How to Become a Data Analyst My Low-Cost, No Code Roadmap for Breaking into Tech

Data analyst and analytics consultant Annie Nelson walks you through how she took the reins and made a dramatic career change to unlock new levels of career fulfilment and enjoyment. In the book, she talks about the adaptability, curiosity, and persistence you'll need to break free from the 9-5...

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Detalles Bibliográficos
Otros Autores: Nelson, Annie, 1985-2003, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, Inc [2024]
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009811322906719
Tabla de Contenidos:
  • Cover Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Introduction
  • How Do I Know If Data Is a Good Fit for Me?
  • Who This Is Book For
  • Part I The Fun Part
  • Chapter 1 Is Data Analytics Right for Me?
  • What Does a Data Analyst Do Every Day?
  • Hours/Time
  • In-Person Data Jobs
  • What Makes a Good Analyst?
  • Planning
  • Organization
  • Critical Thinking/Strategy
  • Collaboration/Communication
  • What Tools Should I Learn?
  • Excel/Google Sheets
  • SQL
  • Tableau/Power BI
  • Python
  • Which Entry-Level Tech Job Is Right for Me?
  • What's Next
  • Chapter 2 Understanding the Paths into Data
  • How Hard Is It to Become a Data Analyst?
  • What Are My Options for Getting into Data Analytics?
  • Transitioning from an Analyst-Adjacent Role
  • Getting a Degree
  • Boot Camps
  • DIY Approach
  • How I Decided on the DIY Approach
  • Chapter 3 Designing Your Data Analyst Roadmap
  • Can You Shows Me Your Data Analyst Roadmap?
  • Building Your Roadmap
  • Step 1: Skill Development
  • Step 2: Building a Portfolio
  • Step 3: Getting Yourself Ready to Job Search
  • How Do I Choose the Best Course?
  • What Makes a Good Course
  • Getting Started for Free
  • When Not to Pick a Course: How to Avoid Course Hopping
  • Chapter 4 My Experience with Data Analytics Courses
  • The Beginning
  • The Google Certificates Course
  • What Came Next
  • Changing Careers
  • Course Hopping: When Is Taking Another Course Worth It?
  • Part II The Scary Part
  • Chapter 5 Introduction to Portfolios
  • What Is a Data Analytics Portfolio?
  • Can I See an Example?
  • Why Do I Need a Portfolio?
  • As an Analyst
  • As a Job Seeker
  • If I Have Experience from Another Job, Do I Still Need a Portfolio?
  • Chapter 6 Portfolio Project FAQ
  • How Do I Find Free Data?
  • Maven Analytics
  • Real World Fake Data
  • Your Data
  • Data from Me!
  • SQL Practice
  • Other Places.
  • Can You Tell Me More about Completing Projects?
  • How Do I Get Started on Projects?
  • Does My Project Need to Be Original and Industry Specific?
  • How Do I Know When a Project Is Ready?
  • Where Do I Publish and Store My Work?
  • How Many Projects Do I Need?
  • Should I Share My Work Publicly?
  • Project Time!
  • Chapter 7 Portfolio Project Handbook
  • Project Levels: What Separates a Beginner from an Intermediate Project?
  • First Project
  • Beginner Project
  • Intermediate Project
  • Regular Tableau User
  • Guided Projects
  • New Year's Eve Resolutions Project
  • Help Desk Project
  • Pizza Sales Project
  • SQL Project Creation Advice
  • From the Portfolio to the Job Search
  • Getting in the Mindset for Projects
  • Part III The Hard Part
  • Chapter 8 Starting Your Job Search
  • How Do I Know When I Am Ready to Start My Job Search?
  • Where and How Should I Look for Jobs?
  • Searching Posts
  • Job Titles
  • Where Can I Find Salary Information?
  • What Is the Data Analyst Career Progression?
  • Chapter 9 Résumé Building and Setting Your Public Image
  • How Do I Write a Résumé?
  • Length
  • Technical Skills
  • Relevant History
  • Formatting
  • Use Metrics
  • How Do I Optimize My LinkedIn?
  • History
  • Connections
  • Headline
  • Profile Photo
  • Can You Tell Me How to Network?
  • What Is Networking (and What Is It Not)?
  • Networking and Messaging on LinkedIn
  • Messaging Jobs Directly
  • Networking Events
  • Interviewing
  • Bonus Tip: An Idea for Your First LinkedIn Post
  • Chapter 10 Stages of Data Interviews
  • Why Do Interviews Take So Long?
  • Can You Tell Me More about the Interview Stages?
  • Phone Screen
  • Meeting the Hiring Manager
  • Behavioral Interview
  • Technical Interview
  • Panel Interview
  • Culture Fit
  • Follow-up
  • How I Handled Some Common How-Tos
  • Resources
  • Teal
  • Maven Analytics
  • Content Creators/Small Businesses.
  • Working with Data Creators
  • Using AI
  • Chapter 11 How to Use ChatGPT to Aid Your Job Search
  • Writing a Résumé
  • Writing Cover Letters
  • Practicing for Interviews
  • Phone Screen
  • Technical Interview
  • Behavioral Interview
  • Writing Follow-Up Emails
  • Be Specific
  • Chapter 12 My Job Search
  • "Open to Work?"
  • Beginning to Search
  • Getting Reponses (and Rejections)
  • Pivoting
  • Interviewing
  • Decision Day
  • Part IV The Bonus Part
  • Chapter 13 After the Job Offer
  • Starting the Job
  • Dealing with Imposter Syndrome
  • Steps to Success
  • What It's Like Working Remotely
  • Some Things About Tech That Surprised Me
  • 121s
  • Home Office Stipend
  • Company Party/Offsites
  • Meetings
  • Referrals
  • Layoffs
  • Problem‐Solving
  • Travel
  • Data Has Changed My Life
  • Chapter 14 Preparing for/Recovering from a Layoff
  • Don't Ignore Red Flags
  • Resumes and Networking-Restarting the Job Search
  • Updating My Portfolio
  • The Layoff
  • Adjusting for Your Situation
  • Closing Thoughts
  • Appendix A Data Analytics Roadmap Checklist
  • Appendix B Tableau Tips
  • What I Use Tableau For
  • The Why
  • The What
  • The How
  • The Where
  • The Why
  • Final Checklist
  • Appendix C My Data Analyst Journey
  • January
  • February
  • March
  • April
  • May
  • June
  • July
  • August-December
  • Acknowledgments
  • About the Author
  • Index
  • EULA.