Interactive Data Science Techniques for Business
( 24 Modules )

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

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Interactive Data Science Techniques for Business ( 24 Modules )

Interactive Data Science Techniques for Business
( 24 Modules )