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)

Data proficiency

Data proficiency is the ability to understand, use, and communicate data effectively. It is a set of skills that lets people collect, analyze, and interpret data to make better decisions. Data proficiency is important for everyone, but it is especially important for people who work in data-driven fields such as marketing, finance, and healthcare. Data proficiency is how you turn numbers into results, and it is a skill that successful data organizations have mastered. There are a few core competencies related to data proficiency, which are listed here:

  • Data literacy: This is the ability to understand and interpret data. It includes understanding the basics of statistics and data analysis and reading and understanding data visualizations.
  • Data analysis: This is the ability to collect, clean, and analyze data. It includes understanding several types of data analysis methods and being able to use them.
  • Data visualization: This is the ability to communicate...