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Course Outline

Introduction

  • Core concepts of Python and SQL
  • Introduction to Tableau's features and architecture

Getting Started

  • Configuring the development environment
  • Comprehending software integration principles

Data Pre-processing in Python

  • Importing libraries and datasets
  • Managing missing data values
  • Data normalization and formatting techniques
  • Conducting regression analysis

Data Analysis with SQL

  • Database setup
  • Connecting Python to SQL
  • Executing database queries
  • Data manipulation through filtering, sorting, and grouping

Data Visualization using Tableau

  • Design principles for effective visualization in Tableau
  • Building dashboards, charts, tables, and maps
  • Exploration of practical examples and use cases

Troubleshooting

Summary and Next Steps

Requirements

  • Working knowledge of SQL concepts and Tableau
  • Experience with Python programming

Intended Audience

  • Data scientists
  • Software developers
 14 Hours

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