Time Series Analysis Notebook
1 min
Course Review
1 min
Deep Dive into Time Series Analysis
part:2 (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.
Created by Selva Prabhakaran
-
English
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
What is Stationarity and why
What is Stationarity and why
does it matter in forecasting?
02
Statistical tests for
Statistical tests for
Stationarity
03
ACF, PACF and the underlying
ACF, PACF and the underlying
math
04
What is Granger's Causality
What is Granger's Causality
Tests,caveats,Interpretation
05
Testing for Seasonality
06
Approaches to Deseasonalize,
Approaches to Deseasonalize,
Detrend the time series
07
When to use what approaches
When to use what approaches
to impute missing data
08
Fully worked out
Fully worked out
Python examples
Course Curriculum
1 Modules | 3 Sessions | 2 hour 20 min Total Time
Deep Dive into Time Series Analysis: Part 2
Sessions: 3| Time: 2 hr 20 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
-
Future Data Scientists and ML Engineers
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Product Managers, Program Managers, Scrum Masters working in ML/Data science project
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Software/Data engineers interested in quantitative analysis
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Software engineers interfacing with data science team
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Executives who have to lead or interact with Data Scientists
Instructor
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
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 & 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 an on the job
experience. Hope you love it!
-
4.5+Instructor rating
-
200+ reviews
-
10K+students
-
15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts