TIM-8510 v1

Jackson, A., & Stanke, L. (2021). Tableau strategies: Solving real, practical problems with data analytics (1st ed.). O’Reilly.
Read: Chapter 8. Advanced Mathematical Concepts, Chapter 9. Constructing Dynamic Analyses, Chapter 10. Advanced Data Modeling, and Chapter 11. Advanced Interactivity.

Nokeri, T. C. (2021). Data science revealed: With feature engineering, data visualization, pipeline development, and hyperparameter tuning. Apress L. P. https://doi.org/10.1007/978-1-4842-6870-4
Read Chapter 5. Logistic Regression Analysis, Chapter 6. Dimension Reduction and Multivariate Analysis Using Linear Discriminant Analysis, and Chapter 8. Classification Using Decision Trees

Bakhshi, S. (2021). Expert data modeling with Power BI. Packt Publishing.
Read Chapter 8: Data Modeling Components, Chapter 9: Star Schema And Data Modeling Common Best Practices, and Chapter 10: Advanced Data Modeling Techniques

Wang, C., Thompson, J., & Lee, B. (2023). Data formulator: AI-powered concept-driven visualization authoring. IEEE Transactions on Visualization and Computer Graphics, PP, 1–11. https://doi.org/10.1109/TVCG.2023.3326585

Liu, A., Mahapatra, R. P., & Mayuri, A. V. R. (2023). Hybrid design for sports data visualization using AI and big data analytics. Complex & Intelligent Systems, 9(3), 2969–2980. https://doi.org/10.1007/s40747-021-00557-w

Li, X.-H., Cao, C. C., Shi, Y., Bai, W., Gao, H., Qiu, L., Wang, C., Gao, Y., Zhang, S., Xue, X., & Chen, L. (2022). A survey of data-driven and knowledge-aware eXplainable AI. IEEE Transactions on Knowledge and Data Engineering, 34(1), 29–49. https://doi.org/10.1109/TKDE.2020.2983930

Luo, Y., Qin, X., Chai, C., Tang, N., Li, G., & Li, W. (2022). Steerable self-driving data visualization. IEEE Transactions on Knowledge and Data Engineering, 34(1), 475–490. https://doi.org/10.1109/TKDE.2020.2981464

Wu, A. Wang, Y., Shu, X., Moritz, D., Cui, W., Zhang, H., Zhang, D., & Qu, H. (2022). AI4VIS: Survey on artificial intelligence approaches for data visualization. IEEE Transactions on Visualization and Computer Graphics, 28(12), 1–1. https://doi.org/10.1109/TVCG.2021.3099002

Wang, X., Wu, Z., Huang, W., Wei, Y., Huang, Z., Xu, M., & Chen, W. (2023). VIS+AI: Integrating visualization with artificial intelligence for efficient data analysis. Frontiers of Computer Science, 17(6), 176709–. https://doi.org/10.1007/s11704-023-2691-y

Jain, A. (2023, March 10). The future of data visualization: Predictions and trends for 2023 and beyond. WebDataRocks.

Wagh, D. (2023, July 27). The future of data visualization: Exploring the role of AI and intelligent algorithms. LinkedIn. 

Keen, E. (2023, August 1). Gartner identifies top trends shaping the future of data science and machine learning. Gartner.

The LinkedIn Community. (n.d.). What are the most innovative AR data visualization tools on the market? 

Flow Immersive (Producer). (2023). AI + AR data visualization blew us away [Video file]. YouTube.