Welcome to Data Demystified | Guide to All Things Data & Analytics скачать в хорошем качестве

Welcome to Data Demystified | Guide to All Things Data & Analytics

"Data Demystified" is a comprehensive course designed to help learners understand and demystify the world of data and analytics. This course is perfect for anyone who is interested in exploring the field of data science and analytics, or who is looking to improve their skills and knowledge in this rapidly growing and in-demand area. Throughout the course, learners will be introduced to key concepts and terms in the field, as well as the practice and profession of data science and analytics. They will also learn about the data industry and employment opportunities in the field. The course is structured around the following modules: "What's the buzz about Data!" - In this module, learners will be introduced to the concept of data and why it is such an important and buzzworthy topic in today's world. "Analytics & Data Science Jargons" - In this module, learners will learn about key terms and concepts in the field of analytics and data science, including machine learning, artificial intelligence, and big data. "Analytics & Data Science as a Practice" - In this module, learners will learn about the practice of data science and analytics, which comprises the Data to Decisions journey, the various data roles available and how each data role plays their part within the practice area of data. "Analytics & Data Science as a Profession" - In this module, learners will learn about the profession of data science and analytics, including the skills and knowledge needed to succeed in this field. "Data Industry & Employment" - In this module, learners will learn about the data industry and the various employment opportunities available in the field. "Data Science Case Studies" - In this module, learners will have the opportunity to learn from real-world examples of data science and analytics in action through a series of case studies. By the end of this course, learners will have a solid understanding of data science and analytics and will be well-equipped to pursue further study or career opportunities in this exciting field.