Strategies To Improve Your Business Forecasting 50% (or more) | Time Series Learning Lab

Written by Matt Dancho on April 8, 2019

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Business Forecasting (the process of forecasting demand for a business) affects every part of the business from how many people to maintain, how much raw materials to purchase, which suppliers to expedite, and more! Improving your forecasting abilities will save your company a lot of money. In this Learning Lab, we’ll provide strategies that you can implement quickly to improve your forecasts 25%, 50%, 75% or more!

Improving your forecasting abilities will save your company a lot of money.

Join Us this Wednesday (April 10th at 2PM EST) learn proven strategies that improve time series forecasting!

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Topics Covered

  • Business Problems that time series can solve

  • Into to Time Series - Univariate, Multivariate - Pros/Cons

  • Methods - ARIMA, Machine Learning - Pros/Cons

  • Live Coding in R

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Data Science for Business Curriculum

Business Science University is an educational platform that teaches how to apply data science to business. Our offering includes of a fully integrated, project-based 3-Course R-Track.

BSU R-Track Course Curriculum

Each course takes the student through their progression in a data science journey. Begin your journey with DS4B 101-R which teaches foundations using the tidyverse. Next, master machine learning for business with DS4B 201-R, where you learn H2O and many advanced R packages. Finish with DS4B 301-R where you learn to develop high-performing web applications using Shiny, a powerful framework for productionizing R code.

R-Track Curriculum Summary

Business Analysis with R (Beginner) - Data Science Foundations 7-Week course 12 tidyverse Packages 2 business projects
Data Science For Business with R (Intermediate/Advanced) - Machine Learning + Business Consulting 10-Week course H2O, LIME, recipes, and 10 more packages 1 end-to-end business project
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