With the increasing boom of Big Data, Data Science is becoming the quickest rising field in the business with a great salary and position in the organization. They are looking for knowledgeable and skilled data scientists and people who can lead data science teams to get some value from big data. It’s a great time to start your career in Data Science and also to advance your career as a leader.
But it’s not so easy to start and continue with data science in organizations because of the challenges it proposes to the leadership. Reports say, 87% of data science project fails to make to production in enterprises. Only 50% is the data leadership success rate.
All this is because of
• Lack of Technical skillset
• Lack of Business skillset
• Lack of Leadership skillset
Data Science is an entirely new field that requires the best knowledge of data, big data management, analytics, statistics, machine learning, business domain, R programming/ Python programming, SQL, software development, and product management.
Yes, It’s hard to master all the above skill set at once, but it’s just the beginning. Leadership in this field demands more than just technical skills.
This book is going to fill this gap in skillset. It has thorough coverage of the syllabus on data science for business, machine learning, artificial intelligence, big data, and statistics related to it. It's hard to find this sort of syllabus coverage and interrelation of business, big data and related technologies, machine learning, and algorithms, implementation with R & Python, and how to use them intelligently to improve business by avoiding the most common mistakes.
It not only covers the theory part of the data science and machine learning but also presents the applied way of learning with coding in R and Python with reproducible examples.
"Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data." will
• Presents the real business scenarios
• Take you on the journey of data science, AI & big data even if you are an ultimate beginner.
• Introduce you to the essential skills of success in this field
• Develop a leadership mindset by cutting edge methodologies & strategies
• Make you aware of technical trends around it
• Develop technical skills with R, Python, Machine learning with big data as well as business skills
• Reduce failure possibility and increase the chance of success by covering the 360 degrees view of the field.
Review:
"I would recommend this book to all prospective data scientists - as well as those software professionals who choose to transfer or migrate to the domain of data science. It is a useful addition to the body of work already available to guide project managers of data science projects." Lt Col (Dr) Rajesh Kapur (Retd), AI Investor, Asst. Prof. TIMSCDR, Hyderabad, India
"It's a masterpiece of work for the aspiring leaders of data science and AI. It's also a guide for executives and investors to get maximum value from their investment in AI. Beginners in data science can also get the most out of this book. This book can be used as a manual of data science in the organization", Jay Ojha, Business intelligence and analytics manager, HCL Infosystem Ltd
Step up and begin your journey to your dreams of data science and AI.
Shitalkumar R. Sukhdeve is an internationally published author of the Amazon bestselling data science book "Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data: Illustrations with R & Python" And Co-Author of "Web application development with R using Shiny" 3rd Edition. He is a well-recognized Data Scientist.
The new evolving fields like data science &machine learning are becoming favorites of businesses and organizations but because of its strategic implementation knowledge gap between business and technology, makes it difficult to implement. The author is an expert in making data-driven strategic decision-making cost-effective solutions and has a proven record of optimizing business KPIs with data science and machine learning. His solutions like churn prediction and recommendation engine are processing 16million+ customer data every day and providing support to the business to achieve their goals.
With the help of his books, he is addressing the cause of the failure of organizations and leaders in this area and guiding how to succeed. He cares about the way data science and machine learning should be incorporated into the business and transform itself into a data-driven organization. He also points out the need for change in leadership styles and setting up organizational goals by following the ethics in data usage. His vision reflects in his books and speeches.
The author loves to deliver lectures and talk to people about Artificial Intelligence, Machine Learning, and Data Science. He has guided 1000+ students and corporate candidates and delivered 200+ lectures on Data Science, Machine learning. The author admires and inspires the use of open-source R and Python-like programming languages and Hadoop, Spark-like big data solutions.
