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1 min
Deep Dive into Time Series Forecasting Part 2
- Complete ARIMA Modeling and Tests
- Get started with ARIMA Modeling in Python.
- Understand the complete maths and the processes to build reliable forecasts.
Created by Selva Prabhakaran
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15 Video Lessons
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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
Complete Understanding of
Complete Understanding of
the ARIMA Algorithm
02
Variations of ARIMA Models,
Variations of ARIMA Models,
handling Seasonality,
exogenous variables
03
Statistician's method of
Statistician's method of
findingp,d,q parameters
04
Post hoc Analysis
Post hoc Analysis
05
How to extend and build
How to extend and build
Autoarima and find tune
06
Hands-on Working session of
Hands-on Working session of
model building process using
Python-Statsmodels
Course Curriculum
6 Modules | 16 Sessions | 1 hour 49 min Total Time
Introduction to ARIMA modeling
Sessions: 2 | Time: 23 min
Stationarity tests
Sessions: 4| Time: 24 min
AR and MA Modelling
Sessions: 4| Time: 19 min
Build and Tune ARIMA
Sessions: 3| Time: 20 min
How AutoARIMA works?
Sessions: 2| Time: 4 min
SARIMA and SARIMAX
Sessions: 2| Time: 19 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
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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!
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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