Module #1 Introduction to Interactive Data Science Overview of interactive data science and its importance in business decision-making
Module #2 Basics of Data Visualization Fundamentals of data visualization, including types of plots and charts, and best practices
Module #3 Introduction to Dashboards Introduction to dashboards, including their importance, types, and components
Module #4 Building Interactive Dashboards with Tableau Hands-on experience building interactive dashboards using Tableau
Module #5 Data Storytelling with Interactive Visualizations Techniques for telling compelling stories with data using interactive visualizations
Module #6 Introduction to Python for Data Science Overview of Python programming language and its application in data science
Module #7 Working with Pandas and NumPy Hands-on experience working with Pandas and NumPy libraries for data manipulation and analysis
Module #8 Introduction to Data Acquisiton Overview of data acquisition methods, including APIs, web scraping, and data storage
Module #9 Data Preprocessing and Cleaning Hands-on experience with data preprocessing and cleaning techniques using Python
Module #10 Introduction to Machine Learning Overview of machine learning concepts, including supervised and unsupervised learning
Module #11 Building Interactive Machine Learning Models with Scikit-learn Hands-on experience building interactive machine learning models using Scikit-learn
Module #12 Introduction to Interactive Visualization Libraries Overview of interactive visualization libraries, including Bokeh, Plotly, and Matplotlib
Module #13 Building Interactive Visualizations with Bokeh Hands-on experience building interactive visualizations using Bokeh
Module #14 Building Interactive Visualizations with Plotly Hands-on experience building interactive visualizations using Plotly
Module #15 Introduction to D3.js Overview of D3.js and its application in interactive data visualization
Module #16 Building Interactive Visualizations with D3.js Hands-on experience building interactive visualizations using D3.js
Module #17 Deploying Interactive Visualizations to the Web Techniques for deploying interactive visualizations to the web using Flask or Django
Module #18 Case Study:Interactive Visualization for Business Insights Real-world case study on using interactive visualization for business insights
Module #19 Advanced Topics in Interactive Data Science Exploration of advanced topics in interactive data science, including GPU acceleration and Big Data
Module #20 Best Practices for Interactive Data Science Best practices for interactive data science, including collaboration and communication
Module #21 Interactive Data Science in the Enterprise Overview of interactive data science in the enterprise, including governance and security
Module #22 Measuring the Impact of Interactive Data Science Techniques for measuring the impact of interactive data science on business outcomes
Module #23 Future of Interactive Data Science Overview of the future of interactive data science, including emerging trends and technologies
Module #24 Course Wrap-Up & Conclusion Planning next steps in Interactive Data Science Techniques for Business career
