Welcoem to posts!!
in the future - u will be able to do some more stuff here,,,!! like pat catgirl- i mean um yeah... for now u can only see others's posts :c
Most people focus on what to do to succeed, but itâs easier to figure out what guarantees failure.
Think about your portfolio.
Is it easier to identify how to make it good or how to make it NOT good?
What would make your portfolio completely invisible to recruiters?
If you know what makes your portfolio fail, you already know how to make it shine.
So, if you said that to fail, you must use complex visuals⌠turn it into a question:
How can I make my visuals more engaging?
No more guesswork.
Just clear steps forward.
Standing out isnât about doing everything right.
Itâs more about not doing the wrong things.
Try this for your portfolio.
I guarantee you will see results.
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âI am going to prepare my project plan.â
âImplement what I have learnt on my projects.â
âApply the different steps as much as possible in each project stage, Be more familiar with a few domains especially to define relevant KPIs (domain knowledge), Not be afraid to make mistakes and not let perfection undermine my motivation to complete a project.â
These are just some of the next steps people say they would take after finishing the Ultimate Project Builder.
This course is part of my welcome series in my newsletter.
Over 2,400 analysts have already joined and get my weekly data tips.
This is the only way to see all my content.
Sign up here: mochen.info/
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If you want to be paid what you deserve, learn to benchmark your skills and negotiate your salary.
Too many people accept less because they donât know their worth.
Knowing your value is essential in any job market.
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The âhowâ isnât as important as the âwhyâ.
Letâs say I want to segment customers for a marketing campaign.
The what (5 different ways):
1. Excel: RFM Analysis (Recency, Frequency, Monetary)
- Figure out each customer's recency (how recently they bought), frequency (how often they buy), and monetary value (how much they spend).
- Give each metric a score from 1 to 5, with 5 being the best.
- Add up the scores or put customers into groups based on their total RFM scores.
2. Power BI: Using DAX for Behavioral Segments
- Use DAX formulas to make columns that show important numbers.
- Set up rules with DAX to put customers into groups.
- Show these groups with Power BIâs filters and options to see how many are in each group.
3. Tableau: K-means Clustering
- Go to "Analytics," drag the "Cluster" tool to the visual area, and pick customer details for grouping.
- Look at and show the clusters to see what makes each customer group unique.
4. SQL: Customer Segmentation with CASE Statements
- Write a query to find each customerâs total spending and number of purchases.
- Use a CASE statement to group customers based on these numbers.
5. Python: K-Nearest Neighbors (KNN) for Clustering
- Load customer data and find important numbers.
- Use sklearnâs KNN tool to group customers.
- Check the groups to see which customers belong in each segment.
All this can be found online. But what really matters is:
- Why would you use customer segmentation to make a marketing campaign?
This is where real analysis starts.
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Imagine you work at an online store, and your job is to make weekly sales reports.
The company gets data from four different sources.
But thereâs a problem: you donât have a data engineer to help.
What now?
Hereâs what you can do:
The most important thing is to put all the data in one place.
But you donât want to change the original data, so use a âstaging area.â
Think of this as making a copy of the original data.
In this staging area, clean and transform the data.
Then, send the final version into a data warehouse or database.
Now, use this data with reporting tools (like Power BI or Tableau).
Set this pipeline to run every Monday, so you can work on those weekly reports with fresh data.
And thatâs it ...
A complete system to gather, clean, and organize data.
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To get a recruiterâs attention, keep a 3:1 read-to-reward ratio.
For every 15 words, give the recruiter something they really want to see â you can do what theyâre looking for.
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If youâre looking for help with your Presentation Skills, this is for you âŚ
âCan I have this in Excel?â is one of the best pieces of feedback Iâve ever read on the internet because it delivers a powerful message about presentation skills:
If you donât make it relatable, it wonât matter.
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If youâre looking for help with your Resume, this is for you âŚ
You canât improve what you donât measure.
I see people completely changing their resume after 100 applications and still seeing no improvements.
But I think I have better way for you to understand what might be going wrong.
Iâd like you to divide your resume into blocks:
1. Personal Information
2. Professional Summary
3. Work Experience
4. Education
Each block needs to be tested and analyzed.
Instead of applying to 100 jobs with the same resume, try applying to 25 jobs while only changing the personal information, then 25 more while only changing the work experience.
Once you identify a trigger (even if itâs a negative response, which, compared to ghosting, is an improvement), you can start seeing what might be working and make rational decisions.
The best part of this approach is that youâre using data-driven decisions on yourself, which is the best way to learn how to apply them.
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If youâre looking for help with your Communication Skills, this is for you âŚ
Some of the most amazing data scientists Iâve ever seen are so smart that they struggle to explain what they are thinking, simply because they see the world differently.
But, to make an impact at large organizations, itâs all about stakeholder management, communication, and your ability to deconstruct complex topics.
Itâs not about the code you used.
No one at the top level will care about that.
Itâs the soft skills you need to focus on: your ability to influence and tell compelling stories.
It sounds simple, yet most people really struggle with it.
That's why being great at it will make you stand out and succeed.
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If youâre looking for help with your Data Projects, this is for you âŚ
Past performance does not guarantee equal results in the future.
When giving recommendations to a business, make sure you are supported by:
1. The right data
2. The right metrics
3. The right context
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đ Hey there, my name is Mo Chen. I'm a Data & Analytics Manager / Content Creator. I make content that will help you build your long-lasting, successful data career. I teach only applicable data skills that you can implement immediately in real-life scenarios to get your next job, progress in your current role or enhance your professional growth.
If you have an offer, opportunity, or introduction that might make my life more interesting, EMAIL ME at enquiries@mochen.info. Please note that I'll ONLY RESPOND to those proposals that are a good match for my schedule and interests.