Subject Details
Dept     : MBA
Sem      : 3
Regul    : R2023
Faculty : Dr.P.Krishnaveni
phone  : 9942063355
E-mail  : krishnaveni.p.mba@snsct.org
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Lecture Notes

UNIT 1:
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Introduction-Analytics and Business Transformation
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Introduction-Analytics and Business Transformation
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Introduction-Analytics and Business Transformation
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Classifications of Analytics
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Classifications of Analytics
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Roles in an Analytics Team
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Classifications of Analytics
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Tools in the Analytics Process
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Common Applications of Analytics in Business
UNIT 2:
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Introduction – Sources of Data for an Organization
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Introduction – Sources of Data for an Organization
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From Assets and Activities to Data
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From Assets and Activities to Data
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Data Provenance and Data Quality
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Data Logistics
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Data Logistics
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Tutorial 1: Sources of Data for an Organization
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Tutorial 2: Data Provenance and Data Quality
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Tutorial 3: Data Logistics
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Tutorial 1: Sources of Data for an Organization
UNIT 3:
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Introduction – Data Schemas and Data Sets
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Introduction – Data Schemas and Data Sets
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Introduction – Data Schemas and Data Sets
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Introduction – Data Schemas and Data Sets
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Common Data Transformations
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Common Data Transformations
UNIT 4:
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Introduction – Power BI Fundamentals
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The Contoso Dataset Analyzing Data Using Power BI
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The Contoso Dataset Analyzing Data Using Power BI
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Tutorial 1: Power BI Fundamentals
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Working with Calculated Measures in Power BI
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Working with Calculated Measures in Power BI
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Tutorial 3: Working with Calculated Measures in Power BI
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Working with Calculated Measures in Power BI
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Tutorial 3: Working with Calculated Measures in Power BI
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Tutorial 3: Working with Calculated Measures in Power BI
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Visualization of Data
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Visualization of Data
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Visualization Case Study
UNIT 5:
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Introduction – Predictive Analytics Workflow
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Introduction – Predictive Analytics Workflow
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Tutorial 1: Introduction to Predictive Analytics
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Machine Learning Background
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Machine Learning in Practice