Welcome to Data-X, a course for Data, AI, and Information Technology & Systems
Ikhlaq Sidhu, UC Berkeley (contact)
Derek S. Chan, UC Berkeley (contact)
Data-X is a framework designed at UC Berkeley for learning and applying AI, data science, and emerging technologies. Data-X fills a gap between theory and practice to empower data and AI in current projects and new initiatives. Data-X projects create new ventures, new research, and corporate innovations all over the world.
Course Modules
| Lecture Materials | Homework | Resources | ||||
| 00: Getting Started | ||||||
| 010 | Introduction Basics | Slides Code Video | References Page | |||
| 020 | Project: Getting Started | Slides Video | Syllabus | |||
| 025 | Google Colab (rather than 030A) | Code Video | ||||
| 030A | Installation Instructions | Slides | References Page | |||
| 030B | Using Jupyter Notebooks | Code | References Page | |||
| 030C | Python Basics | Code | References Page | |||
| 01: Fundamentals | ||||||
| 100A | Prediction and Linear Regression Pt. I | Slides Video | ||||
| 100B | Prediction and Linear Regression Pt. II | Slides Video | HW | |||
| 110 | NumPy | Code Video | HW | Introduction to NumPy 101 NumPy Exercises NumPy Cheatsheet |
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| 120 | Pandas | Code Video | HW | Intro to Pandas Video Jupyter Notebook 10 Minutes to Pandas Pandas Cheatsheet Intro to Pandas Slides |
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| 125 | Dataset initial checks (diversity, quality, quantity) | Code | ||||
| 130A | Data Visualization I | Code Video | HW | Slides List of Resources | ||
| 130B | Data Visualization II: Plotly | Code Video | Slides | |||
| 130C | Data Visualization III: Tableau | Tableau Video Tableau Slides |
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| 130D | Data Visualization IV: Interactive Visualization | H2O Wave Data-Driven Documents (D3) D3 Gallery |
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| 141 | Precision and recall for defining success | Code | ||||
| 140 | Logistic Regression | Code Video | HW | Basics Slides |
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| 160A | Predictive Classification with Titanic Pt. I | Code Video | HW | |||
| 160B | Predictive Classification with Titanic Pt. II | Code Video | HW | |||
| 160C | Predictive Classification with Titanic Pt. III | Code Video | HW | |||
| 160D | Predictive Classification with Titanic Pt. IV | Code Video | HW | |||
| 161 | H2O.ai and Ensemble Method Introduction | Code | HW | H2O.ai Tutorials | ||
| 170 | ML Algorithm Overview | Slides Video | ||||
| 180 | Cross-Validation and Regularization | Slides Code | HW | |||
| 190A | Systematic Pt 1: Bayesian optimization | Code | TensorFlow ConvNets on a Budget Loop API Example for optimization in Ax |
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| 190B | Systematic Pt 2: Image models, random search | Code | ||||
| 190C | Systematic Pt 3: Ensemble methods | Code | ||||
| 02: Data Signals | ||||||
| 200 | Correlation | Slides Code Video | HW | |||
| 215 | Time Series | Slides Code Video Video | HW | ARIMA Prophet Library Exponential Smoothing |
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| 250 | Spectral Signals | Slides Code | HW | |||
| 03: Data Handling | ||||||
| 310 | Web Scraping | Slides Code Video | HW | Extra Code 1 Extra Code 2 Extra Video |
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| 320 | Flask | Video Video | HW | |||
| 330 | YOLO Object Detection | Video Video | HW | Coursera ImageAI |
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| 340 | Face and Emotion Recognition | HW | ||||
| 360 | AI Data System: Anvil, Colab, and APIs | Code | Hugging Face Google Cloud Vision API |
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| 04: Deep Learning | ||||||
| 410 | Intro to TensorFlow | Slides Video | HW | TensorFlow Crash Course TensorFlow Tutorial What is TensorFlow? |
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| 420 | Neural Networks | Slides Code Video Video | HW | What is a Neural Network? Neural Networks and Deep Learning TensorFlow Playground Deep Learning Deep Learning book |
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| 430A | Convolution Neural Networks (CNNs) Pt. I | Slides Code Video Video | HW | CNNs CNN Tutorial CNN Examples Image Classification Image Data Augmentation in Tensorflow CNNs for Time Series Forecasting |
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| 430B | Convolution Neural Networks (CNNs) Pt. II | Code Video | HW | Please see the cell above | ||
| 440 | Recurrent Neural Networks (RNNs) | Slides Code | Illustrated Guide to LSTM’s and GRU’s Sequence Models Not RNNs: "Transformers Explained Visually" |
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| 05: Natural Language Processing | ||||||
| 500 | Text Processing | Slides Code Video | HW | NLP Toolkit | ||
| 510 | Feature Engineering & Text Representation | Slides Video Video | HW | |||
| 520 | Learning Models | Slides Video Video | Text Cleaning Using the NLTK Library A Code-First Introduction to NLP SpaCy |
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| 530 | Deep learning NLP with pretrained BERT | Code Colab Code | Fine-tuning a pretrained model | |||
| 06: Data-X Library | ||||||
| 610A | Stock Market Data and Real Time Quotes | Code Video | ||||
| 610B | Stock Market Data and Historical Quotes | Code Video | ||||
| 07: Data Strategy and Process | ||||||
| 700 | Developing Story for Professionals | Slides Video | HW | |||
| 710 | Principles of Innovation Engineering | Slides Video | ||||
Projects are a key component of Data-X. Click to view project guidelines and past projects.