Sukhdeve Sh.R. Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data. Illustrations with R & Python

Shitalkumar R. Sukhdeve, 2020. — 261 p.Shitalkumar’s book bridges the gap between streamlined process-based project development and the intuitive skill required for gaining insights from massive amounts of data. The book highlights why many data science projects fail. While discussing the data science life cycle, Shitalkumar discussed how data science projects could be structured replicated. He does this under the umbrella of established software project management paradigms like Agile Development, Scrum, CRISP-DM, and Team Data Science Projects (TDSP).
The book also serves as a reference for data analytics professionals. There is a brief introduction to R and Python with a solved methodology for basic projects. The book also features effectively introductory modules on statistics, time series, and the use of visualization as a powerful descriptive tool. An understanding of the various basic machine learning algorithm for supervised and unsupervised approaches is also covered.
The financial efficacy, especially the aspects of the return on investment (ROI), are especially well brought out. The organizational structures best suited to implement data science projects are detailed, as is the scope of ethics and privacy in handling personal data.