Case Studies in Interactive Data Science Applications
( 30 Modules )

Module #1
Introduction to Interactive Data Science
Overview of interactive data science, its importance, and applications

Module #2
Tools and Technologies for Interactive Data Science
Survey of popular tools and technologies used in interactive data science, such as Python, R, Tableau, Power BI, and more

Module #3
Case Study 1:Interactive Visualization of COVID-19 Data
In-depth analysis of an interactive visualization project using COVID-19 data, including data sourcing, cleaning, and visualization

Module #4
Data Visualization Best Practices
Guiding principles and best practices for effective data visualization, including color theory, layout, and storytelling

Module #5
Interactive Dashboards with Tableau
Hands-on tutorial on creating interactive dashboards using Tableau, including data connection, visualization, and publishing

Module #6
Case Study 2:Customer Segmentation with Interactive Clustering
Application of interactive clustering techniques to customer segmentation, including data preprocessing, clustering, and visualization

Module #7
Unsupervised Learning for Interactive Data Analysis
In-depth exploration of unsupervised learning techniques, including clustering, dimensionality reduction, and anomaly detection

Module #8
Interactive Geographic Information Systems (GIS)
Introduction to GIS and its applications in interactive data science, including mapping, spatial analysis, and visualization

Module #9
Case Study 3:Predicting Energy Consumption with Interactive Machine Learning
Development of an interactive machine learning model to predict energy consumption, including data preprocessing, feature engineering, and model evaluation

Module #10
Interactive Model Interpretation and Explainability
Techniques for interpreting and explaining machine learning models, including feature importance, partial dependence plots, and SHAP values

Module #11
Building Interactive Web Applications with Dash
Hands-on tutorial on building interactive web applications using Dash, including layout, callbacks, and deployment

Module #12
Case Study 4:Sentiment Analysis with Interactive Natural Language Processing
Application of interactive natural language processing techniques to sentiment analysis, including text preprocessing, tokenization, and visualization

Module #13
Interactive Data Storytelling with Power BI
Hands-on tutorial on creating interactive data stories using Power BI, including data modeling, visualization, and dashboards

Module #14
Big Data and Interactive Data Science
Challenges and opportunities of working with big data in interactive data science, including distributed computing, Spark, and Hadoop

Module #15
Case Study 5:Real-time Analytics with Interactive Streaming Data
Development of an interactive analytics system for real-time streaming data, including data ingestion, processing, and visualization

Module #16
Interactive Ethics in Data Science
Discussion of ethical considerations in interactive data science, including bias, fairness, and transparency

Module #17
Collaborative Interactive Data Science with Jupyter Notebooks
Hands-on tutorial on using Jupyter Notebooks for collaborative interactive data science, including sharing, commenting, and version control

Module #18
Deploying Interactive Data Science Applications
Strategies for deploying interactive data science applications, including cloud deployment, containerization, and DevOps

Module #19
Case Study 6:Healthcare Analytics with Interactive Time Series Analysis
Application of interactive time series analysis to healthcare analytics, including data preprocessing, feature engineering, and forecasting

Module #20
Interactive Machine Learning for Computer Vision
Introduction to interactive machine learning techniques for computer vision, including image classification, object detection, and segmentation

Module #21
Case Study 7:Customer Churn Prediction with Interactive Survival Analysis
Development of an interactive survival analysis model to predict customer churn, including data preprocessing, feature engineering, and model evaluation

Module #22
Interactive Data Science for Social Good
Exploration of interactive data science applications in social good domains, including education, environmental sustainability, and social justice

Module #23
Advanced Interactive Data Visualization with D3.js
Hands-on tutorial on creating advanced interactive data visualizations using D3.js, including SVG, DOM manipulation, and animation

Module #24
Case Study 8:Supply Chain Optimization with Interactive Optimization Techniques
Application of interactive optimization techniques to supply chain optimization, including linear programming, integer programming, and genetic algorithms

Module #25
Interactive Explainable AI for Business Applications
Discussion of interactive explainable AI techniques for business applications, including feature attribution, model interpretability, and transparency

Module #26
Real-World Applications of Interactive Data Science
Survey of real-world applications of interactive data science in various industries, including finance, retail, and healthcare

Module #27
Best Practices for Interactive Data Science Projects
Guiding principles and best practices for planning, executing, and delivering interactive data science projects

Module #28
Future of Interactive Data Science
Discussion of emerging trends and future directions in interactive data science, including AI, IoT, and augmented reality

Module #29
Case Study 9:Financial Portfolio Optimization with Interactive Reinforcement Learning
Application of interactive reinforcement learning to financial portfolio optimization, including environment design, agent training, and visualization

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Case Studies in Interactive Data Science Applications career

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Case Studies in Interactive Data Science Applications ( 30 Modules )

Case Studies in Interactive Data Science Applications
( 30 Modules )