Data Analysis With Generative Ai - A Complete Bootcamp
Published 5/2025
Created by Data Analysis Academy,Xuebin Wei
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 9h 53m ) | Size: 4.6 GB
Harness AI to Analyze, Visualize, and Automate Data-Fast
What you'll learn
Analyze and visualize real-time Twitter data using Tableau Pulse, MongoDB, and serverless dashboards
Use OpenAI's APIs (GPT, V1, o1 Reasoning, and Canvas) for tweet classification, image transformation, and collaborative data analysis
Integrate web search and file inputs into AI-driven tweet analysis for deeper insights
Compare advanced AI models like OpenAI o1 vs GPT to understand reasoning capabilities with data and images
Build AI-powered apps without coding using AWS Party Rock and SageMaker Canvas
Run SQL-like queries in natural language with ChatGPT and MongoDB's AI charting tools
Explore vector databases and RAG (Retrieval-Augmented Generation) systems to enhance your data pipelines
Automate code generation and completion with AWS CodeWhisperer for Python workflows
Train reinforcement learning models for real-world tasks using AWS DeepRacer
Extract insights and trends from 2024 election tweets using advanced AI tools
Apply prompt engineering techniques for more accurate and actionable AI outputs
Connect PostgreSQL and AWS tools to collect, store, and analyze public data like census information
Turn unstructured tweet data into structured visual insights with low-code or no-code tools
Requirements
Basic computer literacy - You should be comfortable using a web browser, navigating online platforms, and managing files.
Familiarity with data concepts - A general understanding of terms like "dataset," "query," or "dashboard" is helpful but not required.
Curiosity about AI and data analysis - No prior experience with OpenAI, AWS, or machine learning is needed-this course is designed to introduce and guide you through these tools step by step.
Description
Transform Your Career with the Power of AI-No Coding Required - Practical 20 Labs - 20 Projects!Are you ready to harness the power of Artificial Intelligence for analysis of live data, uncover hidden trends, and turn social media into powerful business intelligence?This course is your ultimate hands-on guide to AI-powered analytics-designed to teach you how to leverage OpenAI, AWS, Tableau, MongoDB, and more to extract real-time insights from Twitter and beyond. Even if you're not a coder, this course will empower you with no-code and low-code tools to automate workflows, visualize data, and build intelligent applications-all with guided, step-by-step projects using real-world social media data.Whether you're a business analyst, marketer, data enthusiast, or aspiring AI developer, this course will give you job-ready skills in the hottest tech domains-AI, data analysis, and cloud computing.__________In today's data-driven world, the ability to extract real-time insights from massive, unstructured data sources like Twitter is a game-changer for business intelligence, social listening, and decision-making. This course is your complete, hands-on guide to building powerful AI workflows-from data collection and analysis to visualization and automation-without requiring deep coding experience.Whether you're a data analyst, business professional, marketer, developer, or aspiring AI enthusiast, this course teaches you how to unlock the full potential of modern AI tools from OpenAI, AWS, Tableau, and MongoDB. You'll learn how to work with live Twitter data, use natural language to query databases, generate visual insights instantly, and build intelligent applications-often without writing a single line of code.You'll start by learning how to stream, collect, and analyze tweets in real time using tools like Tableau Pulse and MongoDB's natural language charting. From there, you'll explore how to integrate OpenAI's powerful APIs-including the latest GPT and o1 Reasoning models-to classify tweets, extract sentiment, generate content, and even analyze images.Next, you'll dive into building generative AI applications using tools like AWS Party Rock and SageMaker Canvas, enabling you to create complete machine learning workflows and dashboards without any coding. You'll also explore advanced concepts like vector databases, Retrieval-Augmented Generation (RAG), and reinforcement learning using AWS DeepRacer to train AI agents.Through guided tutorials, you'll
erform deep tweet analysis with AI-powered web search, file inputs, and OpenAI APIsBuild dashboards that visualize trends and sentiments across Twitter in real timeUse image-based AI models to classify, generate, and transform social media contentCreate full-scale AI applications and ML pipelines using no-code/low-code toolsLeverage ChatGPT to write SQL queries, automate analysis, and extract insightsExplore the future of AI-enhanced job search, prompt engineering, and Python developmentBy the end of the course, you'll have a solid toolkit of AI and data technologies at your fingertips-allowing you to automate complex tasks, generate instant visual insights, and build intelligent, scalable applications from real-world social media data.This isn't just theory-this is AI in action, with practical projects, step-by-step walkthroughs, and real-world Twitter use cases to help you learn by doing.Who this course is for
Data Analysts and BI Professionals who want to add AI-powered tools to their workflow and visualize real-time social media trends
Marketers and Social Media Analysts looking to uncover insights from Twitter data without writing code
Developers and Tech Enthusiasts eager to experiment with OpenAI APIs, vector databases, and no-code AI platforms
Business Professionals and Decision Makers interested in automating data analysis and building intelligent dashboards
Students and Career Switchers seeking hands-on experience with in-demand AI and cloud technologies like AWS, MongoDB, and OpenAI
Anyone curious about AI-powered data analysis who wants to learn by doing-with practical, real-world projects using live data
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