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Time Series Analysis and Forecasting with Python

Name: Time Series Analysis and Forecasting with Python
Rating: 9.2 (167 reviews)

Learn Python for Pandas, Statsmodels, ARIMA, SARIMAX, Deep Learning, LSTM and Forecasting into Future

4.2

☆☆☆☆☆ 4.2/5

(167 reviews)

3,687 students

Created by

9.2

Classbaze Grade®

9.7

Freshness

7.7

Popularity

9.5

Material

Detailed Analysis »

Platform: Udemy

Price: check current price

Video: 10h 18m

Language: English

Next start: On Demand

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Classbaze Rating

Classbaze Grade®

9.2 / 10

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

Freshness

9.7 / 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Course content can become outdated quite quickly.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.

Popularity

7.7 / 10

We analyzed factors such as the rating (4.2/5) 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.

Material

9.5 / 10

Video Score: 9.1 / 10

The course includes 10h 18m 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 31 minutes of 1,582 Python courses on Udemy.

Detail Score: 9.6 / 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:

3 articles.

5 resources.

0 exercise.

0 test.

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General questions

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About the course

“Time Series Analysis and Forecasting with Python” Course is an ultimate source for learning the concepts of Time Series and forecast into the future.
In this course, the most famous methods such as statistical methods (ARIMA and SARIMAX) and Deep Learning Method (LSTM) are explained in detail. Furthermore, several Real World projects are developed in a Python environment and have been explained line by line!
If you are a researcher, a student, a programmer, or a data science enthusiast that is seeking a course that shows you all about time series and prediction from A-Z, you are in a right place. Just check out what you will learn in this course below:
•Basic libraries (NumPy, Pandas, Matplotlib)
•How to use Pandas library to create DateTime index and how to set that as your Dataset index
•What are statistical models?
•How to forecast into future using the ARIMA model?
•How to capture the seasonality using the SARIMAX model?
•How to use endogenous variables and predict into future?
•What is Deep Learning (Very Basic Concepts)
•All about Artificial and Recurrent Neural Network!
•How the LSTM method Works!
•How to develop an LSTM model with a single variate?
•How to develop an LSTM model using multiple variables (Multivariate)
As I mentioned above, in this course we tried to explain how you can develop an LSTM model when you have several predictors (variables) for the first time and you can use that for several applications and use the source code for your project as well!
This course is for Everyone! yes everyone! that wants t to learn time-series and forecasting into the future using statistics and artificial intelligence with any kind of background! Even if you are not a programmer, I show you how to code and develop your model line by line!
If you want to master the basics of Machine Learning in Python as well, you can check my other courses!

What can you learn from this course?

✓ Basic Packages, NumPy, Pandas & Matplotlib
✓ Time Series with Pandas (Creating Date Time index, Resampling, …)
✓ Analyzing Time Series Data Using Statsmodels Package
✓ The Concept of ARIMA and SARIMAX method and How to Forecast into the Future Using Them
✓ The Concept of Deep Learning from A-Z
✓ Forecast into the Future Using LSTM Model for Single Variant
✓ Forecast into the Future Using LSTM Model for Multi Variant

What you need to start the course?

• General and Basic Python Skills

Who is this course is made for?

• Data Science Enthusiast
• Beginner Programmers
• Python Developers
• Recheachers who like to forecast into future
• Data Analysts
• Anyone who is interested in Time Series and Future Forecasting

Are there coupons or discounts for Time Series Analysis and Forecasting with Python ? What is the current price?

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 $20.1 of 1,582 Python courses. So this course is 25% cheaper than the average Python course on Udemy.

Will I be refunded if I'm not satisfied with the Time Series Analysis and Forecasting with Python course?

YES, Time Series Analysis and 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 financial aid for this course?

Currently we could not find a scholarship for the Time Series Analysis and 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 will teach this course? Can I trust Navid Shirzadi?

Navid Shirzadi has created 5 courses that got 1,333 reviews which are generally positive. Navid Shirzadi has taught 70,393 students and received a 4.4 average review out of 1,333 reviews. Depending on the information available, we think that Navid Shirzadi is an instructor that you can trust.

Learn everything about

Navid Shirzadi

Data Analyst – Optimization Expert

My name is Navid Shirzaid and I am super excited that you are here to read this section!
I am a researcher with more than 7 years of experience in the field of controlling integrated energy systems with extensive skill in using mathematical optimization strategies.
I am also proficient in coding with Python and developing machine learning and deep learning models for different applications.
I have several publications in the field of designing and control strategies of energy systems using machine learning, deep learning, and artificial intelligence.
To Conclude, I am passionate about Data Science and Machine Learning, and Optimization applications in real-world problems and I really like to share my experience with you!

Navid Shirzadi's full profile and courses »