ChatGPT Essentials
for Data Analytics Course
About this Power BI Course:
The ChatGPT Essentials for Data Analytics is a one-day training that explores how artificial intelligence can complement traditional data analysis. This course equips you with practical tools and tricks to streamline your processes and uncover valuable insights in today’s ever-evolving digital landscape.
This course focuses on integrating ChatGPT into data analytics processes, enabling participants to enhance decision-making and refine business strategies. By the end of the training, you’ll gain practical skills to excel in the evolving field of data analytics and lead with confidence.
Prerequisites:
You’ll need an active ChatGPT Plus subscription and a free Google account to access the materials and complete the tasks for this training. A good understanding of Excel, especially with LOOKUP functions and Pivot Tables, is recommended. While knowledge of Power BI isn’t required, it can be beneficial.
Who should take this ChatGPT course?
This course is tailored for professionals looking to integrate AI into their work in meaningful and practical ways. You’ll learn how to leverage AI tools to enhance productivity, improve decision-making, and approach challenges with fresh, innovative solutions. Whether you’re new to AI or have some prior experience, this course focuses on actionable strategies to help you stay competitive and achieve tangible results in your field.
Why Power BI Training by AMZ?
We deliver all of our Power BI trainings and courses in partnership with Dynamic Web Training.
Upcoming Dates
Sydney
Date | Day | Training Mode |
30 Jun 26 | Tue | Online Live |
18 Aug 26 | Tue | Online Live |
01 Oct 26 | Thu | Online Live |
10 Nov 26 | Tue | Online Live |
14 Jan 27 | Thu | Online Live |
Email us for more details | ||
Melbourne
Date | Day | Training Mode |
30 Jun 26 | Tue | Online Live |
18 Aug 26 | Tue | Online Live |
01 Oct 26 | Thu | Online Live |
10 Nov 26 | Tue | Online Live |
14 Jan 27 | Thu | Online Live |
Email us for more details | ||
Brisbane
Date | Day | Training Mode |
30 Jun 26 | Tue | Online Live |
18 Aug 26 | Tue | Online Live |
01 Oct 26 | Thu | Online Live |
10 Nov 26 | Tue | Online Live |
14 Jan 27 | Thu | Online Live |
Email us for more details | ||
Canberra
Date | Day | Training Mode |
30 Jun 26 | Tue | Online Live |
18 Aug 26 | Tue | Online Live |
01 Oct 26 | Thu | Online Live |
10 Nov 26 | Tue | Online Live |
14 Jan 27 | Thu | Online Live |
Email us for more details | ||
Adelaide
Date | Day | Training Mode |
30 Jun 26 | Tue | Online Live |
18 Aug 26 | Tue | Online Live |
01 Oct 26 | Thu | Online Live |
10 Nov 26 | Tue | Online Live |
14 Jan 27 | Thu | Online Live |
Email us for more details | ||
Perth
Date | Day | Training Mode |
30 Jun 26 | Tue | Online Live |
18 Aug 26 | Tue | Online Live |
01 Oct 26 | Thu | Online Live |
10 Nov 26 | Tue | Online Live |
14 Jan 27 | Thu | Online Live |
Email us for more details | ||
ChatGPT Essentials for Data Analytics Course Outline
Unit 1: Understanding AI and Data Analytics
✅ Overview of AI and Data Analytics
✅ Historical Development and Evolution of AI
✅ Importance of AI in Business Context
✅ Addressing Common AI Myths and Misconceptions
✅ Challenges and Limitations of AI
Unit 2: AI Applications in Business
✅ Overview of AI Applications across Business Sectors
✅ AI Technologies Pioneering Business Innovation
✅ Influence of AI on Business Strategy and Operations
✅ Case studies: Best Practices from Successful AI
✅ Implementations Potential Pitfalls in Business AI Integration
Unit 3: Introduction to LLMs and ChatGPT
✅ Introduction to Large Language Models (LLMs)
✅ Unveiling OpenAI’s GPT Series
✅ Comprehensive Look at ChatGPT
✅ Tailoring ChatGPT Responses
✅ Business Applications of LLMs and ChatGPT
Unit 4: Learning Prompt Engineering
✅ Crafting Effective Prompts
✅ Persona Pattern
✅ Question Refinement Technique
✅ Audience Persona Technique
✅ Flipped Interaction Strategy
✅ Educating the Model: Few-Shots Prompts
✅ Interactive Gameplay for Prompt Engineering
✅ Template Design Pattern
✅ Recipe Formation Pattern
✅ Alternative Approaches and Techniques
✅ Using the Outline Method
✅ Fact Verification Techniques
✅ Best Practices in Prompt Engineering
Unit 5: ChatGPT for Excel and Google Sheets
✅ Mastering Excel Functions
✅ Formulating Complex Formulas
✅ Automating Tasks through VBA
✅ Generating Sample Data Sets
✅ Transitioning from Excel to Google Sheets
✅ Implementing Conditional Formatting
✅ Automation with Google App scripts
Unit 6: ChatGPT for Power BI
✅ Crafting a Comprehensive Data Dictionary
✅ Calendar Table Creation
✅ Incorporating Fiscal Years
✅ Solving Coding Problems in M Language and DAX
✅ Code Formatting and Optimization
✅ Introduction to DAX
✅ Generating DAX formulas
✅ Visualization Tips and Tricks
Unit 7: ChatGPT for Python and SQL
✅ Generating Python Scripts
✅ Collaboration with Google Colab
✅ Advanced Data Visualization Techniques in Python
✅ Grasping Core SQL Principles
✅ Producing SQL Scripts
Unit 8: ChatGPT with Data Analytics
✅ Data operations: Extract, Fill, Visualize, Resolve
✅ Presentation Crafting Techniques
✅ Conflict Identification and Resolution
✅ Advanced Data Grouping and Cleaning
✅ Detecting Data Outliers
✅ Graphics-aided Nutritional Content Display
✅ Techniques for Fraud Detection
✅ Efficient Data Organization
✅ Image Editing and Catalog Production
✅ Product Categorisation with AI
Unit 9: ChatGPT Plugins
✅ Activating Plugins in ChatGPT
✅Delving into Plugin Processes
✅ Internet Access Techniques
✅ Role of an AI Data Analyst
✅ Fetching and Analyzing Quotes
✅ Current Trend Visualization
Unit 10: Enhancing Interaction: ChatGPT's Multimodal Features
✅ Connecting ChatGPT to the Internet
✅ ChatGPT’s Audio-Visual Capabilities
✅ Engaging in Voice Dialogues with ChatGPT
✅ Image-based Task Interaction
✅ Introduction to DELLE within ChatGPT
✅ Ethical Considerations Surrounding ChatGPT
Unit 11: Data Visualization with AI Tools
✅ Exploring Midjourney
✅ Deep Dive into DALLE-2
✅ Initiating Projects with Stable Diffusion
✅ Crafting Images with Bing Image creator
✅Navigating Microsoft Designer
Unit 12: Data Analytics Assistant
✅ Auto-Generating Tailored Prompts
✅ Designing a Personalized Chatbot
✅ Extracting Insights from Excel
✅ Introduction to Monica: The New AI Assistant
✅ Business Task Assistance
✅ Querying Data from PDFs
✅Problem-Solving with Data Notebooks
✅ Making Presentations with Just a Few Clicks
Unit 13: Power BI Playground
✅ Exploring Microsoft Power BI Embedded Analytics Playground
✅ Showcase Navigation Tips
✅ Transitioning from Insights to Actionable Steps
✅ Report Theme and Layout Customization
✅ Crafting Personalized Visual Displays
Unit 14: Leveraging AI Tools
✅ Comprehensive AI tools Dictionary
✅ Exploring Text-Based AI Instruments
✅ AI-Aided Coding Tools
✅ Generative Image Tools
✅Enhancing Communication with AI Tools
Trusted By Top Companies
When you book a Power BI course with AMZ, you become a part of a network of over 8,200 professionals. At the same time, you acquire knowledge from our partnerships with more than 160 esteemed Aussie businesses and governmental organisations.
We’re proud to have trained employees from some of the most renowned companies in Australia. Here’s a glimpse of a few companies we have trained in the past.Â
Why Power BI?
Business Intelligence Market
Worldwide Business Intelligence and Analytics market to grow to $22.8 billion in revenue in the next two years – Gartner
Jobs Opportunities
70 percent of the leading companies say that Analytics is integral to how they make decisions – IBM Survey
Career Growth
A Senior Business Intelligence Analyst can earn $89,000 in the United States – PayScale
For some topics I needed more time to go through the examples, the trainer did assist me when I required assistance.| Rosie