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Mastering AI Analytics: Data Analysis and Visualization with AI Tools

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This article outlines a comprehensive course on data analysis and visualization using AI tools, covering topics from data types and collection methods to practical applications in Excel, PowerBI, Tableau, Python, SQL, and JavaScript. It includes real-world projects to enhance learning.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes

  • • main points

    • 1
      Comprehensive coverage of various AI tools for data analysis and visualization.
    • 2
      Inclusion of practical projects that apply theoretical knowledge to real-world scenarios.
    • 3
      Step-by-step guidance on using advanced features of popular tools like Excel and Python.

  • • unique insights

    • 1
      Integration of AI tools with traditional data analysis methods enhances analytical capabilities.
    • 2
      Real-world applications provide learners with relevant experience in data-driven decision-making.

  • • practical applications

    • The article offers practical guidance and real-world applications, making it valuable for learners looking to apply AI tools in data analysis.

  • • key topics

    • 1
      Data types and collection methods
    • 2
      Data visualization techniques
    • 3
      AI tools for data analysis

  • • key insights

    • 1
      Combines theoretical knowledge with practical applications across multiple tools.
    • 2
      Focuses on real-world projects that enhance learning and retention.
    • 3
      Covers a wide range of tools, making it suitable for diverse user needs.

  • • learning outcomes

    • 1
      Understand various data types and collection methods.
    • 2
      Gain hands-on experience with AI tools for data visualization.
    • 3
      Develop skills to analyze and interpret data using advanced techniques.
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tutorials
code samples
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advanced content
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best practices

“ Introduction to AI Analytics

The course 'AI Analyst - Data Analysis and Visualization with AI Tools' offers a comprehensive introduction to data analysis in the context of artificial intelligence. It covers essential topics such as the types of data (qualitative and quantitative), methods of data collection in the AI era, and the application of statistical methods in data analysis. Participants will also be introduced to data visualization concepts and the necessary AI tools, including Python, Tableau, Excel, Google Sheets, PowerBI, and various JavaScript libraries.

“ Data Analysis with Excel and Google Sheets

This section focuses on utilizing Excel and Google Sheets for data analysis. Participants will learn the basics of these tools, advanced Excel functions, and predictive analysis using AI extensions. Key topics include creating pivot tables, charts, and leveraging AI analytics in Excel, as well as integrating AI for data visualization and forecasting in Google Sheets. Real-life projects will include trend analysis in social media and predicting marketing campaign success using AI.

“ Business Analytics using PowerBI

PowerBI is a powerful tool for business analytics, and this section introduces its capabilities. Participants will learn how to import, clean, and analyze data using AI in PowerBI. Advanced features such as measures and AI integrations will be explored, along with interactive data visualization techniques. Projects will include analyzing customer reviews and forecasting inventory needs using AI.

“ Data Visualization with Tableau

Tableau is renowned for its data visualization capabilities. This section covers connecting data sources to Tableau, creating dashboards, and utilizing AI tools for storytelling with data. Participants will engage in projects such as analyzing popular Netflix films and predicting sales for e-commerce websites.

“ Data Analysis with Python

Python is a versatile programming language for data analysis. This section introduces Python setup, Jupyter Notebook, and essential libraries like Pandas. Participants will learn data manipulation, cleaning, and analysis techniques using Python, along with visualization methods. Projects will include cryptocurrency price analysis and real estate price forecasting.

“ SQL for Data Analysis

SQL is crucial for data analysis, and this section covers its fundamentals. Participants will learn SQL operations, statistical analysis, and how to visualize query results. Projects will focus on identifying profitable customers and analyzing support ticket trends to optimize team performance.

“ JavaScript for Data Visualization

JavaScript is essential for creating interactive data visualizations. This section introduces D3.js and other libraries like Chart.js and Plotly.js. Participants will work on real-world projects such as visualizing website traffic and content popularity.

“ Practical Projects and Applications

Throughout the course, participants will engage in various practical projects that apply the skills learned in each section. These projects will provide hands-on experience in data analysis and visualization, preparing participants for real-world applications in AI analytics.

 Original link: https://v1.skladchik.org/threads/ai-analitik-analiz-i-vizualizacija-dannyx-s-pomoschju-ai-instrumentov-product-university.419447/

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