This course provides a comprehensive introduction to the essential tools used by AI Business Data Analysts. It is designed for beginners who want to gain hands-on experience with industry-standard software and platforms for data analysis, visualization, and AI-powered decision-making.
Course Objectives:
- Understand the role of AI in business data analysis
- Learn how to use key tools such as Excel, SQL, Power BI, and Python for data analytics
- Explore AI-powered platforms like ChatGPT, Google AutoML, and Microsoft Power Automate
- Gain practical experience in data cleaning, transformation, visualization, and reporting
- Develop foundational skills in automating business processes using AI tools
Course Outline:
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Introduction to AI in Business Analytics
- What is AI Business Data Analysis?
- The importance of AI-driven insights in decision-making
- Overview of the AI Business Data Analyst toolkit
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Excel for Data Analysis
- Advanced formulas and functions
- Data cleaning and manipulation
- Pivot tables and charts
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SQL for Data Querying
- Basics of relational databases
- Writing and optimizing SQL queries
- Data extraction and transformation
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Power BI for Data Visualization
- Connecting to various data sources
- Creating interactive dashboards
- AI-powered insights and forecasting
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Python for Business Data Analytics
- Introduction to Jupyter Notebook
- Data processing with Pandas and NumPy
- Basic automation and AI-powered analysis
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AI Tools for Business Optimization
- ChatGPT and AI-driven business solutions
- Google AutoML for predictive analytics
- Microsoft Power Automate for workflow automation
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Capstone Project
- Hands-on project using learned tools
- Real-world business data analysis scenario
- Presentation of findings and insights
Who Should Take This Course?
- Business professionals looking to integrate AI into their decision-making process
- Aspiring data analysts and business intelligence specialists
- Anyone interested in learning AI-powered data analytics tools
By the end of this course, students will have a strong foundation in using AI-enhanced tools for business data analysis, enabling them to make data-driven decisions efficiently.
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