Data Analytics: Power Query Practical Example
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.94 GB | Duration: 1h 53m
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.94 GB | Duration: 1h 53m
Learn Data Analysis with Real Projects: Dive into Audible's Data! Analyze Real Business Data with ChatGPT Assistance!
What you'll learn
Load and prepare datasets using Power Query Editor
Clean and map data for consistency and accuracy
Transform and standardize columns for a professional dataset
Handle common data issues such as missing values and formatting errors
Convert text data to numeric formats suitable for analysis
Transform and merge columns for deeper insights
Integrate ChatGPT to streamline data analysis tasks
Utilize ChatGPT prompts to automate repetitive tasks
Complete a real-world data analysis project with an Audible dataset
Develop confidence in working with raw data and creating actionable insights
Requirements
A computer with internet access
Willingness to learn and work on hands-on projects
Description
Welcome to "Data Analysis with Audible Practical Project using ChatGPT," a unique, hands-on course designed to equip you with essential data analysis skills by working with real-world data from Audible. If you’ve ever wondered how to derive valuable insights from raw data or how data analysis skills can propel your career forward, this course is for you. With a practical project-based approach, this course doesn’t just teach you theory; it immerses you in real data, guiding you step-by-step as you clean, transform, and analyze a dataset. The best part? You’ll learn to harness the power of ChatGPT to optimize and automate parts of your analysis, making you more efficient and competitive in today’s data-driven world.Throughout this course, you’ll work with Power Query Editor, one of the most powerful data preparation tools within Excel, learning how to load, clean, and map data effectively. We’ll go through every essential step, from standardizing and separating data to ensuring consistent formatting and accuracy. You’ll learn practical techniques to handle common data challenges like missing values, inconsistent formatting, and data transformation. By the end of this course, you’ll be able to manage complex datasets with ease, ensuring they’re analysis-ready.Our practical project revolves around Audible’s dataset, giving you insights into how real companies manage data for decision-making. You’ll transform columns, handle ratings and reviews, and fix pricing inconsistencies, all while developing a strong foundation in data analysis. As you progress, you’ll see how to convert text data into meaningful numbers, utilize formulas, and create new data columns that reveal hidden insights within the data. This project will challenge and expand your analytical thinking, empowering you to tackle similar tasks in the real world.But we don’t stop there. This course leverages the capabilities of ChatGPT to assist you in specific data tasks, bringing AI into the data analysis process. With ChatGPT, you’ll learn how to refine prompts to get meaningful outputs, create summaries, and handle repetitive tasks swiftly. This is not just a data analysis course; it’s a leap into the future of work, where AI collaborates with human insight to solve problems. By integrating ChatGPT, you’ll gain an edge, learning how to blend AI tools into your workflow to achieve faster and more accurate results.By the end of this course, you’ll be fully equipped to take on data analysis projects with confidence. You’ll have a comprehensive understanding of the data analysis workflow, from loading raw data to producing insightful conclusions. Whether you’re looking to enter the field of data analytics, improve your current skills, or simply want to understand how businesses make data-driven decisions, this course will provide you with everything you need to get started.
Overview
Section 1: ChatGPT For Data Analytics with Practical Example
Lecture 1 ChatGPT For Data Analytics with Practical Example (Promo)
Lecture 2 Introduction to Data Analytics with Audible Practical Project
Lecture 3 Loading and Mapping Data
Lecture 4 Standardize and Separate Data as Per need
Lecture 5 Convert the time column from text format to a duration format that Excel
Lecture 6 Transform Rating, Reviews and Pricing
Lecture 7 Other Practical Project in Data Analysis
Section 2: Final Data Analytics
Lecture 8 Bonus Lecture
Beginners who want to understand data analysis from scratch,Professionals looking to improve their data analysis skills,Students aiming to integrate AI into their data workflow,Anyone interested in working with real-world data projects,Business owners who want to make data-driven decisions