The program teaches implementation of various data science concepts such as data exploration, visualization, and hypothesis testing. Special focus has been placed on predictive analytics like regression, clustering, and smoothening techniques. The learning path begins with training in business analytics using Excel and moves on to the most in-demand analytics technologies: R & R Studio. Following the solid training in analytics techniques, associates will also gain solid skills in the art of business visualization using Tableau. The entire learning experience is tied together with demos and a final project.
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WORKSHOP AGENDA
This two-day course is designed to impart in-depth training in the concepts and techniques of data analytics while building a foundation in business intelligence. Lear from some of the application areas include which critical product analysis, target marketing, customer lifecycle management, customer service, social media behavior and inventory management, etc.
Day 1
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Introduction to Data Analytics
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Introduction
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Business Applications
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Data types
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Descriptive Statistics & different visualizations
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Types of data distributions and business significance
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Hypothesis Testing and applications
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Statistics with R/R Studio
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Introduction to R/R Studio
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Basic programming in R/R Studio
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Visualization using R/R Studio
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Introduction to regression
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Theory on Simple Linear regression and multiple linear regression
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Theory on Logistic regression
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Prediction using statistical models
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Day 2
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Statistics with R/R Studio
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Time Series Analysis (Moving Average, Exponential Smoothening, ARIMA)
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Classification Techniques / Decision Tree
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Clustering (K Means, Hierarchical Clustering)
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Market Basket AnalysisTableau Analytics
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Tableau Introduction
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Data connection to Tableau
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Calculated fields, parameters, sets, groups in Tableau
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Various visualization in Tableau
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Creating Tableau Dashboard
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Creating Story using Tableau
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Analytics using Tableau
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Clustering using Tableau
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Time series analysis using Tableau
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ABOUT THE WORKSHOP
Duration : 2 Days
Workshop starts at 9.00am and finishes at 6:00pm.
Class size : 15
No more than 15 participants – enough so you have other people to learn from but not too many that you’re lost in the crowd.
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