From Basics To Advanced: Data Analysis Using Chatgpt
Published 12/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Unlock the Power of Generative AI: Simplify, Analyze, and Visualize Data Like Never Before
What you’ll learn
Master the Basics of Generative AI: Understand how ChatGPT automate Data Analysis tasks
Learn to analyze and visualize datasets using AI to uncover trends, detect anomalies, and summarize data effectively
Gain the skills to use ChatGPT for forecasting trends, identifying correlations, and optimizing decision-making processes.
Save time by using ChatGPT to handle repetitive tasks like data cleaning, feature engineering, and report generation.
Explore practical applications of ChatGPT in industries like marketing, finance, and healthcare to solve real business challenges.
Requirements
This course is beginner-friendly and does not require any prior knowledge of data analysis or AI.
A general familiarity with using a computer and navigating online tools is helpful but not mandatory.
While not required, having access to ChatGPT or similar generative AI platforms will enhance your hands-on learning experience.
The only real prerequisite is a curiosity about how AI can transform data analysis and a willingness to experiment with new tools and techniques.
Description
Overview
Section 1: Introduction to Generative Ai in Data Analysis
Lecture 1 Introduction to Generative Ai in Data Analysis
Lecture 2 Exploring Generative Ai Capabilities
Lecture 3 Practical Applications of Generative AI in Data Analysis
Lecture 4 Evolution of Data Analysis with Generative Ai
Section 2: Types of Data Analysis
Lecture 5 Descriptive Data Analysis
Lecture 6 Diagnostic Analysis
Lecture 7 Predictive Analysis
Lecture 8 Prescriptive Analysis
Lecture 9 Understanding Data Analysis Techniques
Lecture 10 Strengths and Limitations of Data Analysis
Lecture 11 Effective Data Analysis Strategies.
Section 3: Types of Data Visualization.
Lecture 12 Data Visualization Essentials
Lecture 14 Understanding Line Graphs
Lecture 15 Understanding Scatter Plots
Lecture 17 Understanding the Power of Dashboards
Lecture 18 Insights and Decision making with Data Visualization
Section 4: Tools and Platforms for Generative AI in Data Analysis
Lecture 19 Introduction to Generative AI
Lecture 20 Introduction to Supervised Learning Platforms
Lecture 21 Understanding Unsupervised Learning Techniques
Lecture 22 NLP Platforms Overview
Lecture 23 Exploring Computer Vision Platforms
Lecture 24 Exploring Automations and Workflow Platforms
Lecture 25 Deployment and Monitoring Platforms Overview
Section 5: Exploratory Data Analysis with Gen AI (ChatGPT)
Lecture 26 EDA with Gen AI
Lecture 27 Understanding Basic Data Analysis with ChatGPT
Lecture 28 Exploring Power of ChatGPT in EDA
Lecture 29 Exploring Amazon Dataset Insights using ChatGPT
Lecture 30 Data Analysis Techniques using ChatGPT
Lecture 31 Understanding Correlation Analysis and Outliner Detection
Lecture 32 Understanding Limitations of ChatGPT
Lecture 33 Mission and NextSteps on Data Analysis using ChatGPT
Section 6: Natural Language Insights from Data Using ChatGPT
Lecture 34 Leveraging ChatGPT for NLP
Lecture 35 Data Analysis on Starbucks Reviews Data
Section 7: Predictive Analysis with ChatGPT: A New Frontier in Insights
Lecture 36 Predictive Analysis Using ChatGPT
Lecture 37 Understanding Predictive Modelling and Customer Insights
Lecture 38 Financial Data Analysis using ChatGPT: Stock Price Prediction
Lecture 39 Healthcare Data Analysis Lung Cancer Prediction using ChatGPT
Section 8: Conclusion
Lecture 40 Conclusion
