Certified Artificial Intelligence for Data Analysts Training Course in Annapolis (2024)

Certified Artificial Intelligence (AI) for Data Analysts Training Course Outline

Module 1: Introduction to AI for Data Analysts

• Understanding Artificial Intelligence and Machine Learning
• Key AI Concepts and Terminologies for Data Analysts
• The Role of AI in Modern Data Analysis

Module 2: AI-Driven Data Collection and Preprocessing

• Automated Data Collection with AI Tools
• Data Cleaning and Preprocessing Using AI
• AI Techniques for Data Normalization and Transformation
• Practical Applications of AI in Data Preprocessing

Module 3: Machine Learning Fundamentals

• Introduction to Machine Learning and Its Types
• Supervised vs. Unsupervised Learning
• Key Algorithms and Models in Machine Learning
• Practical Applications of Machine Learning in Data Analysis

Module 4: Advanced AI Techniques in Data Analysis

• Deep Learning and Neural Networks
• Natural Language Processing (NLP) for Text Analysis
• Computer Vision for Image and Video Analysis
• Case Studies of Advanced AI Techniques in Data Analysis

Module 5: AI in Predictive and Prescriptive Analytics

• Building Predictive Models with AI
• Using AI for Prescriptive Analytics and Decision Making
• AI for Forecasting and Trend Analysis
• Practical Applications of Predictive and Prescriptive Analytics

Module 6: AI Tools and Frameworks for Data Analysts

• Overview of Popular AI Frameworks and Libraries
• Integrating AI Tools into Data Analysis Workflows
• Best Practices for Using AI Libraries and APIs
• Enhancing Data Analysis with AI Tools

Module 7: AI for Data Visualisation and Reporting

• AI-Driven Data Visualisation Techniques
• Creating Interactive Dashboards with AI Tools
• Enhancing Reporting with AI-Generated Insights
• Case Studies of AI in Data Visualisation and Reporting

Module 8: Ethical and Legal Considerations in AI for Data Analysis

• Understanding Ethical Implications of AI in Data Analysis
• Legal Framework and Compliance Issues
• Responsible Use of AI in Data Practices
• Future Trends and Challenges in AI for Data Analysts

Who Should Attend Certified Artificial Intelligence (AI) for Data Analysts Training

This course is designed for data analysis professionals seeking to leverage AI in their data analysis practices. The ideal audience includes:

• Data Analysts
• Business Analysts
• Data Scientists
• Data Engineers
• BI Analysts
• Research Analysts
• Data Visualisation Specialists

Prerequisites of Certified Artificial Intelligence (AI) for Data Analysts Training

There are no formal prerequisites for attending this AI for Data Analysts Training. However, having a basic understanding of data analysis principles, familiarity with data analysis tools and techniques, and an interest in artificial intelligence and machine learning applications would be beneficial for the delegates.

Certified Artificial Intelligence (AI) for Data Analysts Training Course Overview

The Certified Artificial Intelligence (AI) for Data Analysts training course is designed to equip data analysis professionals with the knowledge and skills to integrate AI into their data analysis practices. As AI continues to revolutionise data analysis, this course offers a comprehensive understanding of how AI can enhance data collection, preprocessing, analysis, visualisation, and reporting. By mastering these AI-driven techniques, participants can significantly advance their careers, opening up new opportunities in the rapidly evolving field of AI-enhanced data analysis.

This 1-day AI for Data Analysts Training course provide delegates with comprehensive knowledge of AI in data analysis, AI-driven data collection and preprocessing, machine learning fundamentals, advanced AI techniques, predictive and prescriptive analytics, AI tools and frameworks, data visualisation and reporting, and ethical and legal considerations. Delegates will gain practical knowledge on implementing AI tools and platforms, integrating AI with existing data analysis workflows, and following best practices for AI in data analysis. Real-world examples and case studies will demonstrate the transformative potential of AI in enhancing data analysis practices and improving overall data-driven decision-making.

Course Objectives

• Understand the role and benefits of AI in modern data analysis practices.
• Learn to use AI for automated data collection and preprocessing.
• Develop skills to implement machine learning models and advanced AI techniques.
• Explore AI tools for predictive and prescriptive analytics.
• Gain insights into AI-driven data visualisation and interactive reporting.
• Discuss the ethical and legal implications of using AI in data analysis.

• See trainer’s screen
• Virtual whiteboard
• Share documents
• Works on all devices

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