All levels
26-40h
Starts Apr 27
Good
This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear ..


4.3
·
232 reviews
16h
Massachusetts Institute of Technology
edX
Intermediate
16h
Unknown
Okay
Learn physical, computational, and measured-data approaches to state-space modeling and control, by building a copter-levitated arm and then designing and testing high-performance microcontroller-based positioning systems.

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