Data Science-Forecasting&Time series Using XLMinerR&Tableau
4.2
Udemy1,345 learners
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This course on Forecasting using XLminar, Tableau, and R is designed to cover the majority of capabilities from an Analytics & Data Science perspective. Learn about scatter diagrams, autocorrelation functions, confidence intervals, and more, all required for understanding forecasting models. Discover the usage of XLminar, R, and Tableau for building forecasting models, as well as the science behind forecasting and forecasting strategies. Plus, learn about forecasting models such as AR, MA, ES, ARMA, ARIMA, and more, and how to accomplish the same using the best tools. Finally, explore Logistic Regression and Forecasting Techniques such as Linear, Exponential, Quadratic Seasonality models, Linear Regression, Autoregression, Smoothing Methods, Seasonal Indexes, and Moving Average.
Forecasting and Demand Planning Essentials
3.5
Udemy198 learners
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This course provides an introduction to one of the most important concepts in supply chain management: forecasting and demand planning. It is designed to help companies that sell products to consumers understand the practical relevance of forecasting techniques and the process of demand planning. Through this course, participants will gain a better understanding of the importance of forecasting and demand planning, and how to use them to their advantage. With this knowledge, they will be able to make more informed decisions and improve their business operations.
Demand Planning & Forecasting - Best Practices
3.6
Udemy1,100 learners
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This course on Demand Planning & Forecasting - Best Practices is the most viewed and top-rated course on Udemy. Learn how to use current and historical data to make accurate predictions for future trends and forecasts. Get the industry-leading tips, techniques, and best practices for your Demand Planning & Forecasting process. With this course, you'll be able to make informed business decisions and develop data-driven strategies. Don't miss out on this opportunity to learn from an experienced professional and get the most out of your forecasting process. Enroll now and see the future of your business!
Time Series Analysis and Forecasting using Power BI
3.4
Udemy87 learners
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This course is perfect for business analysts, finance professionals, Python developers, and Power BI and Excel users who are interested in time series analysis and forecasting. Students will learn about the forecasting models available in Power BI, and gain hands-on experience in advanced error handling techniques in Power Query. They will be able to manipulate the forecast line efficiently for daily, monthly, and yearly predictions of univariate data, and tune parameters efficiently for cyclical and seasonal datasets. A basic understanding of Power BI is recommended, but prior experience with Power Query or writing M scripts is not required.
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