As of now, from big companies to the start-up, the majority of the business leaders are looking for skilled Artificial Intelligence & Machine Learning experts who have the ability to create accurate Forecasting Sales Models for their companies. Despite all the demand and implementation of these models, there are many companies that get sales forecasting wrong. To curb this issue, we have created this exclusive online AI & ML based course that focuses entirely on the Forecasting Sales Model. It will be based on Time Series Models and Stochastic Gradient Boosting by using the R programming language.
Why you should learn to build a Forecasting Sales Model?
Important for various companies
Useful for budgeting
Good for setting expectations for the C-Suite
Highly used for planning the financial growth
An essential aspect for marketers
Why you should take this course?
This online course was created with the goal to inform you about the importance of sales forecasting and different tools required to build a machine learning model using R programming for Forecasting Sales. It will tell you how to implement the model along with measuring its accuracy and its improvement. This online tutorial unfolds with the basic concepts and then gives you insights into data analysis, time series forecasting, gradient boosting model and so much more.
This course includes:
Intro To Data Analytics
Exploratory Data Analysis
Time Series Forecasting
Gradient Boosting Modeling
Evaluating the Models
Summary & so much more.
Get started with this course to build a real-time model on Forecasting Sales using R programming Time Series Models and Stochastic Gradient Boosting!
Who this course is for:
Anyone who wants to learn data analysis and sales forecasting using R programming
Eduonix creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade. We aim to teach technology the way it is used in industry and professional world. We have professional team of trainers for technologies ranging from Mobility, Web to Enterprise and Database and Server Administration.