Time Series Analysis for Data Science & Analytics in R programming. Demand Planning & Forecasting. Prophet, ARIMA & more
Instructed by Diogo Alves de Resende 9 hours on-demand video, 2 articles & 18 downloadable resources
What you’ll learn
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Gain a comprehensive understanding of time series analysis and forecasting models through hands-on practice and real-world applications
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Implement forecasting models and time series analysis in a business environment to improve performance and efficiency.
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Understand and apply various forecasting models, including Prophet and ARIMA, to make informed business decisions.
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Apply data science and analytics principles to real-world business scenarios through hands-on practice in R.
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Develop proficiency in using R programming for time series analysis in business settings.
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Improve demand planning and forecasting abilities by utilizing time series analysis techniques.
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Learn to analyze and interpret time series data to make predictions about future trends and patterns.
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Utilize R programming to create visualizations and data visualizations to better understand time series data.
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Understand the importance of forecasting models in business operations and decision-making.
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Learn to identify and diagnose common problems and limitations in time series analysis.
Who this course is for:
- Business and data analysts looking into learning about Forecasting
- Finance professionals wanting to modernize their forecasting proccesses
- General data-driven professionals who would like to learn about Forecasting
- Marketing experts interested in finding patterns in sales data
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