New Release
Preparing Data for Dividend Stock Forecasting Models
Book 2 of the Canadian Dividend Aristocrats Forecasting Series gives readers a practical, hands-on foundation for preparing high-quality data for forecasting models. Learn how to collect, clean, and prepare stock market data for accurate time series forecasting in R. This book covers sourcing data, preprocessing, handling missing values, and performing exploratory data analysis on 11 Canadian Dividend Aristocrats, a practical, hands-on guide for investors and analysts looking to build reliable forecasting models.
Biography
Chuck Egboka
Chuck Egboka is a data analyst and consultant with over a decade of experience using data science to solve real-world problems. Formerly a sessional lecturer in natural gas reservoir engineering and a data analytics instructor, he is a registered Professional Engineer in Canada. As a Principal Consultant at Cuttell Consulting Services Inc., he specializes in time series forecasting, R programming, and DIY investment strategies, including those focused on Canadian Dividend Aristocrats. Through this series, he helps readers use practical tools to grow and manage their portfolios with confidence.
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Non-Fiction
Foundations of Time Series Forecasting for Canadian Dividend Stocks
$14.69ClearEbookPaperback
This series will guide your audience through the fundamentals of R, building a strong foundation for more advanced topics like financial analysis. This will form the basis for exploring the various time series models for forecasting future stock and portfolio performance for Dividend Stock Forecasting