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There are 5 modules in this course
This course teaches you to harness AI-powered tools for code generation, focusing on SQL, Python, and R for data analysis tasks. The target learner for this course is a seasoned data professional or an aspiring analyst. This comprehensive program empowers. The course covers the design and implementation of automated data processing pipelines, enabling you to streamline your entire data analysis workflow.
Upon completion of this course, you'll be able to:
- Generate code snippets for data analysis tasks using AI
- Create and optimize formulas for data manipulation and analysis
- Design automated data processing pipelines with generative AI
- Integrate AI capabilities into existing coding environments and workflows
Lays the foundation for using generative AI in coding by introducing key concepts, tools, and techniques for effective code generation and prompt engineering.
What's included
11 videos8 readings4 assignments
Show info about module content
11 videos•Total 50 minutes
The code whisperer: A data analyst's new best friend•2 minutes
Demo: Code generation unveiled•5 minutes
Real-world code generation: Use cases and lessons learned•6 minutes
A day in the life of AI-powered data analysis•6 minutes
The prompt whisperer's secret•2 minutes
Explore the art of prompt engineering•5 minutes
The data cleaning dynamo: AI to the rescue•2 minutes
Simplifying data transformations with AI•5 minutes
The human-AI tag team: Together, we code better•3 minutes
Collaborating with AI: The key to code generation success•6 minutes
Code comparison: Human vs. AI•6 minutes
8 readings•Total 80 minutes
Coding and Automation for Data Analysis with Generative AI syllabus•10 minutes
GenAI Tools for Data Analysis: A Practical Guide•10 minutes
The rise of generative AI in data analysis•10 minutes
Code generation tools: A comparative guide•10 minutes
Prompt engineering best practices: Your visual guide to communicating with AI•10 minutes
The power of automation in data analysis•10 minutes
Automation beyond the basics: Advanced applications of generative AI•10 minutes
Evaluating generative AI: A visual guide to metrics and benchmarks•10 minutes
4 assignments•Total 75 minutes
Introduction to code generation•15 minutes
Prompt engineering for code generation•15 minutes
Automating data tasks with generative AI•15 minutes
Code generation fundamentals•30 minutes
Building formulas
Module 2•4 hours to complete
Module details
Explores the use of generative AI to automate and streamline the creation, customization, and implementation of formulas within various data analysis tools, focusing on enhancing efficiency and accuracy.
What's included
13 videos6 readings4 assignments
Show info about module content
13 videos•Total 64 minutes
The case of the missing data: How formulas save the day•3 minutes
Excel formula refresher: Your essential toolkit•7 minutes
Everyday heroes: Excel formulas in action•3 minutes
The AI formula whisperer: Your coding companion•3 minutes
Generating formulas with AI•6 minutes
The prompt is mightier than the formula•6 minutes
Fine-tuning your AI formulas•6 minutes
Generative AI and formula creation•6 minutes
Supercharge your analysis: AI formulas in action•3 minutes
How to use AI to create powerful Excel dashboards•6 minutes
Level up your analysis: Advanced Excel formula techniques•10 minutes
The future of formulas: AI's expanding role•10 minutes
Optimizing tool performance with AI formulas•10 minutes
The art of formula creation with AI•10 minutes
Case studies: Complex formulas made easy with AI•10 minutes
4 assignments•Total 90 minutes
Activity: Excel formula challenge•30 minutes
Generative AI and formula creation•15 minutes
Implementing AI-generated formulas•15 minutes
Building formulas•30 minutes
Advanced coding techniques
Module 3•3 hours to complete
Module details
Expand your coding capabilities by leveraging generative AI for complex code snippets, debugging, and customization, addressing specific data analysis challenges.
Unravel the mystery: Debugging AI-generated code•3 minutes
Navigate common pitfalls in AI-generated code•6 minutes
Demo: Error detection in practice: Using code editors and debugging tools•5 minutes
The debugging toolkit: Equipping you for code success•2 minutes
Demo: Debugging tools in action•5 minutes
Debugging strategies for data analysts•5 minutes
The quest for efficiency: Factors impacting AI-generated code performance•5 minutes
Unlocking hidden performance boosts in AI models•5 minutes
The AI coding dilemma: A debate•3 minutes
Demo: Scale and accelerate coding tasks with generative AI•6 minutes
Evaluating generative AI for coding•5 minutes
The limitations of AI coding: Navigating the pitfalls•3 minutes
6 readings•Total 60 minutes
Troubleshooting AI-generated code•10 minutes
Tackling complex errors in AI-generated code•10 minutes
Debugging resources and communities: Your support network•10 minutes
Prompt optimization techniques•10 minutes
Measuring code efficiency: Key metrics and tools•10 minutes
When to use (and not use) AI for coding•10 minutes
4 assignments•Total 75 minutes
Troubleshooting AI-generated code•15 minutes
Debugging strategies and tools•15 minutes
Optimizing AI-generated code•15 minutes
Advanced coding techniques•30 minutes
1 discussion prompt•Total 10 minutes
Troubleshooting AI-generated code•10 minutes
Automation and integration
Module 4•3 hours to complete
Module details
Guides learners in streamlining their data analysis workflows by identifying automation opportunities, integrating generative AI tools into coding environments, and automating key tasks like data cleaning, transformation, and visualization.
What's included
10 videos5 readings5 assignments
Show info about module content
10 videos•Total 43 minutes
A data analysis journey from chaos to clarity•3 minutes
Explore the data analysis life cycle•5 minutes
The coder's unexpected ally•2 minutes
Achieve seamless integration: Connect AI tools to your coding environment•5 minutes
Integration adventures: Choosing the best path for your workflow•2 minutes
The AI data cleanup crew•2 minutes
Transform data with AI: Uncover hidden insights•6 minutes
AI-powered visualization: From data to insights•5 minutes
Measuring the impact of automation•6 minutes
The automation skeptic•6 minutes
5 readings•Total 50 minutes
The automation mindset: Embracing AI for efficiency•10 minutes
Choosing the right integration method•10 minutes
Automation in action: Real-world success stories•10 minutes
The return on investment with AI automation•10 minutes
The future of data analysis automation: Trends and prediction•10 minutes
5 assignments•Total 105 minutes
The data analysis life cycle and automation opportunities•15 minutes
Integrating generative AI into coding environments•15 minutes
Activity: Integrating GenAI into your coding environment•30 minutes
Automating data processing tasks•15 minutes
Automation and integration•30 minutes
GenAI in action: Data case studies
Module 5•4 hours to complete
Module details
Solidify coding skills and enhance practical experience by applying generative AI in real-world data analysis projects, fostering collaboration and receiving valuable feedback to improve code quality and problem-solving abilities.
What's included
9 videos7 readings6 assignments
Show info about module content
9 videos•Total 45 minutes
GenAI's data adventure: A journey through the AI landscape•3 minutes
Demystifying generative AI: A glossary for data analysts•5 minutes
Project walkthrough: Data cleaning and exploration with GenAI•5 minutes
Project showcase: Predicting customer churn with generative AI•5 minutes
Real-world applications of generative AI in data analysis•6 minutes
The power of feedback: Excelling at code review•5 minutes
Workflow design workshop: Crafting custom solutions with AI•5 minutes
Demo: Building a workflow from scratch•5 minutes
GenAI and the future of work•5 minutes
7 readings•Total 70 minutes
Generative AI for data analysts: A comprehensive guide•10 minutes
The GenAI ecosystem: A vibrant network of models, tools, and platforms•10 minutes
Generative AI case studies: Data analysis across industries•10 minutes
Code review best practices: A guide to effective collaboration•10 minutes
The ethics of AI-generated code•10 minutes
Workflow optimization tips: A guide to efficiency•10 minutes
Real-world workflow examples: Inspiration from industry leaders•10 minutes
6 assignments•Total 150 minutes
Key concepts and terminology in generative AI for data analysis•15 minutes
Practical applications of generative AI in data analysis•15 minutes
Analyzing and improving AI-generated code•15 minutes
Activity: Enhancing AI-generated code•30 minutes
Project: Beyond the build: Critical reflection on workflow design•45 minutes
Designing and automating workflows with GenAI•30 minutes
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