Free Online Forecasting Model Courses and Certifications 2024

Learn to build a rolling 12-month cash flow forecast model from scratch with Corporate Finance Institute. the Financial Planning & Analysis (FP&A) course will teach you to create a model with assumptions, financials, supporting schedules and charts. Enroll in the FREE online courses and earn industry-recognized certificates to advance your career. Join the course today and become a first class financial analyst.

Learn how to use Vertex AI to build forecasting models and predict the future. Get best practices for data preparation, explore forecasting algorithms, and train forecasting models with Vertex AI. Get started with Vertex AI and unlock the power of forecasting today.

This session of the FULL COURSE on FINANCIAL MODELLING in EXCEL is perfect for beginners. It covers Sales Forecasting in detail and provides step-by-step guidance on how to automate forecasting using historical financial statements. With this course, you will gain a strong foundation in financial modelling and be able to confidently create financial models in Excel to support decision-making in your professional life. Start your journey towards becoming a financial modelling expert now!

This course prepares participants to make more accurate financial forecasts with standard format generally accepted accounting principles (GAAP) financial statements. Business Intelligence (BI) and Financial Forecasting is an applied primer in forecasting using new techniques resulting from the growth in Big Data and BI techniques. Learn how to differentiate between conventional financial forecasts based on simple growth assumptions and financial forecasts using growth rates derived from data. Get Continuing Education Credit (e.g. CPE, CE, CPD, etc.) for this course when taken on the Illumeo dot com platform. Over two dozen corporate professional certifications are covered, including finance, accounting, treasury, internal audit, HR, and more. Sign up today and start forecasting with confidence!

This course is the perfect opportunity to learn and practice time series analysis and forecasting with R. With the help of 3 distinct projects, you will learn how to work with trending data, model seasonal datasets, and connect R to Yahoo Finance to scrape stock data. You will also learn how to create standard and ggplot2 time series visualizations, compare models with time series cross validation, and impute missing data. With the help of this course, you will be able to check which weekday is the best for buying and selling stocks. With the 30 days money back guarantee, lifetime access, instructor support, and a certificate for your CV, this course is the perfect way to learn and practice time series analysis and forecasting with R.

This course will teach you how to use Tableau to handle time series data and forecasting. You will learn about data roles, moving averages, time-based filtering, and Tableau's internal forecasting tools. Additionally, you will learn how to integrate the R forecast package into Tableau to do ARIMA modeling without prior R knowledge. This course is designed for those who already know the basics of Tableau, so you can focus on time series and forecasting. Valuable skills like these are sure to be a career booster, so don't forget to add this course to your CV.

This course is perfect for anyone who wants to learn how to forecast anything with Excel. With over 1,600 worldwide students enrolled, this course will teach you step-by-step instructions for creating statistical forecasts applied to any time series. You will learn how to forecast your own data using state-of-the-art statistical methods, but explained in a friendly way. You will also learn how to proficiently use Excel regarding variables, functions and graphs. With this course, you will be able to apply these methods in order to forecast your own key variables/data for better decision-making. You will also get quick easy quizzes with detailed answers, so you can learn faster. Don't miss out on this opportunity to learn how to forecast anything with Excel!

This course will teach you how to predict the future using Forecasting Models and Time Series Analysis in R. You will learn the intuition behind the models without focusing too much on the math, and gain a thorough understanding of the most impactful forecasting model techniques. You will also apply what you learn immediately with exercises and challenges, and code together line by line with the instructor. Join this course and learn how to predict the future!

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.

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.

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!

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.

This course on Demand Forecasting will provide students and professionals with the knowledge and skills to accurately forecast demand. Through 28 lectures, you will learn the different methods of forecasting, including qualitative methods such as Delphi method, Sales force forecasting, Executive opinion and Customer survey/market research. You will also learn how to find the forecast when the historical data has a trend, as well as the fundamentals of simple moving average, weighted moving average, exponential smoothing, and seasonal influence in forecasting. Finally, you will learn how to measure forecasting error using Mean Squared error (MSE), Standard deviation (sigma), Mean absolute deviation (MAD) and Mean absolute percent error (MAPE). This course is ideal for those studying operations management or working in the IT industry.

Demand forecasting is an essential tool for businesses to plan, set goals, and budget for the future. This course provides a beginner's guide to understanding demand forecasting and its importance. Learn how to use historical data and other information to anticipate customer demand, optimize inventory levels, increase inventory turnover rate, and identify and rectify any issues in the sales pipeline. Plus, gain insight into upcoming cash flow and when to increase staff and allocate resources. Get the skills you need to make informed decisions and ensure your business runs smoothly.

This course is designed to help data analysts, business practitioners, and students build a broad range of forecasting models in Excel. It covers topics such as simple models, advanced models, regression analysis, seasonality, and ARIMA models. With this course, you can learn the fastest and easiest way to build models in Excel, even if you have only basic Excel skills. You can apply the forecasting models to different fields of business administration, biology, chemistry, medicine, project management, budgeting, finance, marketing, engineering, and pricing. Practical Forecasting with Excel is the perfect course for anyone looking to gain a better understanding of forecasting and Excel.

This course will teach you how to build a powerful forecasting engine in Python to predict demand in the Supply Chain. You will learn advanced forecasting models and how to optimize and select the best model for your data. With over 3000 SKUs and 5 years of data, you will gain practical knowledge and build a fully automated forecasting engine. Visualize your forecasted data and errors in an intuitive way and master the key skill of Supply Chain Management.