Chris French’s Post

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Founder of DataFrenchy I Linked[in] Instructor I Sr. Analyst at Spring Health I Helping underpaid & unappreciated professionals break into data analytics

For anyone who’s starting their data career journey, I’d give them this exact advice: Don’t try to be good at everything. Lemme explain that. When you are starting out, you’ll probably want to create a million dashboards, query some data, make some presentations, etc. But if you try and be good at everything, you’ll never excel at anything. I’d rather someone focus on a couple or few things, with business knowledge being the top one. I’d rather be the go-to person for a specific topic or be the Excel person than just be another person who is ok with a bunch of stuff. If you truly want to make an impact and grow, focus on being a subject matter expert and thinking of how you can learn the business inside and out. PS I’m doing a free live intro to SQL class in a couple of weeks! Check it out in the comments.

Chris French

Founder of DataFrenchy I Linked[in] Instructor I Sr. Analyst at Spring Health I Helping underpaid & unappreciated professionals break into data analytics

2w
Omer Faizal

I help businesses drive digital transformation with custom applications | 20+ apps built on Bubble.io | No-Code Developer | UI/UX, Business Analysis, Automation

2w

Great advice Chris French. I still would say important to have a basic understanding of all topics to stay versatile. That one thing you spent years studying might end up not exactly what you expect to build your career on, so versatility keeps your options just a bit more open.

Banji Alo

Data Scientist, Career Mentor, Author of Bestselling Books. I help job seekers land data analyst roles and empower professionals to stand out in their careers. Follow me for actionable career advice

2w

It's tempting to want to cover all grounds, Chris. But the sweet spot is focusing on depth instead of breadth

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Stephanie Koscica

Creative, intuitive, and empathetic individual with extensive experience within the healthcare field, more specifically providing direct patient care to individuals with a variety of conditions and abilities.

2w

this is great advice. I started to burn out quick when I was trying to complete my data courses and learn another new skill at the same time. Recently, I've made more progress focusing on ONE skill versus trying to learn all of them within a short period of time. I know some people like the "fast track" in life, but I do feel the same as you, that you can't be good at everything, and complete everything super fast. You'll burn the candle out quick, leaving you with no room to learn and grow. Thanks for sharing again. :)

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Sudhanshu Tiwari

Data Science@Internshala | Data Analytics | Python | SQL | ML | ECE '24

2w

Finding on what not to focus on is hard, maybe that's what we try to figure with experience.

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Andy Werdin

I help Data Analysts build a career | Director of Analytics | Python Expert | Advocate for Soft Skills in Data | ex-Zalando

2w

Well said! Don't try to cover every tool at once, but become good at the one most relevant for your current career level and focus more on the surrounding soft skills that will enable you to have a real impact on the business.

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Kevin Webster, MBA

Data/BI Analyst🔹Supply Chain Expertise🔹Excel, VBA, SQL, Power BI🔹I help get the right data to the right people at the right time

2w

This makes perfect sense once you're in a role, but what about when you're applying? I literally got a certification called "Excel Ninja" but this sort of expertise doesn't always translate

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Albert Edwards

Helping UK and US Data Scientists find higher-paying ($24,900 average pay-increase) and more exciting jobs via social skills. 6 previous clients currently in their dream job. Data Scientist.

2w

also need to share your work so people know you're the expert!

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Lauren Rosenthal

Maven Analytics B2B Customer Success Lead & Analytics Specialist | Data Literacy Obsessed | SQL | Customer Success

2w

I totally agree! Being the expert in 1 or 2 tools is better than being mediocre at 5 🤷♀️

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