Rajinder Kr. Chitoria - Business Analytics with SAS Studio: Deliver Business Intelligence by Combining SQL Processing, Insightful Visualizations, and Various Data Mining Techniques

My beloved father

Shri Mahadev Singh

Rajinder Kr. Chitoriais a data scientist with 20+ years of experience in the field of data science. He has a wide range of interests, covering topics such as business analytics and reporting, machine learning, and deep learning. He has worked in numerous data science fields, such as predictive models for the news media industry, social media analysis models, business reporting solutions, customer sentiment analysis, etc. He earned his Master's degree in Computer Science from Maharishi Dayanand University and graduated from Delhi University. He has earned certifications from 10+ OEMs on BI reporting, database management, data science, machine learning, deep learning, statistics, mathematics, and related courses.

With over fifteen years of experience in the Data Analytics and Data Science industry, Nitin Sethiis a Data Scientist, an enthusiast of Machine learning and Data analytics tools and techniques. He currently works at Rio Tinto as Sr. Advisor in HR Delivery Analytics. His skills are Data Analytics/Data Science tools like SQL, SAS, Tableau, R Studio, Python, Power BI, Azure, Cloud Computing, etc. Nitin is also the top contributor on machine learning algorithms in PSUs and many multinationals across the globe, and a faculty/mentor for the University of Austin for Data Science courses. He now focuses on channeling his knowledge into open-source projects and sharing it with the community by mentoring, running workshops, writing to help make the world a better and more developed place.

There are a few people I want to thank for the continued and ongoing support they have given me during the writing of this book. First and foremost, I would like to thank my father for continuously encouraging me to write the book I could have never completed this book without his support.

I acknowledge the excellent e-learning content made available by SAS Institute to understand and do hands-on on SAS Studio product; along with this, the training notes of Antrix Academy of Data Science have helped me to draft the examples in a simplest and effective format.

My gratitude also goes to the team at BPB Publications for being supportive enough to help in drafting, proofreading, and publishing the book with numerous examples and excellent case studies at the end of the book.