Business intelligence career master plan launch and advance your BI career with proven techniques and actionable insights
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Format
Language
English
ISBN
1801079692, 9781801079693
Notes
General Note
Description based upon print version of record.
General Note
Data behavior in human resources
Description
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 eBookKey FeaturesIdentify promising job opportunities and ideal entry point into BIBuild, design, implement, and maintain BI systems successfullyAce your BI interview with author's expert guidance on certifications, trainings, and coursesBook 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 learnUnderstand BI roles, roadmap, and technology stackAccelerate your career and land your first job in the BI industryBuild the taxonomy of various data sources for your organizationUse the AdventureWorks database and PowerBI to build a robust data modelCreate compelling data stories using data visualizationAutomate, templatize, standardize, and monitor systems for productivityWho 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.
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O'Reilly O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Chavez, E., & Moncada, D. (2023). Business intelligence career master plan: launch and advance your BI career with proven techniques and actionable insights . Packt Publishing, Limited.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Chavez, Eduardo and Danny, Moncada. 2023. Business Intelligence Career Master Plan: Launch and Advance Your BI Career With Proven Techniques and Actionable Insights. Birmingham: Packt Publishing, Limited.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Chavez, Eduardo and Danny, Moncada. Business Intelligence Career Master Plan: Launch and Advance Your BI Career With Proven Techniques and Actionable Insights Birmingham: Packt Publishing, Limited, 2023.
Harvard Citation (style guide)Chavez, E. and Moncada, D. (2023). Business intelligence career master plan: launch and advance your BI career with proven techniques and actionable insights. Birmingham: Packt Publishing, Limited.
MLA Citation, 9th Edition (style guide)Chavez, Eduardo,, and Danny Moncada. Business Intelligence Career Master Plan: Launch and Advance Your BI Career With Proven Techniques and Actionable Insights Packt Publishing, Limited, 2023.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
56562122-c19a-898a-06eb-ae96a556f48f-eng
Grouping Information
| Grouped Work ID | 56562122-c19a-898a-06eb-ae96a556f48f-eng |
|---|---|
| Full title | business intelligence career master plan launch and advance your bi career with proven techniques and actionable insights |
| Author | chavez eduardo |
| Grouping Category | book |
| Last Update | 2025-03-09 04:38:19AM |
| Last Indexed | 2025-04-11 03:13:18AM |
Book Cover Information
| Image Source | default |
|---|---|
| First Loaded | Dec 30, 2024 |
| Last Used | Mar 15, 2025 |
Marc Record
| First Detected | Dec 16, 2024 11:27:03 PM |
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| Last File Modification Time | Dec 17, 2024 08:26:28 AM |
| Suppressed | Record had no items |
MARC Record
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| 245 | 1 | 0 | |a Business intelligence career master plan|h [electronic resource] :|b launch and advance your BI career with proven techniques and actionable insights /|c Eduardo Chavez, Danny Moncada. |
| 260 | |a Birmingham :|b Packt Publishing, Limited,|c 2023. | ||
| 300 | |a 1 online resource (284 p.) | ||
| 500 | |a Description based upon print version of record. | ||
| 500 | |a Data behavior in human resources | ||
| 505 | 0 | |a Cover -- Title Page -- Copyright -- Dedication -- Foreword -- Contributors -- Preface -- Chapter 1: Breaking into the BI World -- Where to start? -- BI roles -- Problem solving -- Specific industry knowledge and subject matter expertise -- Communication skills -- Statistical analysis -- Technical knowledge -- Business acumen -- Keep up with innovation -- Potential entrances to the BI world -- BI roadmap -- ETL developers -- Data architects -- Data modelers -- BI developers -- Data scientists -- Technology solutions stack -- Non-technical data analysis -- Case 1 -- Case 2 -- Case 3 -- Case 4 | |
| 505 | 8 | |a Case 5 -- Summary -- Chapter 2: How to Become Proficient in Analyzing Data -- Building a taxonomy of your data sources -- How to use a BI tool to explore data -- Understanding your data needs -- Summary -- Chapter 3: How to Talk Data -- Presenting data -- Know your audience -- Choose the right visualization -- Keep it simple -- Use color and formatting effectively -- Provide context -- Tell a story -- High-level dashboards -- Operational reports -- Talking to stakeholders -- Data visualization taxonomy -- Bar charts -- Line charts -- Pie charts -- Scatter plots -- Area charts -- Heat maps | |
| 505 | 8 | |a Bubble charts -- Gauge charts -- Tree maps -- Box plots -- Advanced data visualizations -- Sankey diagrams -- Bullet charts -- Taxonomy diagrams -- Pareto diagrams -- Decision tree for picking a visualization -- Storytelling -- Summary -- Chapter 4: How To Crack the BI Interview Process -- Finding the right interview -- Building a business problem and data solutions matrix -- Potential business cases and solutions -- Teamwork -- Customer service -- Adaptability -- Time management -- Communication -- Motivation and values -- A hypothetical BI interview process and what to expect | |
| 505 | 8 | |a General business intelligence interview questions -- Scenario-based BI questions -- Business case study questions -- SQL business intelligence interview questions -- Database design business intelligence questions -- Python business intelligence interview questions -- Summary -- Chapter 5: Business Intelligence Landscape -- The current landscape and the most effective technologies to study -- Collecting data -- Storing data -- Cleaning and preparing data -- Analyzing data with BI tools -- Focusing on user experience -- The use of AI | |
| 505 | 8 | |a BI developer versus BI architect versus data engineer versus data modeler versus business analyst -- Business acumen -- Increased productivity -- Automation -- Templating -- Standardization -- Monitoring systems -- Efficient team management -- Summary -- Chapter 6: Improving Data Proficiency or Subject Matter Expertise -- Data proficiency -- Concluding thoughts -- Subject matter expertise -- Concluding thoughts -- Data behavior in different business units -- Data behavior in marketing -- Data behavior in sales -- Data behavior in finance and accounting -- Data behavior in operations | |
| 520 | |a 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 eBookKey FeaturesIdentify promising job opportunities and ideal entry point into BIBuild, design, implement, and maintain BI systems successfullyAce your BI interview with author's expert guidance on certifications, trainings, and coursesBook 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 learnUnderstand BI roles, roadmap, and technology stackAccelerate your career and land your first job in the BI industryBuild the taxonomy of various data sources for your organizationUse the AdventureWorks database and PowerBI to build a robust data modelCreate compelling data stories using data visualizationAutomate, templatize, standardize, and monitor systems for productivityWho 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. | ||
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| 776 | 0 | 8 | |i Print version:|a Chavez, Eduardo|t Business Intelligence Career Master Plan|d Birmingham : Packt Publishing, Limited,c2023 |
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