Business Intelligence & Tableau
Instructor
admin
- Description
- Curriculum
- Reviews
Module 1: Introduction to Business Intelligence
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1
Overview of BI: Understanding the role of BI in data-driven decision-making. -
2
BI Tools Survey: Exploring popular BI tools with a focus on Tableau.
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3
Data Ecosystem: Introduction to data sources, databases, data warehouses, and data lakes.
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4
Data Governance & Quality: Best practices for ensuring data integrity and compliance.
Module 2: Data Preparation & SQL Basics
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5
SQL Fundamentals: Creating, manipulating, and building reports from database tables.
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6
Data Cleaning: Techniques for handling missing values, duplicates, and outliers.
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7
Data Transformation: Using SQL and Tableau Prep for data reshaping.
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8
Data Integration: Combining data from multiple sources into Tableau.
Module 3: Tableau Fundamentals
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9
Getting Started with Tableau: Installing Tableau Public/Professional and navigating the interface.
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10
Connecting to Data Sources: Importing data from Excel, CSV, SQL databases, and more.
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11
Basic Visualizations: Creating bar charts, line graphs, pie charts, and scatter plots.
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12
Data Exploration: Using filters, groups, sets, and hierarchies for data analysis.
Module 4: Advanced Tableau Techniques
Module 5: Dashboard Design & Storytelling
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17
Dashboard Principles: Designing interactive and user-friendly dashboards.
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18
Data Storytelling: Crafting narratives to communicate insights effectively.
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19
Best Practices: Ensuring clarity, consistency, and accessibility in visualizations.
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20
Performance Optimization: Techniques for improving dashboard efficiency.
Module 6: BI Reporting & Deployment
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21
Publishing Dashboards: Sharing visualizations via Tableau Server, Tableau Cloud, or Tableau Public.
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22
Scheduled Refreshes: Automating data updates for real-time reporting.
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23
User Permissions: Managing access and security settings.
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24
Collaboration: Integrating Tableau with other BI tools and platforms.
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Course details
Lectures
24
Level
Intermediate
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