Book Image

Business Intelligence Career Master Plan

By : Eduardo Chavez, Danny Moncada
Book Image

Business Intelligence Career Master Plan

By: Eduardo Chavez, Danny Moncada

Overview of this book

Navigating the challenging path of a business intelligence career requires you to consider your expertise, interests, and skills. Business Intelligence Career Master Plan explores key skills like stacks, coursework, certifications, and interview advice, enabling you to make informed decisions about your BI journey. You’ll start by assessing the different roles in BI and matching your skills and career with the tech stack. You’ll then learn to build taxonomy and a data story using visualization types. Additionally, you’ll explore the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management, giving you a broad view of the end-to-end BI process. With the help of the author’s expert advice, you’ll be able to identify what subjects and areas of study are crucial and would add significant value to your skill set. By the end of this book, you’ll be well-equipped to make an informed decision on which of the myriad paths to choose in your business intelligence journey based on your skill set and interests.
Table of Contents (12 chapters)

To get the most out of this book

This book caters to developers and business analysts who possess a foundational understanding of data analysis tools and are enthusiastic about delving into the intricacies of data. It offers an opportunity to enhance proficiency in these tools, thereby enabling career growth within any BI organization. A fundamental grasp of tools such as Microsoft Excel, working knowledge of SQL, Python, and Tableau, and experience with major cloud providers such as AWS or GCP are basic requirements. However, the most crucial prerequisite is the capacity to extract valuable business insights from data and a genuine eagerness to embrace and master challenging new concepts.

Software/hardware covered in the book

Operating system requirements

Python

Windows or macOS

Tableau

Windows or macOS

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

Within this book, you will find clear, detailed explanations of vital concepts, along with real-world examples that demonstrate their practical application. By delving into the taxonomy of BI and data within an organization, you will develop a comprehensive understanding of the subject matter, providing a solid foundation for your journey.