Annie Nelson

How to Become a Data Analyst (eBook, PDF)

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

• Format: PDF

Produktbeschreibung

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 role * Ways 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 competitive * Explorations 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't * Strategies for using ChatGPT to help you in your job search A 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.

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Produktdetails

• Verlag: Wiley-Blackwell
• Seitenzahl: 288
• Erscheinungstermin: 23. November 2023
• Englisch
• ISBN-13: 9781394202256
• Artikelnr.: 69528987

Autorenporträt

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.

Inhaltsangabe

Preface xiii

Introduction xix

Part I The Fun Part

Chapter 1 Is Data Analytics Right for Me? 3

What Does a Data Analyst Do Every Day? 4

Hours/Time 6

In-Person Data Jobs 9

What Makes a Good Analyst? 10

Planning 12

Organization 13

Critical Thinking/Strategy 14

Collaboration/Communication 15

What Tools Should I Learn? 17

Excel/Google Sheets 17

SQL 19

Tableau/Power BI 21

Python 24

R 25

Which Entry-Level Tech Job Is Right for Me? 25

What's Next 29

Chapter 2 Understanding the Paths into Data 31

How Hard Is It to Become a Data Analyst? 32

What Are My Options for Getting into Data Analytics? 34

Transitioning from an Analyst-Adjacent Role 35

Getting a Degree 35

Boot Camps 36

When a Boot Camp May Be the Right Option for You 37

How to Pick a Good Boot Camp 38

DIY Approach 40

How I Decided on the DIY Approach 41

Chapter 3 Designing Your Data Analyst Roadmap 45

Can You Shows Me Your Data Analyst Roadmap? 46

Building Your Roadmap 46

Step 1: Skill Development 47

Step 2: Building a Portfolio 49

Step 3: Getting Yourself Ready to Job Search 52

How Do I Choose the Best Course? 53

What Makes a Good Course 55

Learning Styles 55

Budget 56

Support 57

Interests 58

Time Constraints 59

Getting Started for Free 60

When Not to Pick a Course: How to Avoid Course Hopping 61

Chapter 4 My Experience with Data Analytics Courses 63

The Beginning 63

The Google Certificates Course 64

Learning SQL 65

Learning Tableau and R 68

Finishing the Course 70

What Came Next 72

Changing Careers 72

Course Hopping: When Is Taking Another Course Worth It? 73

Part II The Scary Part 77

Chapter 5 Introduction to Portfolios 79

What Is a Data Analytics Portfolio? 79

Can I See an Example? 80

Why Do I Need a Portfolio? 81

As an Analyst 81

As a Job Seeker 82

If I Have Experience from Another Job, Do I Still Need a Portfolio? 83

Chapter 6 Portfolio Project FAQ 85

How Do I Find Free Data? 86

Maven Analytics 87

Real World Fake Data 89

Your Data 89

Data from Me! 90

SQL Practice 91

Other Places 92

Can You Tell Me More about Completing Projects? 93

How Do I Get Started on Projects? 93

Does My Project Need to Be Original and Industry Specific? 95

How Do I Know When a Project Is Ready? 96

Where Do I Publish and Store My Work? 96

How Many Projects Do I Need? 98

Should I Share My Work Publicly? 99

Project Time! 100

Chapter 7 Portfolio Project Handbook 101

Project Levels: What Separates a Beginner from an Intermediate Project? 102

First Project 102

Beginner Project 103

Intermediate Project 103

Regular Tableau User 104

Guided Projects 104

New Year's Eve Resolutions Project 104

Case Study: New Year's Eve Resolutions Project 105

Semi-Structured Case Study with Hints 106

Final Thoughts 108

Help Desk Project 108

Case Study: Help Desk Project 109

Semi-Structured Prompts 109

Pizza Sales Project 111

Case Study: Pizza S