Data Analytics with AI 

Data and AI
GenAI
Generative AI

Master data-driven decision-making with AI! Learn how to analyze, interpret, and predict trends using powerful AI tools. 

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What will you learn?

Dive into the world of data analytics, supercharged by AI! This course introduces you to the key concepts and methods of data analytics while showing you how AI is revolutionizing the field. You will learn to conduct exploratory data analysis, uncover insights, and make predictions using tools like Python, Tableau, and Power BI. Through real-world case studies and hands-on projects, you will gain practical skills to analyze and interpret data with confidence. Perfect for anyone looking to make smarter, data-driven decisions in their work or projects. 

Key takeaways

  1. Master AI-powered data analytics 
  2. Learn tools like Python and Tableau 
  3. Conduct exploratory data analysis 
  4. Understand predictive analytics 
  5. Gain practical, hands-on experience 

Program

  • Introduction to Data Analytics: Explore fundamental methods and concepts. 
  • AI in Data Analytics: Learn how AI is transforming data-driven insights. 
  • Exploratory Data Analysis (EDA): Use AI tools to uncover patterns in data. 
  • Predictive Analytics with AI: Make smarter predictions and forecasts. 
  • Practical Applications: Work on real-world case studies and projects. 

Who is it for?

This course is ideal for professionals and beginners who want to enhance their data analysis skills using AI. Whether you are a data enthusiast or a business professional, this training is for you. 

Requirements

Basic knowledge of the topic is beneficial. 

Why should I do this training?

Practical projects

Work on real-world case studies

In-demand skills

Stay ahead in data-driven decision-making

Top tools covered

Master industry-standard AI tools

What else
should I know?

After registering, you will receive a confirmation email with practical information.

See you soon!

Course information

Includes certification upon completion

No prior coding experience required

10-12 hours of online sessions

Flexible schedules available

Access to course resources post-training

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