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Hybris Training Material

                  Hybris Features and Concepts The Hybris Online Training Features and Concepts track expands the participants' knowledge on infrastructural and business concepts and functionality of selected modules of the Hybris Multichannel Platform. Aim of this course is to make participants understand the features and concepts for the successful planning of projects. Course Description Any technically oriented Hybris Multichannel user will soon be challenged by the scope of the hybris Multichannel Suite's features and concepts. This  Hybris Online Training  course aims to facilitate project work by providing detailed information on architecture and all that can be summed up by the Technical Highlights. We start with a general introduction about the  SAP Hybris Training  itself before all areas of Hybris Software are discussed in detail. SAP Hybris Training Course Content Outline : WARM UP Training Course Introduction Overvie
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Tableau Training Material

                                                      Tableau Course Content Introduction to Tableau Overview of Tableau, data visualization and analytics, elements of the Tableau dashboard, understanding the significance of Tableau Desktop and Tableau Server, extensively work with data visualization using line, bar, area, stacked bar, and multi line charts, connecting with Excel data. Deep dive into Tableau Graphs Various data representation techniques, like Tables, Graphs and Maps understanding the basics of Tree Map, Histogram, Filled Map, Symbol Map, Pie Chart, Trend Lines, Normal Tables and Multi measure Tables. Tableau Table Joins Understanding the conditions and methodology for joining Tables, knowledge of Multi Table Joins. Working with Metadata Working with Table, creation of Calculated Fields, duplicating and renaming columns, conversion of data types, default aggregation. Hierarchy & Groups Tableau Hierarchy creation, Static Group creation, dep
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Data Science Training Material

Description Data Science Course Content Introduction to Data Science, importance of Data Science, statistical and analytical methods, deploying Data Science for Business Intelligence, transforming data, machine learning and introduction to Recommender systems. Reasons to Use Data Science – Project Life cycle How Data Science solves real world problems, Data Science Project Life Cycle, principles of Data Science, introduction to various BI and Analytical tools, data collection, introduction to statistical packages, data visualization tools, R Programming, predictive modelling, machine learning, artificial intelligence and statistical analysis. Data Conversion Converting data into useful information, Collecting the data, Understand the data, Finding useful information in the data, Interpreting the data, Visualizing the data Terms of Statistics Descriptive statistics, Let us understand some terms in statistics, Variable Plots Dot Plots, Histogram, Stemplo
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