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)

What this book covers

Chapter 1, Breaking into the BI World, offers a general overview of BI, an introduction to BI roles, and an overview of BI technologies and entering the BI space.

Chapter 2, How to Become Proficient in Analyzing Data, explores how to build a taxonomy of data sources, using the right tools to explore data, and understanding an organization’s data needs.

Chapter 3, How to Talk Data, delves into presenting your findings, talking with business stakeholders, data visualization basics, and telling a story with data

Chapter 4, How to Crack the BI Interview Process, examines the tips and tricks to find the right BI interview and techniques to approach common BI interview questions

Chapter 5, Business Intelligence Landscape, looks at the current state of the BI landscape, including common tools, the most effective technologies to study, and the differences between BI roles.

Chapter 6, Improving Data Proficiency or Subject Matter Expertise, explores data behavior in different business units and leveraging online tools to increase and improve BI skills.

Chapter 7, Business Intelligence Education, delves into certifications, academic programs, training courses, and books to continue your BI education.

Chapter 8, Beyond Business Intelligence, examines business analytics, data science, and data exploration.

Chapter 9, Hands-On Data Wrangling and Data Visualization, looks at simple data wrangling, visualization, and dashboard exercises with Python and Tableau.