Forecasting Models & Time Series Analysis for Business in R

Time Series Analysis for Data Science & Analytics in R programming. Demand Planning & Forecasting. Prophet, ARIMA & more

Created by: Diogo Alves de Resende
Analytics and Data Science expert

What Will I Learn?

• Gain a comprehensive understanding of time series analysis and forecasting models through hands-on practice and real-world applications
• Implement forecasting models and time series analysis in a business environment to improve performance and efficiency.
• Understand and apply various forecasting models, including Prophet and ARIMA, to make informed business decisions.
• Apply data science and analytics principles to real-world business scenarios through hands-on practice in R.
• Develop proficiency in using R programming for time series analysis in business settings.
• Improve demand planning and forecasting abilities by utilizing time series analysis techniques.
• Learn to analyze and interpret time series data to make predictions about future trends and patterns.
• Utilize R programming to create visualizations and data visualizations to better understand time series data.
• Understand the importance of forecasting models in business operations and decision-making.
• Learn to identify and diagnose common problems and limitations in time series analysis.

Requirements

• Basic statistics is needed
• Basic R desirable

Target audience

• 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