{"id":5220,"date":"2024-09-11T16:11:18","date_gmt":"2024-09-11T10:41:18","guid":{"rendered":"https:\/\/learnscripting.org\/?p=5220"},"modified":"2024-09-11T16:11:20","modified_gmt":"2024-09-11T10:41:20","slug":"python-for-data-science-level-3-syllabus","status":"publish","type":"post","link":"https:\/\/learnscripting.org\/python-for-data-science-level-3-syllabus\/","title":{"rendered":"Python for Data Science &#8211; Level 3 Syllabus"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\"><strong>Module 1: Advanced Data Manipulation with Pandas and NumPy<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>1.1 Advanced DataFrame Operations<\/strong><\/li>\n\n\n\n<li>MultiIndex and hierarchical indexing<\/li>\n\n\n\n<li>Advanced filtering, grouping, and aggregations<\/li>\n\n\n\n<li>Pivot tables and cross-tabulations<\/li>\n\n\n\n<li>Efficient use of <code>.apply()<\/code>, <code>.map()<\/code>, <code>.merge()<\/code>, and <code>.concat()<\/code><\/li>\n\n\n\n<li><strong>1.2 Advanced Array Operations with NumPy<\/strong><\/li>\n\n\n\n<li>Broadcasting and vectorization<\/li>\n\n\n\n<li>Memory layout of arrays and advanced slicing<\/li>\n\n\n\n<li>Linear algebra with NumPy<\/li>\n\n\n\n<li>Working with structured arrays<\/li>\n\n\n\n<li><strong>1.3 Performance Optimization<\/strong><\/li>\n\n\n\n<li>Profiling and optimizing code using <code>pandas<\/code> and <code>numpy<\/code><\/li>\n\n\n\n<li>Memory management and reduction techniques<\/li>\n\n\n\n<li>Leveraging Cython and Numba for performance boosts<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Module 2: Data Visualization and Exploration<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>2.1 Advanced Plotting with Matplotlib and Seaborn<\/strong><\/li>\n\n\n\n<li>Creating complex multi-plot figures<\/li>\n\n\n\n<li>Customizing plots with advanced features (color maps, markers, annotations)<\/li>\n\n\n\n<li>3D plotting with Matplotlib<\/li>\n\n\n\n<li><strong>2.2 Interactive Visualizations with Plotly and Bokeh<\/strong><\/li>\n\n\n\n<li>Creating interactive dashboards and plots<\/li>\n\n\n\n<li>Working with geospatial data visualization<\/li>\n\n\n\n<li>Developing real-time data dashboards<\/li>\n\n\n\n<li><strong>2.3 Data Exploration and Feature Engineering<\/strong><\/li>\n\n\n\n<li>Techniques for exploratory data analysis (EDA)<\/li>\n\n\n\n<li>Feature selection and dimensionality reduction techniques (PCA, LDA, t-SNE)<\/li>\n\n\n\n<li>Handling imbalanced data, outliers, and missing values<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Module 3: Machine Learning with Scikit-Learn<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>3.1 Advanced Supervised Learning Techniques<\/strong><\/li>\n\n\n\n<li>Ensemble methods (Bagging, Boosting, Random Forests, Gradient Boosting Machines, XGBoost, LightGBM)<\/li>\n\n\n\n<li>Hyperparameter tuning with Grid Search, Random Search, and Bayesian Optimization<\/li>\n\n\n\n<li>Model evaluation and cross-validation techniques<\/li>\n\n\n\n<li><strong>3.2 Unsupervised Learning and Clustering<\/strong><\/li>\n\n\n\n<li>Clustering algorithms (K-means, DBSCAN, Agglomerative Clustering)<\/li>\n\n\n\n<li>Anomaly detection and outlier analysis<\/li>\n\n\n\n<li>Advanced dimensionality reduction techniques (Isomap, UMAP)<\/li>\n\n\n\n<li><strong>3.3 Model Interpretability and Explainability<\/strong><\/li>\n\n\n\n<li>Feature importance and SHAP values<\/li>\n\n\n\n<li>Model-agnostic methods (LIME, partial dependence plots)<\/li>\n\n\n\n<li>Fairness and bias detection in machine learning models<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Module 4: Deep Learning with TensorFlow and PyTorch<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>4.1 Neural Network Fundamentals<\/strong><\/li>\n\n\n\n<li>Deep learning basics (Perceptrons, backpropagation, activation functions)<\/li>\n\n\n\n<li>Building and training neural networks with TensorFlow and PyTorch<\/li>\n\n\n\n<li><strong>4.2 Convolutional Neural Networks (CNNs)<\/strong><\/li>\n\n\n\n<li>Fundamentals of CNNs for image classification and detection<\/li>\n\n\n\n<li>Transfer learning with pre-trained models (VGG, ResNet, EfficientNet)<\/li>\n\n\n\n<li><strong>4.3 Recurrent Neural Networks (RNNs) and Transformers<\/strong><\/li>\n\n\n\n<li>RNNs and LSTM networks for sequential data (time series, NLP)<\/li>\n\n\n\n<li>Introduction to Transformer architectures (BERT, GPT)<\/li>\n\n\n\n<li>Attention mechanisms in neural networks<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Module 5: Working with Big Data and Cloud Computing<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>5.1 Big Data Processing with Python<\/strong><\/li>\n\n\n\n<li>Introduction to Apache Spark with PySpark<\/li>\n\n\n\n<li>Distributed computing concepts (MapReduce, Resilient Distributed Datasets)<\/li>\n\n\n\n<li>Working with Dask for parallel processing in Python<\/li>\n\n\n\n<li><strong>5.2 Cloud-Based Data Science<\/strong><\/li>\n\n\n\n<li>Using cloud platforms (AWS, Azure, Google Cloud) for data science<\/li>\n\n\n\n<li>Working with managed ML services (AWS SageMaker, Azure ML, Google AI Platform)<\/li>\n\n\n\n<li>Scaling machine learning models in the cloud<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Module 6: Natural Language Processing (NLP)<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>6.1 Advanced NLP Techniques<\/strong><\/li>\n\n\n\n<li>Text preprocessing and feature extraction (TF-IDF, word embeddings)<\/li>\n\n\n\n<li>Deep learning for NLP (RNNs, LSTMs, Transformers)<\/li>\n\n\n\n<li>NLP applications: sentiment analysis, text generation, named entity recognition<\/li>\n\n\n\n<li><strong>6.2 Transfer Learning for NLP<\/strong><\/li>\n\n\n\n<li>Using pre-trained language models (BERT, GPT, T5)<\/li>\n\n\n\n<li>Fine-tuning for specific NLP tasks<\/li>\n\n\n\n<li>Implementing attention mechanisms<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Module 7: Time Series Analysis<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>7.1 Time Series Forecasting Techniques<\/strong><\/li>\n\n\n\n<li>Traditional methods (ARIMA, SARIMA, Exponential Smoothing)<\/li>\n\n\n\n<li>Advanced models (LSTM, GRU, Prophet)<\/li>\n\n\n\n<li>Multivariate time series analysis and anomaly detection<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Module 8: Advanced Topics and Specializations<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>8.1 Reinforcement Learning<\/strong><\/li>\n\n\n\n<li>Basics of reinforcement learning (Q-learning, Policy Gradients)<\/li>\n\n\n\n<li>Application of RL in game development, robotics, and finance<\/li>\n\n\n\n<li><strong>8.2 AutoML and Model Deployment<\/strong><\/li>\n\n\n\n<li>Automating the machine learning pipeline (AutoKeras, TPOT, H2O.ai)<\/li>\n\n\n\n<li>Deploying machine learning models using Flask, FastAPI, Docker, and Kubernetes<\/li>\n\n\n\n<li><strong>8.3 Ethical Considerations in Data Science<\/strong><\/li>\n\n\n\n<li>Understanding data privacy, ethical AI, and responsible data handling<\/li>\n\n\n\n<li>Implementing privacy-preserving techniques (differential privacy, federated learning)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Assessment and Projects:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Real-world data science project involving end-to-end pipeline creation (data acquisition, EDA, model building, deployment).<\/li>\n\n\n\n<li>Practical assignments on each module topic.<\/li>\n\n\n\n<li>Capstone project to consolidate all learning, potentially focusing on a novel domain or challenging problem.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This Level 3 syllabus is designed to cover both theoretical and practical aspects, allowing you to work on real-world data science problems and deepen your understanding of advanced concepts.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Would you like more details on any specific module?<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Module 1: Advanced Data Manipulation with Pandas and NumPy Module 2: Data Visualization and Exploration Module 3: Machine Learning with Scikit-Learn Module 4: Deep Learning with TensorFlow and PyTorch Module 5: Working with Big Data and Cloud Computing Module 6: Natural Language Processing (NLP) Module 7: Time Series Analysis Module 8: Advanced Topics and Specializations &hellip;<\/p>\n","protected":false},"author":1,"featured_media":5221,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":{"facebook_2613112545524186_272996453239123":"","twitter_aTo5NzY3MTIyNTIwMzEwNTM4MjQ7_976712252031053800":""},"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[1],"tags":[],"class_list":["post-5220","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python for Data Science - Level 3 Syllabus - Learn Scripting<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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