How to Become a Data Analyst : My Low-Cost, No Code Roadmap for Breaking into Tech / Annie Nelson.

Format:

Book

Author/Creator:

Nelson, Annie, 1985-2003, author.

Language:

English

Subjects (All):

Quantitative research--Vocational guidance.

Quantitative research.

Physical Description:

1 online resource (291 pages)

Edition:

First edition.

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons, Inc., [2024]

Summary:

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

Contents:

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

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

Writing Follow-Up Emails

Be Specific

Chapter 12 My Job Search

"Open to Work?"

Beginning to Search

Getting Reponses (and Rejections)

Pivoting

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

Final Checklist

Appendix C My Data Analyst Journey

January

February

March

April

May

June

July

August-December

Acknowledgments

About the Author

Index

EULA.

Notes:

Description based on print version record.

Includes index.

Other Format:

Print version: Nelson, Annie How to Become a Data Analyst

ISBN:

9781394202249

1394202245

9781394202256

1394202253

OCLC:

1410862119