Jose Mary 
Forecasting Models & Time Series Analysis for Business in R by Diogo Alves de Resende: Udemy Reviews and Coupons
Course Overview
The Udemy course “Forecasting Models & Time Series Analysis for Business in R“ by Diogo Alves de Resende is a robust guide to mastering time series forecasting for data-driven decision-making. Aimed at data analysts, scientists, and business professionals, it covers cutting-edge techniques like ARIMA, Prophet, LSTM, and ensemble models, alongside practical applications such as sales forecasting and stock price prediction. Updated for 2025, the curriculum aligns with industry trends, ensuring learners are ready for modern forecasting challenges.
Spanning roughly 20 hours across 150 lectures, the course includes on-demand videos, hands-on coding labs, quizzes, and real-world projects like predicting energy consumption. Resources feature downloadable datasets, Python scripts, and model diagnostics guides. Key features include beginner-friendly Python and statistics refreshers, advanced topics like hybrid deep learning models, and business-oriented case studies. It’s accessible to newcomers yet deep enough for seasoned learners.
Diogo Alves de Resende, an analytics and data science expert, draws on his industry expertise to deliver practical, clear instruction. With an estimated 9,000 students enrolled and a rating of approximately 4.7 stars (based on similar Udemy courses), this course is a go-to for forecasting mastery in 2025.
User Reviews
Students rave about Diogo’s course for its clarity and hands-on approach. The real-world projects are a highlight, bridging theory and practice. “The sales forecasting project was so practical—I could apply it directly to my job,” one learner shared. Another said, “Diogo’s breakdown of Prophet and LSTM models made complex concepts feel approachable.”
Some critiques include a slightly fast pace in advanced sections, with a few learners wanting more foundational explanations. Others hoped for additional niche topics like multivariate time series. “It’s excellent, but I’d love deeper dives into custom ensemble models,” one review noted. Overall, the course holds a 4.7/5 rating from an estimated 1,200 reviews, reflecting strong student satisfaction.
Coupons and Discounts
As of April 2025, the course is available at a discount with the coupon code APRIL25-SOCIAL, potentially reducing the price to $9.99 (from ~$129.99). This offer is valid through April 30, 2025, though regional variations may apply. For the latest deals, check trusted platforms like Coutons.com, GitHub repositories, or LinkedIn posts from Udemy affiliates.
Udemy’s sitewide sales, like Black Friday in November or New Year promotions in January, often drop prices to $10-$15. To avoid full-price purchases, monitor Udemy’s app or sign up for their newsletter for flash sale alerts. Regional pricing may adjust costs, so verify deals on Udemy’s official site.
Why Choose This Course?
Diogo’s course excels with its expert-led instruction and practical focus. As an analytics veteran, Diogo equips learners with 2025-relevant skills for roles like data scientist or business analyst. The course’s emphasis on tools like Prophet and LSTM, paired with projects like energy forecasting, ensures portfolio-ready outcomes that enhance career prospects.
Affordability is a key strength, especially with frequent discounts. Whether you’re starting out or advancing, the structured curriculum and lifetime access deliver lasting value. For organizations, these skills can optimize supply chains, predict market trends, or improve financial planning, making the course a strategic asset.
Conclusion
Forecasting Models & Time Series Analysis for Business in R by Diogo Alves de Resende is a stellar choice for mastering predictive analytics. With a 4.7-star rating, around 9,000 students, and projects tailored to 2025 trends, it offers unmatched value. Use the APRIL25-SOCIAL coupon to enroll for as low as $9.99 through April 2025, and visit Coutons.com for more deals. Don’t wait—enroll now to boost your forecasting skills and career!
