Learn the foundations of business intelligence, sector trade-offs, organizational structures, and technology stacks while mastering coursework, certifications, and interview success strategies
Purchase of the print or Kindle book includes a free PDF eBook
Key Features
Identify promising job opportunities and ideal entry point into BI
Build, design, implement, and maintain BI systems successfully
Ace your BI interview with author's expert guidance on certifications, trainings, and courses
Book DescriptionNavigating 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.What you will learn
Understand BI roles, roadmap, and technology stack
Accelerate your career and land your first job in the BI industry
Build the taxonomy of various data sources for your organization
Use the AdventureWorks database and PowerBI to build a robust data model
Create compelling data stories using data visualization
Automate, templatize, standardize, and monitor systems for productivity
Who this book is forThis book is for BI developers and business analysts who are passionate about data and are looking to advance their proficiency and career in business intelligence. While foundational knowledge of tools like Microsoft Excel is required, having a working knowledge of SQL, Python, Tableau, and major cloud providers such as AWS or GCP will be beneficial.
Author Biography:
Eduardo Chavez, a Google Professional with over 18 years of industry experience, hails from Mazatlan, Mexico. He holds multiple Data certifications from Oracle, Microsoft, Google, and AWS since 2010. With a Bachelor's degree in Information Systems and three Master's degrees, including IT, Business Administration, and Business Analytics, Eduardo specializes in SQL, Semantic Layers, and Data Modeling. He has worked for prominent private companies like Accenture, Oracle, and Google, as well as the University of Minnesota in the Public Sector. Eduardo is known for advocating the rapid development cycle, emphasizing Late Binding Data Warehousing, Rapid Prototyping, and a Top-Down approach. Danny Moncada is a seasoned IT professional with 15 years of experience, excelling in project implementations related to database administration, data analysis, and data engineering. He has contributed his expertise to renowned companies like Cigna Healthcare, Indeed, IOTAS, as well as the University of Minnesota in the non-profit sector. In 2020, Danny completed his M.S. in Business Analytics from the Carlson School of Management, where he was recognized as the most helpful student by his peers. He has achieved various certifications, including Python Programming from NYU, Google Cloud Platform, and IBM Data Engineering paths from Coursera. Danny's specialties lie in data visualization, analysis, and data warehousing.
