Description

Enterprise Big Data Scientist Official Guide

The Enterprise Big Data Scientist Guide is your comprehensive resource for mastering advanced big data and data science concepts and preparing for the challenging Enterprise Big Data Scientist certification. This handbook is based on a subset of the Enterprise Big Data Framework, serving as the official reference guide for students preparing for the APMG Enterprise Big Data Scientist (EBDS) examination.

Certification Path

The Enterprise Big Data Scientist training program is the specialist level of the Enterprise Big Data Framework course curriculum and certification program. Readers who are interested to be a certified Enterprise Big Data Scientist would first need to complete the Enterprise Big Data Professional and Enterprise Big Data Analyst certification.

Building on the foundations laid by the Enterprise Big Data Professional and Enterprise Big Data Analyst certifications, the Enterprise Big Data Scientist certification takes skills to the next level. It provides the expertise needed to tackle complex business challenges, making certified individuals valuable assets in the evolving data-driven industry.

What You'll Discover in the Guide

Introduction to Data Science and Role of Data Scientists:

• Insightful content introducing the fundamental principles of data science.
• Exploration of the pivotal role played by data scientists in the broader business landscape.
• Understanding the significance of data science in driving informed decision-making.

Defining Data Science and Differentiation from Related Fields:

• Clear definitions and distinctions between data science and closely related fields.
• Comprehensive insights into how data science differs from business intelligence, data analysis, and statistics.
• Building a foundational understanding of the unique aspects and contributions of data science.

History and Evolution of Data Science:

• A historical perspective, tracing the roots and evolution of data science.
• Exploration of key milestones and developments that have shaped the field over time.
• Understanding the transformative journey of data science and its current standing in various industries.

Advanced Big Data and Data Science Concepts:

• In-depth coverage of advanced concepts related to big data and data science.
• Mastery of statistical methods for rigorous data analysis.
• Comprehensive exploration of data modeling techniques for effective representation and interpretation.
• Integration of artificial intelligence tools, providing a broad skill set for handling complex datasets.

Reviewing Practical Case Studies:

• Application-oriented learning through a multitude of case studies.
• Real-world examples illustrating the practical application of concepts covered in the course.
• Bridging theoretical knowledge with hands-on experience to enhance problem-solving skills.
• Gaining insights into how data science principles are employed in diverse scenarios and industries.

Overall, the guide offers a well-rounded curriculum, guiding individuals from foundational concepts to advanced skills and practical applications. It serves as a comprehensive resource for those aspiring to become Enterprise Big Data Scientists, providing the knowledge and skills needed to navigate the complexities of data science at an enterprise level.