Predictive Analytics crash course, Online MBA, Semester 3:
This subject covers the core predictive analytics techniques used in business: regression, classification, clustering and time-series forecasting.
- 9 video lessons
- 1h 50m
- Study notes
- 45 quiz questions
- Assignment
9 lessons in Predictive Analytics
Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.
About this subject
This subject covers the core predictive analytics techniques used in business: regression, classification, clustering and time-series forecasting. After it, you will be able to interpret regression output, evaluate classifiers using confusion matrix metrics such as precision, recall and F1, segment customers with k-means, and produce moving average and exponential smoothing forecasts.
- 1
Multiple Linear Regression and Its Assumptions
Module 1, Regression: Multiple linear regression, Assumptions
Multiple Linear Regression: An Easy and Clear Beginner’s Guide· numiqo· 20 min
Study notes 5 quiz questionsWatch lesson - 2
Logistic Regression vs Linear Regression
Module 1, Regression: Logistic regression
StatQuest: Logistic Regression· StatQuest with Josh Starmer· 8 min
Study notes 5 quiz questionsWatch lesson - 3
Decision Trees and k-NN Classification
Module 2, Classification: Decision trees, k-NN
Decision and Classification Trees, Clearly Explained!!!· StatQuest with Josh Starmer· 18 min
Study notes 5 quiz questionsWatch lesson - 4
Confusion Matrix: Accuracy, Precision, Recall, F1
Module 2, Classification: Confusion matrix, precision, recall
Confusion Matrix Solved Example Accuracy Precision Recall F1 Score Prevalence by Mahesh Huddar· Mahesh Huddar· 6 min
Study notes 5 quiz questionsWatch lesson - 5
ROC Curve and AUC Explained
Module 2, Classification: ROC
ROC and AUC, Clearly Explained!· StatQuest with Josh Starmer· 15 min
Study notes 5 quiz questionsWatch lesson - 6
K-Means Clustering Step by Step
Module 3, Clustering: k-means
StatQuest: K-means clustering· StatQuest with Josh Starmer· 8 min
Study notes 5 quiz questionsWatch lesson - 7
Hierarchical Clustering and Customer Segmentation
Module 3, Clustering: Hierarchical clustering, Segmentation applications
Lec-14: Hierarchical Clustering | Agglomerative vs Divisive with examples· Gate Smashers· 6 min
Study notes 5 quiz questionsWatch lesson - 8
Moving Average and Exponential Smoothing Forecasts
Module 4, Forecasting: Moving average, Exponential smoothing
Moving Average | Exponential Smoothing | Weighted Moving Average | Time Series Analysis | Part 10· Tech Classes· 14 min
Study notes 5 quiz questionsWatch lesson - 9
ARIMA Basics for Time Series Forecasting
Module 4, Forecasting: ARIMA basics
ARIMA Model Explained | Time Series Forecasting· Egor Howell· 15 min
Study notes 5 quiz questionsWatch lesson
Assignment
Predictive Analytics Problem Set: From Regression to Forecasting
Less scrolling. More passing.
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Hand-picked video lessons
9 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.
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Study notes
9 lessons come with a summary, key points, key terms and takeaways for quick revision.
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Quizzes
45 questions across the course, with the right answer and why, the moment you pick.
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Assignments
1 subject assignments with clear tasks, so you practise what each subject actually asks of you.
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Notebook
Write notes beside the video, stamped with the exact time, and jump back to that moment later.
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Progress that follows you
Completed lessons, quiz scores and where you stopped, saved to your account on every device.
- Live chat pass
Live chat
A members-only live chat beside every lesson: doubts, tips, stickers and GIFs with your batch. One ₹19 pass opens every live chat.
The Online MBA live chat. Study together, live.
A live chat right beside the video, shared by everyone studying Online MBA. Ask a Predictive Analytics doubt mid-lesson, share a shortcut, celebrate a finished semester.
- Live chat beside every lesson
- One live chat for all of Online MBA
- Members-only stickers & GIFs
- One ₹19 pass opens every live chat
Online MBA live chat
Anyone else finding Predictive Analytics tricky? 😅
Lesson 2 cleared it up for me. Watch it before the quiz
Doing it now, thanks!
Starting Database Management Systems tonight if anyone wants to go together
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Predictive Analytics: common questions
This subject covers the core predictive analytics techniques used in business: regression, classification, clustering and time-series forecasting. After it, you will be able to interpret regression output, evaluate classifiers using confusion matrix metrics such as precision, recall and F1, segment customers with k-means, and produce moving average and exponential smoothing forecasts. It's the Predictive Analytics subject of Online MBA, Semester 3, in 9 lessons: Multiple Linear Regression and Its Assumptions; Logistic Regression vs Linear Regression; Decision Trees and k-NN Classification; Confusion Matrix: Accuracy, Precision, Recall, F1; ROC Curve and AUC Explained; K-Means Clustering Step by Step; Hierarchical Clustering and Customer Segmentation; Moving Average and Exponential Smoothing Forecasts; ARIMA Basics for Time Series Forecasting.
Yes. Every video lesson is free to watch without an account. A free login unlocks study notes, quizzes, the assignment, a notebook and progress that syncs across devices.
About 1h 50m of video across 9 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.
Yes: “Predictive Analytics Problem Set: From Regression to Forecasting”. It comes after the last lesson, with a brief, clear tasks and how the work is judged.
A members-only live chat beside the video, shared by everyone studying Online MBA, where learners ask doubts, share tips and react with stickers and GIFs. One ₹19 pass, paid once from your InsideEdge wallet, opens the live chat for every degree.
No. It's a crash course to help you understand and revise the subject quickly. Use it alongside your official study material and assignments.