Time Series Analysis - II (Intermediate)
Part 2 of Time Series Analysis, where we dive in deeper to study the Time series Data in more detail, clean, process and extract valuable insights.
Prabhakaran SPrincipal Data Scientist
Included in All-Access, one membership for every course.
- Lessons
- 3
- Video
- 2 h 18 min
- Certificate
- On completion
What you'll be able to do
- What is stationarity and why does it matter in Forecasting?
- Statistical tests for Stationarity
- ACF, PACF and the underlying math
- What is Granger's Causality Test, Caveats, Interpretation
- Testing for Seasonality
- Approaches to Deseasonalize, Detrend the a Time Series
- When to use what approaches to impute missing data
- Fully worked out Python examples.
Course content
1 chapter · 3 lessons · 2 h 18 min
01Deep Dive into Time Series Analysis: Part 23 lessons · 2 h 20 min
- Deep Dive into Time Series Analysis Part: 22:17:56
- Time Series Analysis Notebook1:00
- Course Review1:00
What you need
- Basics of Python
- Foundational knowledge of Data Science
- High school maths
Who this course is for
- Data Science Aspirants
- Data Science Professionals
- Software/Data engineers interested in quantitative analysis
- Professionals working with large datasets
- Data analysts, economists, researchers
Your instructor
Prabhakaran S
Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this course!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!
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- learners
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- courses
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Questions
How do I get this course?
It is part of All-Access: one membership that opens all 85 courses. The plans and prices are on our course site. You can watch the free preview lessons before you join.
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Yes. If the membership is not right for you, ask for a refund within 30 days of your first payment.
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