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Data Visualization and Business Intelligence Using Tableau

Master the art of transforming complex datasets into meaningful visualizations using Tableau, and learn how to drive data-driven decision-making in organizations.

16 students
Free
  • Last Updated: September 16, 2024
  • English , Persian
h course 1

About Course

Master the art of transforming complex datasets into meaningful visualizations using Tableau, and learn how to drive data-driven decision-making in organizations.

Course Content

Instructor

Hoofar Pourzand
Senior Data Scientist
5.00
(2 Ratings)

With over 11 years of experience in data science, AI, and machine learning, Mr. Pourzand has been at the forefront of developing cutting-edge solutions for startups and established brands alike.

Free
30-Day Money-Back Guarantee
  • Update: September 16, 2024
  • Enrolled16
  • Lectures4
  • Skill LevelIntermediate
  • LanguageEnglish , Persian
  • Course Duration: 20h 15m

Your Instructors

Hoofar Pourzand

Senior Data Scientist

With over 11 years of experience in data science, AI, and machine learning, Mr. Pourzand has been at the forefront of developing cutting-edge solutions for startups and established brands alike.

  • 0 Courses
  • 2 Reviews
  • 0 Students

tryroadmap.com

  • 0 Courses
  • 2 Reviews
  • 0 Students

Mehran

English Teawvher

Histudy The standard chunk of Lorem Ipsum used since the 1500s is reproduced below for those interested.

  • 0 Courses
  • 18 Reviews
  • 0 Students

Requirements

  • A foundational understanding of AI and machine learning concepts.
  • Basic knowledge of Python, including libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with data preprocessing techniques and building training models.
  • Experience working with business or customer data for insights and predictions.
  • Understanding of common business metrics and KPIs to apply AI solutions effectively.

Target Audience

  • Financial analysts who require instant decision-making tools.
  • Software developers tasked with implementing real-time data solutions for high-traffic applications.
  • Data engineers and architects looking to implement Spark for real-time data streaming and processing.
  • Professionals in industries like finance, healthcare, or logistics who need real-time insights from data streams.
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