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Mastering Time Series Forecasting with Python

Learn Python, Time Series Model Additive, Multiplicative, AR, Moving Average, Exponential, ARIMA models
4.1
4.1/5
(103 reviews)
22,037 students
Created by

9.1

CourseMarks Score®

10.0

Freshness

7.2

Feedback

9.6

Content

Platform: Udemy
Video: 11h 38m
Language: English
Next start: On Demand

Top Time Series Analysis courses:

Detailed Analysis

CourseMarks Score®

9.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 1/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

7.2 / 10
We analyzed factors such as the rating (4.1/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.6 / 10
Video Score: 9.4 / 10
The course includes 11h 38m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 03 minutes of 14 Time Series Analysis courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

10 articles.
3 resources.
0 exercise.
0 test.

Table of contents

Description

Welcome to Mastering Time Series Forecasting in Python
Time series analysis and forecasting is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course covers all types of modeling techniques for forecasting and analysis.
We start with programming in Python which is the essential skill required and then we will exploring the fundamental time series theory to help you understand the modeling that comes afterward.
Then throughout the course, we will work with a number of Python libraries, providing you with complete training. We will use the powerful time-series functionality built into pandas, as well as other fundamental libraries such as NumPy, matplotlib, statsmodels, Sklearn, and ARCH.
With these tools we will master the most widely used models out there:
•Additive Model
•Multiplicative Model
•AR (autoregressive model)
•Simple Moving Average
•Weighted Moving Average
•Exponential Moving Average
•ARMA (autoregressive-moving-average model)
•ARIMA (autoregressive integrated moving average model)
•Auto ARIMA

We know that time series is one of those topics that always leaves some doubts.
Until now.
This course is exactly what you need to comprehend the time series once and for all. Not only that, but you will also get a ton of additional materials – notebooks files, course notes – everything is included.

You will learn

✓ Python Programing
✓ Basic to Advanced Time Series Methods
✓ Time Series Visualization in Python
✓ Auto Regressive Methods,
✓ Moving Average, Exponential Moving Average
✓ Linear Regression and Evaluation
✓ Additive and Multiplicative Models
✓ ARMA, ARIMA, SARIMA in Python
✓ ACF and PACF
✓ Auto ARIMA in Python
✓ Stationary and Non Stationary
✓ GARCH Models

Requirements

• Basics knowledge in Statistics
• Basic understand on Python
• Should have Gmail Account and should able to open Google Drive

This course is for

• Anyone who are interested to do time series analysis and forecasting
• Want to do advanced real time forecasting

How much does the Mastering Time Series Forecasting with Python course cost? Is it worth it?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $12.6 of 14 Time Series Analysis courses on Udemy.

Does the Mastering Time Series Forecasting with Python course have a money back guarantee or refund policy?

YES, Mastering Time Series Forecasting with Python has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Mastering Time Series Forecasting with Python course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who is the instructor? Is Data Science Anywhere Team a SCAM or a TRUSTED instructor?

Data Science Anywhere Team has created 13 courses that got 926 reviews which are generally positive. Data Science Anywhere Team has taught 76,800 students and received a 4.4 average review out of 926 reviews. Depending on the information available, Data Science Anywhere Team is a TRUSTED instructor.
Team of Engineers
Hi,

We’re team of Machine Learning experts, AI developers working together to advance the state of the art in artificial intelligence. You will be hearing from us when new courses are released, answering Q&A and many more.

We are here to help you stay on the cutting edge of Data Science and Technology.




Thanks,

Data Science Anywhere Team

Show more

9.1

CourseMarks Score®

10.0

Freshness

7.2

Feedback

9.6

Content

Platform: Udemy
Video: 11h 38m
Language: English
Next start: On Demand

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