Data Science | The Power of ChatGPT in Python & Data Science

Übersicht

Data Science & ChatGPT | Complete Hands-on Python Training using Chat GPT with Data Science, AI and Machine Learning

Lehrplan

• Introduction to Data Science and ChatGPT
Overview of Data Science
Introduction to ChatGPT and its capabilities
Applications of ChatGPT in Data Science
• Python Fundamentals for Data Science
Python programming basics
Introduction to Jupyter Notebooks
Essential Python libraries for Data Science (NumPy, Pandas)
• Data Handling and Preprocessing
Data collection and exploration
Data cleaning and transformation techniques
Feature engineering and selection
• Introduction to ChatGPT
Understanding natural language processing (NLP)
ChatGPT architecture and API usage
Setting up and integrating OpenAI's API with Python
• Working with ChatGPT for Data Science Tasks
Data analysis with ChatGPT
Automating data preprocessing with ChatGPT
Enhancing data insights and visualizations with ChatGPT
• Machine Learning with Python
Fundamentals of machine learning
Supervised vs. unsupervised learning
Implementing basic ML models using Scikit-learn
• Advanced ChatGPT for AI and Machine Learning
Using ChatGPT for text generation and summarization
Leveraging ChatGPT to augment ML models
Case studies and real-world applications
• Project: Building a Data Science Pipeline with ChatGPT
Defining a project scope and objectives
Data preparation and model selection
Integrating ChatGPT to enhance the pipeline
Presenting results and insights
• Ethical Considerations and Future of AI in Data Science
AI ethics and responsible use
Impact of AI advancements on data science
Future trends in AI, ChatGPT, and data science
• Course Wrap-up and Next Steps
Recap of key concepts and skills
Resources for further learning
Q&A and feedback session

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Unterrichtet von

Oak Academy, OAK Academy Team and Ali̇ CAVDAR

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Fachgebiete

Data Science