100% off
In this comprehensive Time Series Analysis and Forecasting course, you'll learn everything you need to confidently analyze time series data and make accurate predictions. Through a combination of theory and practical examples, in just 10-11 hours, you'll develop a strong foundation in time series concepts and gain hands-on experience with various models and techniques.
This course also includes Exploratory Data Analysis which might not be 100% applicable for Time Series Analysis & Forecasting, but these concepts are very much needed in the Data space!!
This course includes:
Understanding Time Series: Explore the fundamental concepts of time series analysis, including the different components of time series, such as trend, seasonality, and noise.
Decomposition Techniques: Learn how to decompose time series data into its individual components to better understand its underlying patterns and trends.
Autoregressive (AR) Models: Dive into autoregressive models and discover how they capture the relationship between an observation and a certain number of lagged observations.
Moving Average (MA) Models: Explore moving average models and understand how they can effectively smooth out noise and reveal hidden patterns in time series data.
ARIMA Models: Master the widely used ARIMA models, which combine the concepts of autoregressive and moving average models to handle both trend and seasonality in time series data.
Facebook Prophet: Get hands-on experience with Facebook Prophet, a powerful open-source time series forecasting tool, and learn how to leverage its capabilities to make accurate predictions.
Real-World Projects: Apply your knowledge and skills to three real-world projects, where you'll tackle various time series analysis and forecasting problems, gaining valuable experience and confidence along the way.
In addition to the objectives mentioned earlier, our course also covers the following topics:
Preprocessing and Data Cleaning: Students will learn how to preprocess and clean time series data to ensure its quality and suitability for analysis. This includes handling missing values, dealing with outliers, and performing data transformations.
Multivariate Forecasting: The course explores techniques for forecasting time series data that involve multiple variables. Students will learn how to handle and analyze datasets with multiple time series and understand the complexities and challenges associated with multivariate forecasting.
By the end of this course, you'll have a solid understanding of time series analysis and forecasting, as well as the ability to apply different models and techniques to solve real-world problems. Join us now and unlock the power of time series data to make informed predictions and drive business decisions. Enroll today and start your journey toward becoming a time series expert!
Everything You Need to Know About Time Series Analysis and Forecasting using Python
This course is a comprehensive and well-structured introduction to Time Series Analysis and Forecasting using Python. The instructor, Satyajit Pattnaik, is a leading expert in the field with a wealth of experience in Development to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Data Science. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Time Series Analysis and Forecasting using Python. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
Got a question? We've got answers. If you have some other questions, please contact us.
To use coupons on our website, simply click on the "Take this course" button next to the course you're interested in. You will be redirected to the Udemy course page with the coupon applied automatically.
The coupons on our website can significantly reduce the price of Udemy courses, often making them very affordable or even free. However, the availability and terms of the coupons may vary.
Absolutely! We value your input and want to provide you with the courses you're interested in. If you have a specific course in mind that you'd like to see on our website, please don't hesitate to reach out to us. Simply send us the course title, and we'll do our best to contact the instructor and make it available to you.
The course may not be free on Udemy for two main reasons:Firstly, if the coupon for the course has expired, it won't be available for free or at a discounted price. Secondly, coupons often have a limited number of redemptions, and if the maximum limit has been reached, new users may not be able to enroll for free.
Yes, it's completely legal to enroll in courses using the coupons provided on our website. The coupons are offered in collaboration with instructors and are a legitimate way to access courses at discounted or free rates. However, it's essential to respect the terms and conditions set by Udemy and the course instructors.
The validity of coupons can vary from course to course. Some coupons may have a limited time frame of 4 days, while others could be available for an extended period. Be sure to check the coupon expiry details on our website.