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    How to Become a Data Analyst

    My Low-Cost, No Code Roadmap for Breaking into Tech

    AvAnnie Nelson

    Häftad, Engelska, 2023

    193 kr

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    E-bok

    309 kr

    E-bok

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    Beskrivning

    Start a brand-new career in data analytics with no-nonsense advice from a self-taught data analytics consultant In 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 grind and how data analytics—with its wide variety of skills, roles, and options—is the perfect field for people looking to refresh their careers. Annie offers practical and approachable data portfolio-building advice to help you create one that’s manageable for an entry-level professional but will still catch the eye of employers and clients. You’ll also find: Deep dives into the learning journey required to step into a data analytics roleWays to avoid getting lost in the maze of online courses and certifications you can find online—while still obtaining the skills you need to be competitiveExplorations of the highs and lows of Annie’s career-change journey and job search—including what was hard, what was easy, what worked well, and what didn’tStrategies for using ChatGPT to help you in your job searchA must-read roadmap to a brand-new and exciting career in data analytics, How to Become a Data Analyst is the hands-on tutorial that shows you exactly how to succeed.

    Produktinformation

    • Utgivningsdatum:2023-12-25
    • Mått:152 x 229 x 13 mm
    • Vikt:295 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:288
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781394202232

    Utforska kategorier

    • Smarta praktiska råd inom Hälsa och familj
    • Programmeringsböcker inom Data och IT

    Mer om författaren

    ANNIE NELSON is a self-taught data analyst and Tableau consultant, as well as a popular commentator on TikTok (@anniesanalytics) where she shares her experiences and journey through the world of data analytics. She works remotely, balancing her self-scheduled work with frequent trips abroad and growing her substantial following on social media.

    Innehållsförteckning

    • Preface xiiiIntroduction xixPart I The Fun Part Chapter 1 Is Data Analytics Right for Me? 3What Does a Data Analyst Do Every Day? 4Hours/Time 6In-Person Data Jobs 9What Makes a Good Analyst? 10Planning 12Organization 13Critical Thinking/Strategy 14Collaboration/Communication 15What Tools Should I Learn? 17Excel/Google Sheets 17SQL 19Tableau/Power BI 21Python 24R 25Which Entry-Level Tech Job Is Right for Me? 25What’s Next 29Chapter 2 Understanding the Paths into Data 31How Hard Is It to Become a Data Analyst? 32What Are My Options for Getting into Data Analytics? 34Transitioning from an Analyst-Adjacent Role 35Getting a Degree 35Boot Camps 36When a Boot Camp May Be the Right Option for You 37How to Pick a Good Boot Camp 38DIY Approach 40How I Decided on the DIY Approach 41Chapter 3 Designing Your Data Analyst Roadmap 45Can You Shows Me Your Data Analyst Roadmap? 46Building Your Roadmap 46Step 1: Skill Development 47Step 2: Building a Portfolio 49Step 3: Getting Yourself Ready to Job Search 52How Do I Choose the Best Course? 53What Makes a Good Course 55Learning Styles 55Budget 56Support 57Interests 58Time Constraints 59Getting Started for Free 60When Not to Pick a Course: How to Avoid Course Hopping 61Chapter 4 My Experience with Data Analytics Courses 63The Beginning 63The Google Certificates Course 64Learning SQL 65Learning Tableau and R 68Finishing the Course 70What Came Next 72Changing Careers 72Course Hopping: When Is Taking Another Course Worth It? 73Part II The Scary Part 77Chapter 5 Introduction to Portfolios 79What Is a Data Analytics Portfolio? 79Can I See an Example? 80Why Do I Need a Portfolio? 81As an Analyst 81As a Job Seeker 82If I Have Experience from Another Job, Do I Still Need a Portfolio? 83Chapter 6 Portfolio Project FAQ 85How Do I Find Free Data? 86Maven Analytics 87Real World Fake Data 89Your Data 89Data from Me! 90SQL Practice 91Other Places 92Can You Tell Me More about Completing Projects? 93How Do I Get Started on Projects? 93Does My Project Need to Be Original and Industry Specific? 95How Do I Know When a Project Is Ready? 96Where Do I Publish and Store My Work? 96How Many Projects Do I Need? 98Should I Share My Work Publicly? 99Project Time! 100Chapter 7 Portfolio Project Handbook 101Project Levels: What Separates a Beginner from an Intermediate Project? 102First Project 102Beginner Project 103Intermediate Project 103Regular Tableau User 104Guided Projects 104New Year’s Eve Resolutions Project 104Case Study: New Year’s Eve Resolutions Project 105Semi-Structured Case Study with Hints 106Final Thoughts 108Help Desk Project 108Case Study: Help Desk Project 109Semi-Structured Prompts 109Pizza Sales Project 111Case Study: Pizza Sales Project 111Dirty Data + Case Study 112Dirty Data + Case Study + Hints 113Clean Data + Case Study 114Semi-Structured Case Study with Hints 115Busy Times 116Pizzas During Peak Periods 116Best- and Worst-Selling Pizzas 116Average Order Value 117Seating Capacity 117Final Thoughts 118SQL Project Creation Advice 119From the Portfolio to the Job Search 121Getting in the Mindset for Projects 122Part III The Hard Part 125Chapter 8 Starting Your Job Search 127How Do I Know When I Am Ready to Start My Job Search? 127Where and How Should I Look for Jobs? 129Searching Posts 129Job Titles 130Where Can I Find Salary Information? 131What Is the Data Analyst Career Progression? 131Chapter 9 Résumé Building and Setting Your Public Image 137How Do I Write a Résumé? 138Length 138Technical Skills 141Relevant History 142Formatting 142Use Metrics 143How Do I Optimize My LinkedIn? 144History 144Connections 146Headline 149Profile Photo 150Can You Tell Me How to Network? 151What Is Networking (and What Is It Not)? 151Networking and Messaging on LinkedIn 153Messaging Jobs Directly 154Networking Events 156Interviewing 157Bonus Tip: An Idea for Your First LinkedIn Post 158Chapter 10 Stages of Data Interviews 161Why Do Interviews Take So Long? 161Can You Tell Me More about the Interview Stages? 162Phone Screen 163Meeting the Hiring Manager 165Behavioral Interview 166Technical Interview 166Panel Interview 169Culture Fit 170Follow-up 171How I Handled Some Common How-Tos 172Tell Me about Yourself 173How to Come Up with Good Questions 175Resources 180Teal 180Maven Analytics 181Content Creators/Small Businesses 182Working with Data Creators 183Using AI 184Chapter 11 How to Use ChatGPT to Aid Your Job Search 185Writing a Résumé 185Writing Cover Letters 186Practicing for Interviews 186Phone Screen 186Technical Interview 189Behavioral Interview 189Writing Follow-Up Emails 191Be Specific 192Chapter 12 My Job Search 195“Open to Work?” 195Beginning to Search 197Getting Reponses (and Rejections) 200Pivoting 202Interviewing 204Decision Day 207Part IV The Bonus Part 209Chapter 13 After the Job Offer 211Starting the Job 212Dealing with Imposter Syndrome 213Steps to Success 214What It’s Like Working Remotely 215Some Things About Tech That Surprised Me 217121s 217Home Office Stipend 217Company Party/Offsites 218Meetings 218Referrals 219Layoffs 220Problem‐ Solving 221Travel 222Data Has Changed My Life 224Chapter 14 Preparing for/Recovering from a Layoff 225Don’t Ignore Red Flags 225Resumes and Networking—Restarting the Job Search 226Updating my Portfolio 229The Layoff 230Adjusting for Your Situation 235Closing Thoughts 236Appendix A Data Analytics Roadmap Checklist 239Appendix B Tableau Tips 241Appendix C My Data Analyst Journey 249Acknowledgments 257About the Author 259Index 261