Free Udemy Course 2025: Applied Time Series Analysis - Free Udemy Course [100% Off]
Master new skills with expert-led instruction - 100% Free with Certificate
Free Udemy Course Details
Language: English
Instructor: Akhil Vydyula
Access: Lifetime access with updates
Certificate: Included upon completion
Applied Time Series Analysis and Forecasting in Python - Free Udemy Course [100% Off Coupon Code]
Limited-Time Offer: This Development/Data Science Udemy course is now available completely free with our exclusive 100% discount coupon code. Originally priced at $19.99, you can enroll at zero cost and gain lifetime access to professional training. Don't miss this opportunity to master time series analysis without spending a dime!
What You'll Learn in This Free Udemy Course
This comprehensive free online course on Udemy covers everything you need to become proficient in time series analysis and forecasting using Python. Whether you're a beginner or looking to advance your skills, this free Udemy course with certificate provides hands-on training and practical knowledge you can apply immediately.
- Master AR, MA, ARMA, and ARIMA models to predict financial and economic trends with confidence
- Build seasonal forecasting models (SARIMA, SARIMAX) for real-world business applications
- Implement advanced volatility models (ARCH, GARCH) used by investment banks and hedge funds
- Apply deep learning techniques (LSTM, CNN, DNN) for cutting-edge time series predictions
- Analyze multiple time series simultaneously using VAR, VARMA, and VARMAX models
- Extract actionable insights from ACF/PACF plots and master stationarity testing
- Use Python libraries like pandas, NumPy, StatsModels, and TensorFlow for real projects
- Complete 5+ end-to-end forecasting projects with downloadable code and resources
Who Should Enroll in This Free Udemy Course?
This free certification course is perfect for anyone looking to break into data science or enhance their existing skills. Here's who will benefit most from this no-cost training opportunity:
- Aspiring data scientists seeking high-paying roles in finance and tech industries
- Finance professionals wanting to master quantitative forecasting methods
- Business analysts looking to add predictive modeling to their skillset
- Career changers seeking to enter the lucrative data science industry
- Python developers wanting to specialize in time series and machine learning
- Students and researchers needing practical forecasting techniques for projects
- Investors and traders wanting to build algorithmic prediction models
Meet Your Instructor
Learn from Akhil Vydyula, an experienced data science professional with a proven track record of teaching complex analytical concepts. With thousands of satisfied students across his courses, he brings real-world expertise and a clear, practical teaching style that makes advanced time series analysis accessible to everyone. His focus on hands-on projects ensures you'll gain immediately applicable skills.
Course Details & What Makes This Free Udemy Course Special
With an impressive 4.16 rating and 1,711 students already enrolled, this Udemy free course has proven its value. The course includes 8 comprehensive lessons and X hours of video tutorials, all taught in English. What sets this free online course apart is the complete coverage of both classical statistical methods and modern deep learning approaches for time series analysis. Upon completion, you'll receive a certificate to showcase on LinkedIn and your resume. Plus, with mobile access, you can learn anytime, anywhere—perfect for busy professionals. This Development course in the Data Science niche is regularly updated and includes lifetime access, meaning you can revisit materials whenever you need a refresher.
How to Get This Udemy Course for Free (100% Off)
Follow these simple steps to claim your free enrollment:
- Click the enrollment link to visit the Udemy course page
- Apply the coupon code: OPENLOVE at checkout
- The price will drop from $19.99 to $0.00 (100% discount)
- Complete your free enrollment before August 11, 2025 at 7:00 AM UTC
- Start learning immediately with lifetime access
⚠️ Important: This free Udemy coupon code expires on August 11, 2025. The course will return to its regular $19.99 after this date, so enroll now while it's completely free. This is a legitimate, working coupon—no credit card required, no hidden fees, no trial periods. Once enrolled, the course is yours forever.
Why You Should Grab This Free Udemy Course Today
Here's why this free certification course is an opportunity you can't afford to miss: Time series analysis is one of the most in-demand skills in data science, with professionals earning $80,000-$150,000 annually. This course teaches the exact techniques used by quantitative analysts at top banks and hedge funds. You'll gain both traditional statistical methods and cutting-edge deep learning approaches, making you versatile in any data role. Plus, with Python being the #1 programming language in data science, these skills open doors to remote work, freelancing, and high-growth tech careers. The free certificate adds instant credibility to your LinkedIn profile and resume.
Frequently Asked Questions About This Free Udemy Course
Is this Udemy course really 100% free?
Yes! By using our exclusive coupon code OPENLOVE, you get 100% off the regular $19.99 price. This makes the entire course completely free—no payment required, no trial period, and no hidden costs. You'll have full access to all course materials just like paying students.
How long do I have to enroll with the free coupon?
This limited-time offer expires on August 11, 2025 at 7:00 AM UTC. After this date, the course returns to its regular $19.99. We highly recommend enrolling immediately to secure your free access. The coupon has limited redemptions available.
Will I receive a certificate for this free Udemy course?
Absolutely! Upon completing all course requirements, you'll receive an official Udemy certificate of completion. This certificate can be downloaded, shared on LinkedIn, and added to your resume to showcase your new skills to employers.
Can I access this course on my phone or tablet?
Yes! This course is fully compatible with the Udemy mobile app for iOS and Android. Download the app, enroll with the free coupon, and learn on-the-go. You can watch videos, complete exercises, and track your progress from any device.
How long do I have access to this free course?
Once you enroll using the free coupon code, you get lifetime access to all course materials. There's no time limit—learn at your own pace, revisit lessons anytime, and benefit from future updates at no additional cost. Your one-time free enrollment gives you permanent access.
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About This Free Udemy Course 2025
The "Applied Time Series Analysis - Free Udemy Course [100% Off]" course is thoughtfully crafted to help you gain new skills and deepen your understanding through clear, comprehensive lessons and practical examples. Whether you're just starting out or looking to enhance your expertise, this course offers a structured and interactive learning experience designed to meet your goals.
What You Will Learn in This Free Udemy Course
Throughout this course, you'll explore essential topics that empower you to confidently apply what you've learned. With over 0.0 hours of engaging video lectures, along with 8 informative articles and 0 downloadable resources, you'll have everything you need to succeed and grow your skills.
Key Learning Outcomes:
- Master fundamental concepts and practical applications
- Develop hands-on experience through real-world projects
- Build a professional portfolio to showcase your skills
- Gain industry-relevant knowledge from expert instructors
Learn at Your Own Pace with Free Udemy Courses 2025
Flexibility is at the heart of this course. Access the materials on any device — whether on your desktop, tablet, or smartphone — and learn when it's convenient for you. The course structure allows you to progress at your own speed, making it easy to fit learning into your busy life.
Meet Your Free Udemy Course Instructor
Your guide on this journey is Akhil Vydyula , seasoned expert with a proven track record of helping students achieve their goals. Learn from their experience and insights, gaining valuable knowledge that goes beyond the textbook.
Frequently Asked Questions About Free Udemy Courses 2025
Is this course really free?
Yes, this course is 100% free using our verified coupon code. No hidden fees or subscription requirements.
Do I get a certificate upon completion?
Yes, you'll receive an official Udemy certificate of completion that you can add to your LinkedIn profile and resume.
How long do I have access to the course materials?
You get lifetime access to all course materials, including any future updates and new content added by the instructor.
Can I access this course on mobile devices?
Yes, this course is fully mobile-optimized and can be accessed on any device with an internet connection.
Free Udemy Course Overview
![Applied Time Series Analysis - Free Udemy Course [100% Off]](https://img-c.udemycdn.com/course/750x422/5118670_70f2_9.jpg)
Free Udemy Course Description
How does a commercial bank forecast the expected performance of their loan portfolio?Or how does an investment manager estimate a stock portfolio’s risk?Which are the quantitative methods used to predict real-estate properties?If there is some time dependency, then you know it - the answer is: time series analysis.This course will teach you the practical skills that would allow you to land a job as a quantitative finance analyst, a data analyst or a data scientist.In no time, you will acquire the fundamental skills that will enable you to perform complicated time series analysis directly applicable in practice. We have created a time series course that is not only timeless but also:· Easy to understand· Comprehensive· Practical· To the point· Packed with plenty of exercises and resourcesBut we know that may not be enough.We take the most prominent tools and implement them through Python – the most popular programming language right now. With that in mind…Welcome to Time Series Analysis in Python!The big question in taking an online course is what to expect. And we’ve made sure that you are provided with everything you need to become proficient in time series analysis.We start by exploring the fundamental time series theory to help you understand the modeling that comes afterwards.Then throughout the course, we will work with a number of Python libraries, providing you with a complete training. We will use the powerful time series functionality built into pandas, as well as other fundamental libraries such as NumPy, matplotlib, StatsModels, yfinance, ARCH and pmdarima.With these tools we will master the most widely used models out there:· AR (autoregressive model)· MA (moving-average model)· ARMA (autoregressive-moving-average model)· ARIMA (autoregressive integrated moving average model)· ARIMAX (autoregressive integrated moving average model with exogenous variables). SARIA (seasonal autoregressive moving average model). SARIMA (seasonal autoregressive integrated moving average model). SARIMAX (seasonal autoregressive integrated moving average model with exogenous variables)· ARCH (autoregressive conditional heteroscedasticity model)· GARCH (generalized autoregressive conditional heteroscedasticity model). VARMA (vector autoregressive moving average model)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 time series once and for all. Not only that, but you will also get a ton of additional materials – notebooks files, course notes, quiz questions, and many, many exercises – everything is included.This is the only course that combines the latest statistical and deep learning techniques for time series analysis. First, the course covers the basic concepts of time series:stationarity and augmented Dicker-Fuller testseasonalitywhite noiserandom walkautoregressionmoving averageACF and PACF,Model selection with AIC (Akaike's Information Criterion)Then, we move on and apply more complex statistical models for time series forecasting:ARIMA (Autoregressive Integrated Moving Average model)SARIMA (Seasonal Autoregressive Integrated Moving Average model)SARIMAX (Seasonal Autoregressive Integrated Moving Average model with exogenous variables)We also cover multiple time series forecasting with:VAR (Vector Autoregression)VARMA (Vector Autoregressive Moving Average model)VARMAX (Vector Autoregressive Moving Average model with exogenous variable)Then, we move on to the deep learning section, where we will use Tensorflow to apply different deep learning techniques for times series analysis:Simple linear model (1 layer neural network)DNN (Deep Neural Network)CNN (Convolutional Neural Network)LSTM (Long Short-Term Memory)CNN + LSTM modelsResNet (Residual Networks)Autoregressive LSTMThroughout the course, you will complete more than 5 end-to-end projects in Python, with all source code available to you.
Frequently Asked Questions About Free Udemy Courses
What is this Free Udemy course about?
The Applied Time Series Analysis - Free Udemy Course [100% Off] course provides comprehensive training designed to help you gain practical skills and deep knowledge in its subject area. It includes 0.0 hours of video content, 8 articles, and 0 downloadable resources.
Who is this Free Udemy course suitable for?
This course is designed for learners at all levels — whether you're a beginner looking to start fresh or an experienced professional wanting to deepen your expertise. The lessons are structured to be accessible and engaging for everyone.
How do I access the Free Udemy course materials?
Once enrolled, you can access all course materials through the learning platform on any device — including desktop, tablet, and mobile. This allows you to learn at your own pace, anytime and anywhere.
Is there lifetime access to this Free Udemy course?
Yes! Enrolling in the Applied Time Series Analysis - Free Udemy Course [100% Off] course grants you lifetime access, including any future updates, new lessons, and additional resources added by the instructor.