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Introduction to Time Series Analysis
- Analyse Time Series Data using basic to advanced methods.
- Learn how to use Python, Pandas, Statsmodels for Time Series Analysis.
- Covers the intuition, theory, maths, excel workouts and complete Python code implementations.
Created by Selva Prabhakaran
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English
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English captions
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 Time Series and why it
What is Time Series and why it
matters so much in industry
02
Additive and multiplicative decomposition methods
03
Seasonal Index Computations
04
Decomposing multi-seasonal time series
Decomposing multi-seasonal time series
(MSTS), X13 method
05
Measure the strength of seasonality and trend
06
Detecting stationarity
07
Custom approaches to impute missing data
Course Curriculum
10 Modules | 31 Sessions | 3 hour 37 min Total Time
Introduction to Time Series
Sessions: 4 | Time: 31 min
Components of Time Series
Sessions: 6 | Time: 38 min
Classical vs STL Decomposition
Sessions: 2 | Time: 12 min
Detecting Anomalies
Sessions: 1 | Time: 9 min
Multi Seasonal Time Series (MSTL) Decomposition
Sessions: 3 | Time: 30 min
Detrending Methods
Sessions: 2 | Time: 10 min
Deseasonalizing Time Series
Sessions: 2 | Time: 16 min
ACF and PACF
Sessions: 3 | Time: 17 min
Stationarity of Time Series
Sessions: 5 | Time: 29 min
Dealing with Missing Values
Sessions: 4 | Time: 25 min
Requirements
- Basics of Python
- Foundational knowledge of Data Science
- High school maths
Who should attend this course?
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Data Science Aspirants
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Data Science Professionals
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Professionals working with large datasets
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Software/Data engineers interested in quantitative analysis
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Data analysts, economists, researchers
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!
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4.5+Instructor rating
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200+ reviews
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10K+students
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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