
Access the ChatGPT code interpreter, a premium feature activated in settings under beta features with GPT-4, then upload csv files and run analyses that plot Nvidia stock data.
Enroll in this masterclass to learn how the chatgpt code interpreter connects to a python agent to run scripts, perform data analysis, and generate visualizations using pandas and matplotlib.
The resources zip file contains the Datasets, Python Scripts, HTML & CSS used in this course.
Frame a conversation with an AI research assistant by defining context and a technical tone. Then compare model responses to prompts on topics like black holes.
Break big projects into smaller tasks and prompts, starting simple and iterating to refine context, audience, and output formats, using versioned prompts, then develop chapters and subtopics step by step.
Explore zero-shot and few-shot prompting, with single-shot, five-shot, or ten-shot examples, and compare these techniques to fine tuning; learn how demonstrations guide model reasoning and reveal limits.
Edit images with ChatGPT code interpreter by cropping and resizing to 180 by 920, rotating 180 degrees, adjusting brightness and colors to black and white, and converting png to jpeg.
Upload a large zip dataset, inspect its folder structure (data, etfs, stocks), and prepare to extract data by correcting file formats from csv to txt for tickers like aapl.us.txt.
Explore stock price data through an end-to-end EDA workflow: extract from txt files, retain date and close, plot time series. Compute daily returns and visualize the correlation.
Explore how to compute stock return correlations, build a correlation heat map, assess portfolio diversification, and compare equal-weighted portfolio returns for 2017 across tech and non-tech stocks.
Explore how 50-day and 90-day simple moving averages smooth price data to reveal trends and drive a moving average crossover trading strategy.
Dive into advanced analytics and Python projects with this hands-on masterclass, designed for learners looking to integrate ChatGPT into complex data analysis, visualization, and programming tasks. Through this course, you’ll build real-world projects that harness the power of ChatGPT’s code interpreter, combining it with Python to unlock new possibilities in data science and beyond.
What You’ll Learn:
Foundational Skills in ChatGPT and Prompt Engineering: Begin by mastering the basics of ChatGPT and effective prompt design to create powerful, accurate responses for diverse analytics tasks. With quick-start sections for beginners, you'll set a strong foundation to leverage ChatGPT effectively.
Real-World Analytics and Data Science Projects: Tackle hands-on projects, such as image editing, QR code creation, financial analysis of quarterly earnings, and stock price visualization. Each project is designed to show ChatGPT's application in data manipulation, visualization, and analysis.
Advanced Financial Analysis & Technical Trading: Dive into sophisticated financial projects like portfolio correlation analysis and backtesting technical trading strategies. Explore how to analyze large datasets and develop insightful reports, empowering you with skills applicable in finance and investment.
Sentiment Analysis & Text Processing: Analyze McDonald’s reviews with ChatGPT to build sentiment analysis models and visualize text data. You’ll also work on building simple applications like a Hangman game and word count tools to refine your text processing capabilities.
Machine Learning and Regression Modeling: Develop a high-accuracy regression model for loan approval, practicing end-to-end model building from data exploration to implementation. Gain hands-on experience applying machine learning concepts to real-world data.
SQL Database Design & Web Development: Learn to create and query SQL databases, structuring a data schema for an eCommerce store, and dive into web development basics with front-end design for landing pages using HTML and CSS.
Python Programming Essentials and Advanced Concepts: Cover foundational Python skills, including control flow, data management, and task handling. Progress to advanced topics like file handling, object-oriented programming, and module management, ensuring you have robust coding skills.
Data Visualization and GUI App Development: Visualize data with custom charts, create interactive dashboards, and build desktop GUI applications for practical, user-friendly data tools.
By the end of this course, you’ll be equipped with a diverse skill set that combines ChatGPT’s advanced analytics capabilities with Python’s versatility. Perfect for aspiring data scientists, analysts, and AI enthusiasts, this course empowers you to build impactful projects across various domains. Join us and take the next step in mastering ChatGPT and Python for data-driven solutions!