Predictive Modeling using R
This section covers everything you need to know about the process of building a model using R to predict future outcomes.
Your Instructor
Course Curriculum
Introduction to R
Available in
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after you enroll
Data handling using dplyr package
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after you enroll
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StartData manipulation and extraction (171:02)
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StartCharacter Functions, pattern matching, merging and duplicate removal (192:54)
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StartFunctions, Control Structures & Statistics (195:18)
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StartSQL in R & IF ELSE Statement (251:55)
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StartQuiz- Data Handling
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StartWHO Case Study (solved) (146:42)
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StartPractice Exercise
Predictive Modeling (Regression and Time series forecasting)
Available in
days
days
after you enroll
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StartIntroduction to Linear Regression- MLRM (321:04)
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StartLinear Regression - Case Study (Solved) (206:20)
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StartQuiz - Linear Regression
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StartLinear Regression - Assignment
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StartIntroduction to Logistic Regression (173:25)
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StartLogistic Regression - Case Study (Solved) (160:15)
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StartQuiz- Logistic Regression
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StartLogistic Regression- Assignment
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StartTime Series Forecasting (ARIMA) (147:31)
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StartTime Series- Case Study (Soved) (113:39)
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StartQuiz- Time Series
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StartTime series -Assignment
Frequently Asked Questions
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.