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Forecasting the Sales using Time Series Analysis in Python

This course comprises all the modules to work effectively with Time Series Analysis and Forecasting using python
3.3
3.3/5
(2 reviews)
410 students
Created by

7.8

CourseMarks Score®

9.4

Freshness

5.6

Feedback

7.7

Content

Platform: Udemy
Video: 1h 53m
Language: English
Next start: On Demand

Top Time Series Analysis courses:

Detailed Analysis

CourseMarks Score®

7.8 / 10

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

Freshness Score

9.4 / 10
This course was last updated on 6/2021.

Course content can become outdated quite quickly.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

5.6 / 10
We analyzed factors such as the rating (3.3/5) 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

7.7 / 10
Video Score: 7.8 / 10
The course includes 1h 53m 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: 9.8 / 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: 5.5 / 10

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

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

Many of us have heard it that statistics is one the next jobs that is coming up in the career opportunities (this fact is vouched by even Hal Varian). Almost five years Tim O’Reilly said that data is the next big thing to happen in the world. But what exactly is data and why is it so important? And why is there so much importance being given to statistics and data in the world today? The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data. This training is an introduction to the concept of statistical concepts that are very important to Data science domain and its application using Python.
Python programming language is one of the most powerful programming languages and due to its robust nature, it is being welcomed by the organizations to get their platforms developed. All across the world, there is a huge demand for python developers who have good experience in the advanced aspect of python. The developers with hands-on Time Series Analysis and Forecasting with Python are preferred over the developers who would have merely worked with the simple concepts of python. If you are willing to learn Time Series Analysis and Forecasting with Python, you are at the best place and you can opt for this course in just a few clicks and give an amazing turning point to your career.
This course comprises all the modules or subjects that one must master to work effectively with Time Series Analysis and Forecasting.
At the beginning of the course, you will get to learn about the fundamentals which is the most essential thing that one should know to complete this course.
You will get to know about all the topics that are directly or indirectly concerned with the topics that we are focusing on in this course.
In the mid part of the course, you will come across various advanced-level topics that will help you to implement all the concepts of data science and ML with the help of Python. You will be able to help the businesses as soon as you complete the course. You will also be able to draft the solution for any sort of analysis and forecasting based problems.

You will learn

✓ Learn to work effectively with Time Series Analysis and Forecasting.
✓ Learn about the fundamentals which is the most essential thing that one should know to complete this course.
✓ In the mid part of the course, you will come across various advanced-level topics that will help you to implement all the concepts of data science and ML with the help of Python.
✓ You will also be able to draft the solution for any sort of analysis and forecasting based problems.

Requirements

• The very first thing is a good understanding of Data Science. Since this course is focused on a topic that is a part of Data Science, it is required from the trainees to possess a good understanding of this technology. If you are having good exposure to data science, you will find it very easy to work with the advanced aspects of this course.
• The next important thing is Machine learning. We have included units and projects in this course that is solely based on Machine learning. If you have a good understanding of the concepts that fall under the court of ML then it will be very easy for you to understand the related concepts.

This course is for

• The professionals, trainers, and the students could be the best target audience for this course.
• The developers or professionals who have good experience in Python or any other programming language and want to learn the implementation of Time Series Analysis and Forecasting with Python can be the best target audience for this course. They will be learning everything from an advanced perspective that will help them to get a deep understanding of the subject.
• The students who are working in Python and want to learn about analysis and forecasting can also be the best target audience for this training. They will be able to learn things from scratch. The educators can also leverage this course to learn more so that they can serve their trainees best.

How much does the Forecasting the Sales using Time Series Analysis in 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 Forecasting the Sales using Time Series Analysis in Python course have a money back guarantee or refund policy?

YES, Forecasting the Sales using Time Series Analysis in 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 Forecasting the Sales using Time Series Analysis in 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 Exam Turf a SCAM or a TRUSTED instructor?

Exam Turf has created 36 courses that got 1,512 reviews which are generally positive. Exam Turf has taught 137,045 students and received a 4.0 average review out of 1,512 reviews. Depending on the information available, Exam Turf is a TRUSTED instructor.
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An initiative by IIT IIM Graduates, ExamTurf is a leading global provider of skill based mock exams addressing the needs of 1,000,000+ members across 70+ Countries. Our unique step-by-step, online learning model along with amazing tests series prepared by top-notch professionals from the Industry help participants achieve their goals successfully. All our test series are Job oriented skill based tests demanded by the Industry. At ExamTurf, it is a matter of pride for us to make job oriented tests series available to anyone, anytime and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your tests to suit your convenience and schedule.Show moreShow less

7.8

CourseMarks Score®

9.4

Freshness

5.6

Feedback

7.7

Content

Platform: Udemy
Video: 1h 53m
Language: English
Next start: On Demand

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