# Day 9 of #100DaysofAI Hello there!! Today you’ll be developing your prompting skills further by creating an AI business coach using a mega-prompt. Before you get started, just a quick reminder if you ever feel the need to catch up on lessons or to anchor yourself with key concepts or reflections, use your challenge…
Hello there!! Hope you’re feeling a little refreshed from yesterday’s reflection day! Today you’ll be building an audio-to-text note-taking app. Time to transcribe # Task for the day Project: Build an Audio to Text Note-Taking App Estimated time: 30 mins Tools: Glide ## Shot of Inspiration The hardest part is starting. Once you get that out of the…
custom questions
Use the bigquery-public-data.stackoverflow.* data set and answer some of the following questions and come up with some of your own Important Note: The StackOverflow dataset is complex, so these queries provide a starting point. You might need to refine them for accuracy and detail. Getting Started Q1: % of Questions with “?” That Have Accepted…
Hello there!! 👋 Congrats on making it to Day 7! Let’s get into today’s lesson where you’ll reflect on your first week of this challenge. Task for the day 📝🧱 Project: Reflect on your 1st week and complete Checkpoint #1⏲️ Estimated time: 15-20 mins🛠️ Tools: N/A Context building 🏔Whilst very exciting, learning any new skill…
What is a Data Pipeline? Key Components of a Data Pipeline ETL (Extract, Transform, Load) ETL Sequence in Detail When to Consider Traditional ETL Modern Data Pipelines: Extending Beyond ETL Decision Factors: ETL vs. Data Pipeline
Tutorial: Build and Showcase a Data Engineering Project Why a Project Matters Step 1: Project Selection Step 2: Define the Problem & Solution Step 3: The Build Step 4: Coding Best Practices Step 5. Sharing Your Work Step 6: Promote Your Project Additional Tips Let me know if you’d like help brainstorming project ideas or…
Chapter: Data Warehousing Case Study – Optimizing the Value Chain Introduction to the Value Chain A value chain encompasses all the steps involved in transforming raw materials into a finished product or service delivered to the end customer. Data-driven analysis of the value chain can reveal optimization opportunities, boost efficiency, and increase profitability. Data warehouses…
Chapter: Data Warehousing in Retail – A Case Study Introduction Retailers operate in a fast-paced, highly competitive landscape. The ability to extract insights from vast amounts of data is a crucial competitive advantage. Data warehouses, designed specifically for analytics, provide a powerful foundation for retail decision-making. In this chapter, we’ll delve into the principles of…
Chapter 1: Introduction to Data Warehousing Dimensional Modeling Primer** Different Information Worlds Goals of a Data Warehouse The Publishing Metaphor 4 Components of a Data Warehouse Additional Considerations Dimensional Modeling Vocabulary Bringing Together Facts and Dimensions Dimensional Modeling Myths and Common Pitfalls to Avoid