The Best Way to Showcase Your Work

Plus: How to Make Working Hard a Part of You

👋 Hey there !!

Welcome to Career Compass! In this week’s newsletter, I’ll cover:

  1. THE BEST WAY TO SHOWCASE YOUR WORK

  2. HOW TO BUILD STRONG TECHNICAL AND ANALYTICAL SKILLS

  3. HOW TO MAKE WORKING HARD A PART OF YOU

Table of Contents

Let’s get started!
Read time: 5 minutes

DATA CAREER ADVICE
THE BEST WAY TO SHOWCASE YOUR WORK

Detailed Report Stepss

Detailed Report Steps

Picture this: You’re sitting with the Hiring Manager of that Data Analytics job you’ve always wanted.

“What was your approach to this project?"- the hiring manager asks.

You start going back and forth, trying to explain your reasoning behind your decisions, only to find out that you've lost that job opportunity in those first 10 seconds.

That ends now.

Why is this Important to You❓

Having a systematic approach to data documentation will help you create a mind map that you can use to explain your work to anyone.

How can You address this❓

Here are the Detailed Report steps that I use in my Ultimate Data Portfolio ⬇️

1. Project Summary: What is the purpose of your work?

2. Project Environment: What technical tools did you use?

3. Scope & Project Steps: What does your work cover?

4. SGP (Sources, Gathering, Preparation): Where does your data come from, and how did you deal with the inconsistencies in the dataset?

5. Analysis and Insights: What did you find? What are you offering as a solution?

⚠️ CTA

The key here is developing your approach to documentation. You can see a different list of steps in this video ⬇️

Don’t forget to check out my usual polls at the bottom of the newsletter to give your feedback.

DATA SKILLS TIPS
HOW TO BUILD STRONG TECHNICAL AND ANALYTICAL SKILLS

Building Technical & Analytical Skills

Building Technical & Analytical Skills

The goal is to get a data analysis job, which requires breadth instead of depth.
Learning what to learn will speed up the process.

Why is this Important to You❓

In this post, I speak about the best way to combine theory and practice for effective learning.

When you know how to learn, the next question should be what to learn.

How can You address this❓

Here’s what you should go for ⬇️

  1. If we’re speaking about Excel, explore Pivot Tables, Pivot Charts, and the most popular Formulas.

  2. Learn about SQL queries that extract and analyze data rather than those that create and alter databases.

  3. It doesn’t really matter whether you apply visualization skills in Tableau or Power BI. Just learn the one that businesses you want to apply use. Remember to always think about the end-user.

  4. When you learn Python, focus on data analytics. Start with libraries like Pandas, Numpy, Matplotlib, and Seaborn. If you want to learn about machine learning, try SciPy and Scikit-Learn next.

Pro-tip: For entry-level roles, it's good to know basic statistics like mean, median, and whether your data is skewed.

⚠️ CTA

This is only part one of the story. To learn more about the remaining parts, check out this video ⬇️

What’s Your #1 reason to check out Career Compass?

MO’S PERSONAL INSIGHTS
HOW TO MAKE WORKING HARD A PART OF YOU

Working hard will make you dream big

Working hard will make you dream big

Although the demand for data analysis is on the rise, the number of qualified applicants has also increased significantly in recent years. Sounds cliche, but a simple and effective way you could stand out from the crowd, would be through consistent, hard work.

Why is this Important to You❓

You should focus on improving your work ethic instead of looking for shortcuts to success. There's a way to do this in Data Analysis.

How can You address this❓

Add these notes to your workflow ⬇️

  1. Let the problem choose the skill you use, not the other way around: Instead of spending three hours writing VBA code in Excel to find a solution, you might solve the same problem in less than 15 minutes with Python.
    If you're into marketing, use tools specifically made for that. Instead of moving everything into SQL, why not learn and explore Google Analytics?

Pro-tip: Analogies are great for connecting new knowledge to what you already know. You can understand a topic better when you connect it to something familiar.

  1. Plan your bad days: Preparing for these times is just as important as anything else. You'll likely have more days when you feel like you're losing than days when you feel like you've succeeded.

  2. Don't be afraid to try 100 times: Thomas Edison once said, “I have not failed. I've just found 10,000 ways that won't work.
    Remember, form follows function. Those amazing dashboards you see on YouTube may look like they were built in 40 minutes, but in reality, creators spent hours developing them.

⚠️ CTA

Working hard doesn't mean everything has to be perfect in your eyes, as you might lose sight of what you've already accomplished. I've struggled with this too. You can see what I think about it in this video ⬇️.

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See you next week 👋

Mo Chen

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