Mo Chen

STOP what you’re doing and READ THIS NOW. DataCamp just opened all 600 of their premium courses for FREE, but only this week.

You know I’ve been learning with DataCamp for years now, as their career and skill tracks actually match what companies are hiring for.

If I were you, I’d pick these courses and tracks:

SQL
SQL Fundamentals: datacamp.pxf.io/6y4Q63
Data Analyst in SQL: datacamp.pxf.io/2a4L6G

Python
Python Data Fundamentals: datacamp.pxf.io/zxJ5K7
Data Analyst in Python: datacamp.pxf.io/094M6L

Power BI
Power BI Fundamentals: datacamp.pxf.io/RGeN9y
Data Analyst in Power BI: datacamp.pxf.io/4G4xNG

Tableau
Data Analyst in Tableau: datacamp.pxf.io/zxJ5o0

Excel
Excel Fundamentals: datacamp.pxf.io/e1m5z6

Or you can simply head here to browse through all 600 courses.
FOR FREE: datacamp.pxf.io/7aY9NO

1 day ago | [YT] | 203

Mo Chen

You can build a Data Portfolio in 30 days.
And the only thing you need is

A reliable structure to follow.

Here it is:

Part 1: Problem Framing and Business Questions
- Project name Scenario
- Stakeholders
- Problem statement
- Sub-questions (the smaller questions that, when answered, combine to solve the main problem)

Part 2: Data Requirements and Gathering
- List target calculations and KPIs needed to answer sub-questions
- Map fields (match each calculation to the dataset columns)
- Filter irrelevant fields early on to keep things clean

Part 3: Data Analysis
- Exploring Data
- Profiling Data
- Cleaning Data
- Shaping Data
- Analyzing Data

Part 4: Presentation
- Dashboards in Tableau or Power BI (ideal for recruiters and stakeholders).

I created a free email course that guides you on how I built 50+ Data Projects in 90 days.

Grab it here: mochen.info/50-projects-90-days/

1 week ago | [YT] | 18

Mo Chen

Weekend fun :)

1 week ago | [YT] | 47

Mo Chen

When I frame problems, I don't overcomplicate it.
I start with:

- "Where are we making more sales?"
- "Which hospitals have the highest ratings?"
- "Which companies have the highest P/E ratios?"
- "Which segments of customers buy more often?"

These are questions any beginner or any business stakeholder can understand.

Then I branch from there into more complex sub-questions:
- Why are these hospitals rated higher?
- What role does having emergency services play?
- How do dividend policies affect valuation?
- How do customer cohorts behave over time?

This branching method is what gives MULTIPLE projects.

Agree?

1 week ago | [YT] | 112

Mo Chen

You know when you're watching a show you really like or listening to your favourite podcast and you think, wow, it would be so cool if one day I could be the guest on one of these shows or podcasts?

Well, that day has come 🎤

Richard Cotton from DataCamp was kind enough to host me on his DataFramed podcast, episode 326.

Not sure how it took him so long to bring me on the podcast!

If you're interested in data analytics to any extent, whether you're already in the field or looking to get into the field, I highly recommend this episode.

I brought my usual honest, straightforward and no-fluff approach when answering Richie's questions.

I really hope you like the episode. Check it out using the link below:
https://www.youtube.com/watch?v=T2W8l...

You can also find the podcast version on Spotify and Apple Music.

3 weeks ago | [YT] | 99

Mo Chen

It’s finally here.
The Data Analysis Lab is now live.

This is a space built for one single outcome:
- Help you build a job-ready data portfolio in 30 days.

Inside the community, you’ll find:
- A day-by-day roadmap
- Three complete projects in Finance, Marketing, and Healthcare
- Step-by-step documentation, so you never feel stuck
- A space to share wins, get feedback, and grow with other analysts
- A structure designed so you can’t finish without a portfolio ready to go

I’ve spent the last few months building this for the people who are tired of:
- Collecting tutorials but not finishing anything
- Copying projects that look like everyone else’s
- Feeling alone in the process

The doors are open now:
​Join the Data Analysis Lab here -> www.skool.com/data-analysis-lab/about?ref=4f49c643…

This is your chance to stop scrolling, stop waiting, and finally build the proof of work you can be proud of.

3 weeks ago | [YT] | 73

Mo Chen

I'm writing this post today as a thank you to everyone who's ever engaged with my content - whether that's here on YouTube or on LinkedIn.

When I published my 1st video on my YouTube channel on the 7th January 2023, I never thought that a day like today would come.

48K followers on LinkedIn. 188K subs on YouTube.

I have to be honest though, these numbers REALLY DO NOT MEAN MUCH TO ME.

I began on this content creation journey with one ultimate goal in my mind:

to help like-minded individuals who are willing to work just as hard as me, who show just as much respect and care for others as me,

I wanted to connect with such individuals, and help them wherever and whenever I can.

And here comes the daydreaming bit; I wanted to create a safe and supportive environment, a community, where we can learn and grow TOGETHER.

I am proud to say that I have, or I should actually rather say we have, achieved to create such a platform, such a community.

The community is not even officially open yet to the public, but there are already 36 members who invested a significant amount of money into themselves and into our community.

To these 36 people, I will be forever grateful as without amazing community members, I would've never been able to set up an amazing community.

The official community launch is on 15th October (Wed), and I honestly cannot wait to see everything that I've been working on for the past 18 months or so go live.

Thank you again to anyone and everyone who spent even 3 seconds engaging with my content, with special thanks to people who spent a considerably more amount of time watching my videos,

an even bigger and greater and larger thank you to anyone who has ever invested into themselves by learning data analysis through my products, services and classes,

and the biggest thank you I can possibly say and think of goes to all 36 founding members of the community that will launch next Wednesday.

Without an eager, open-minded audience who are ready and willing to go on a journey of continuous learning and growth, I would still be stuck on zero subscribers on YouTube and absolutely no followers on LinkedIn.

This is clearly not the case, so thank you everyone!

PS Just a glimpse of what I will offer inside the community (official launch to the public on the 15th Oct)

✅ Premium Projects (Finance, Marketing, Healthcare) across Excel, SQL, Tableau & Power BI
✅ Step-by-Step Documentation + Video Tutorials
✅ Weekly Q&As + Direct Access to Me & Like-Minded Analysts
✅ Ultimate Resume Blueprint (How to Write the Perfect Resume) + Cover Letter Framework
✅ Ultimate Portfolio Blueprint (How to Create an Outstanding Data Portfolio)
✅ LinkedIn & Job Strategy Resources (So You Actually Get Noticed)
✅ Lifetime Access to Future Projects

3 weeks ago | [YT] | 159

Mo Chen

Here’s what I believe every portfolio cover page should include:
(Steal)

𝗩𝗶𝗱𝗲𝗼 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻
Most people treat their data portfolio like a static resume with screenshots and text.
But today, it’s more important than ever to remember that people hire people.
A short video presentation at the top of your portfolio is a powerful differentiator because:
• It builds trust immediately.
• It shows your communication skills.
• It humanizes your work.
• It makes it easier for someone to remember you.

𝗔𝗯𝗼𝘂𝘁 𝗠𝗲
Goal: In two concise sentences, position who you are and what’s inside.
How to build:
• Limit: 2 sentences (35–50 words total).
• Sentence 1: Who you are (role, domain focus, business lens).
• Sentence 2: What they’ll find inside (types of projects, value, tools).

𝗖𝗼𝗻𝘁𝗮𝗰𝘁
Goal: Make it effortless to reach you.
How to build:
• Present three links as a simple list or inline buttons: Resume, LinkedIn, Email.
• Add your location for context (optional but helpful).

𝗦𝗸𝗶𝗹𝗹𝘀 (𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄)
Goal: Show breadth quickly and link to depth below.
How to build:
• Summarize your strengths across two areas: technical and soft skills.

𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗚𝗮𝗹𝗹𝗲𝗿𝘆
Goal: Funnel the viewer into your best work with context.
How to build:
• Title format: Industry/Metric + Tool + Outcome.
• One-line subtitle: Business problem → impact metric.
• Link to each project page.

The community I’m launching on October 15th will include step-by-step modules showing you exactly how to set this up.

If that sounds interesting to you:
• Go to mochen.info/
• Sign up for the newsletter
• Reply to the welcome email :)

3 weeks ago | [YT] | 96

Mo Chen

If I decided to switch careers to Data Analytics,
And wanted to be job-ready ASAP,
This is exactly what I’d do:

1. I’d collect 50–100 job descriptions in my targeted industry. Then I’d extract the core tools, skills, and processes companies keep asking for (SQL, Excel, Tableau, operational reporting, etc.).

2. Build 3 Projects that match those job descriptions, all grounded in real data, real KPIs, and end-to-end pipelines.
Example:
→ A Finance project (SQL + Tableau)
→ A Marketing project (SQL + Tableau)
→ A Healthcare project (Excel + Power BI)

3. I’d package those 3 projects into a clean, structured portfolio. One portfolio. Three projects. Job-ready.

4. I’d stop hiding behind certificates. I’d lead with evidence:
→ “Here’s how I analyze real data.”
→ “Here’s how I solve business problems.”
→ “Here’s how I present insights.”

Do this for 30 days and you’ll be ahead of 90% of applicants still stuck in “learning mode.”

That’s exactly what we'll be doing inside my community.
It’s where I give you the projects, documentation, and step-by-step guidance to build your portfolio ... fast.

If that sounds interesting, sign up for my newsletter and reply to the welcome email :)

mochen.info/

4 weeks ago | [YT] | 274

Mo Chen

Remember to appreciate the simple things in life.

I love being outdoors whether that's riding the bike with Rocket, paddle boarding with my friend, or something else.

I can simply look at the sky and enjoy the sound of nature around me - and be happy. 

I hope you're all doing good 😃

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1 month ago | [YT] | 183