Introduction to Analytics Modeling
Analytics: Essential Tools and Methods,
Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data. In modeling, it’s essential to understand how to choose the right data sets, algorithms, techniques and formats to solve a particular business problem.
In this course, part of the Analytics: Essential Tools and Methods MicroMasters program, you’ll gain an intuitive understanding of fundamental models and methods of analytics and practice how to implement them using common industry tools like R.
You’ll learn about analytics modeling and how to choose the right approach from among the wide range of options in your toolbox.
You will learn how to use statistical models and machine learning as well as models for:
classification;
clustering;
change detection;
data smoothing;
validation;
prediction;
optimization;
experimentation;
decision making.
What you'll learn
- Fundamental analytics models and methods
- How to use analytics software, including R, to implement various types of models
- Understanding of when to apply specific analytics models
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| Rating | 4.5★ based on 7 ratings |
|---|---|
| Length | 16 weeks |
| Effort | 16 weeks, 8–10 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $825 |
| From | The Georgia Institute of Technology, GTx via edX |
| Instructor | Joel Sokol |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Analysis & Statistics Engineering |
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What people are saying
mentally challenging prolonged task
The most mentally challenging prolonged task I have ever taken on let alone completed.
or math expertise necessary
But the three exams, the class project, and three of the ten homework assignments (collectively literally 90% of the course grade) are focused on concepts and broad applications, with no programming or math expertise necessary, making the subject matter approachable to ).
lecture/recitation videos before first-week
One thing I can suggest to improve the class is to add R refresher lecture/recitation videos before first-week homework.
technical difficulties at times
While there were some technical difficulties at times but they were easily compensated by the ever responsive TAs, messaging board, office-hours etc.
pretty sharp learning curve
The first week or two in particular did have a pretty sharp learning curve -- students spent a lot of time and energy learning R -- but it flattened out and got a lot easier.
collectively literally 90
data analysis methodology
I would highly recommend it to anyone interested in an introduction to data analysis methodology and ideas.
easily compensated by
lifelong excel jockey
This course was everything I hoped it to be and more, totally mind-blowing introduction to real analytics modelling for a lifelong Excel jockey (ok, and Access and SQL, but you know the limits here).
subject matter approachable
as several reviewers
As several reviewers have said, it's best if you come into this with a basic course in R under your belt, that said the first 3 week first time immersion in R seemed to bond a lot of us together, first on the forums and then on slack (shout out to Ben L. and the rest, many of whom have posted here).
edx delivery method
Edx delivery method was good for this course.
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Counseling Theories & Models Part-Time Faculty $17k
Supervisor Analytical Chemist 2 $52k
Analytical Coordinator $53k
Trainer of Evidence Based Models $54k
Analytical Scientist  PAS $75k
Quality Analytical Chemist 2 $89k
Analytical Validation Leader $98k
Analytical R&D Group Leader $114k
Assistant Adjunct Professor Statistical Models $122k
Risk Analytics Tools and Models Program Manager $136k
Analytical Linguist $159k
Analytical Ecosystem Architect $159k
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| Rating | 4.5★ based on 7 ratings |
|---|---|
| Length | 16 weeks |
| Effort | 16 weeks, 8–10 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $825 |
| From | The Georgia Institute of Technology, GTx via edX |
| Instructor | Joel Sokol |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Analysis & Statistics Engineering |
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