Paul Edem

Learning Data Analysis daily 📊 | Sharing my learning journey here #DataAnalysis

[Paul Edem @PaulEdem111]

I'll be starting a 90-day, daily challenge on Data Analysis.

#DataAnalysis

[Cynthia Ozumba @CynthiaOzumba]

If you are Applying for a job you are underqualified for...

Here’s a breakdown of how to shoot your shot and land the role anyway. 👇

[Zakaru @crypto_Aaallb]

This is exactly what I meant when I said “as a graduate, you shouldn’t be unemployed.”

These are LEGIT & ACTIVE NGO websites where graduates can apply directly no agents, no referrals, no stories.

1. UN Volunteers (UNV)
https://t.co/tqiPj9N1vu

Remote & on-site roles for graduates in admin, research, project & community support.

2. ReliefWeb (by OCHA)
https://t.co/gux5afSTmC

Daily updated NGO and humanitarian jobs worldwide.

3. Idealist
https://t.co/Cx16yr948r

NGO, nonprofit jobs + internships (great for fresh grads).

4.Devex
https://t.co/2u08C4l4j2
Global development roles many people don’t even know exist.

5. NGO Jobs Board
https://t.co/ms47R1gL2f

Straightforward NGO opportunities across different countries.

If you’re a graduate waiting at home thinking “where are the jobs?”,
this is literally where many people are getting hired from.

Bookmark this. Share it and apply.

More opportunities coming ✨

Don't forget to follow me and turn on my notification.

[Adelomo || Your Dearest HR✨ @YourDearestHR]

Hi Stephee

1. Data Analysis (No-Code / Low-Code Tools)
Tools to learn:
• Microsoft Excel (advanced formulas, Pivot Tables)
• Google Sheets
• Power BI or Tableau (visual dashboards)

What you can do:
• Analyze business performance
•.Create dashboards
• Support HR, finance, and operations decisions

Entry roles:
Data Analyst (Junior), Reporting Analyst, HR Analyst

2. UI/UX Design
Tools to learn:
• Figma
• Adobe XD
• Canva (for beginners)

What you can do:
• Design mobile apps and websites
• Improve user experience
• Create prototypes

Entry roles:
UI Designer, UX Designer, Product Designer

3. Product Management
Tools to learn:
• Notion
• Jira
• Trello
• Google Docs

What you can do:
• Define product features
• Work with developers and designers
• Manage product strategy

Entry roles:
Associate Product Manager, Product Analyst

4. Digital Marketing
Areas to focus on:
• Social media management
• SEO (Search Engine Optimization)
• Email marketing
• Content marketing

Tools to learn:
• Google Analytics
• Meta Business Suite
• Mailchimp
• Canva

Entry roles:
Digital Marketer, Social Media Manager, SEO Specialist

5. Cybersecurity (Entry-Level / Non-Technical Path)
Tools / Areas:
• Security awareness
• Risk assessment
• Identity and access management
• Security monitoring tools

Entry roles:
Security Analyst (Entry), IT Support, Risk Analyst
Certifications help a lot here (e.g., Google Cybersecurity Certificate).

6. Technical Writing
What you can do:
• Write user guides
• Create documentation
• Write help center articles

Tools to learn:
• Google Docs
• Notion
• Markdown (optional, very easy)

Entry roles:
Technical Writer, Documentation Specialist

[Paul Edem @PaulEdem111]

@Alota_t_great @YOM_Official @UnitFlowFinance gm bruh

[Ezekiel @ezekiel_aleke]

Excel + SQL + Power BI = Data Analytics

Excel + Financial Modeling = Financial Analysis

Excel + Dashboarding = Business Intelligence

Excel + A/B Testing + KPI Tracking = Product Analytics

Excel + Google Analytics + Reporting = Marketing Analytics

Excel + Sales Data + Forecasting = Sales Analysis

Excel + HR Metrics + Workforce Planning = HR Analytics

Excel + Risk Modeling + Scenario Analysis = Risk Analysis

Excel + Investment Analysis + Valuation = Investment Analysis

Excel + CRM Data + Performance Tracking = Customer Analytics

Excel + Project Tracking + Resource Allocation = Project Management

Excel can literally make you rich

[Paul Edem @PaulEdem111]

@Olumi_dave what lessons did you learn from the interview, sir ?

[Paul Edem @PaulEdem111]

@ekanemjr_99 Great and insightful content
Let's connect, please.

[EKANEM 📊💹📉 @ekanemjr_99]

New to Data Analysis?
This introduction covers what data analysis is, why it matters, and how it helps businesses make smarter decisions.
This is perfect for beginners and aspiring analysts.
🧵👇

[Paul Edem @PaulEdem111]

@Alota_t_great @Polymarket @NBA @YOM_Official @UnitFlowFinance gm, poly whale

[Paul Edem @PaulEdem111]

@Alota_t_great @YOM_Official @UnitFlowFinance gm diddy

[Paul Edem @PaulEdem111]

Today is day 44 of my learning journey. I have been learning consistently, even though I haven't been actively updating my progress here. That'll change today.

It's been a fun experience so far, learning Statistics for Data Analysis and Microsoft Excel.

Started SQL already 🫡

[Paul Edem @PaulEdem111]

Day 1 of my 90-Day Data Analysis Learning Journey. ✅️

I'll divide today's lesson into 2 parts because of its bulky nature.

Here goes the first part 🧵

[Paul Edem @PaulEdem111]

Good morning, #datafam.

[Paul Edem @PaulEdem111]

consistency
grit
perseverance
war

God help me

[Paul Edem @PaulEdem111]

doing so many things at once is really not healthy

you spend time on many things, but end up doing nothing

rank your priorities!!!

[Paul Edem @PaulEdem111]

@Calcufastofoou great profile, Sir
can we connect, please ?

[Paul Edem @PaulEdem111]

@mosesmaryy @TDataImmersed @DanielTomi11 @DabereNnamani great stuff
really interesting visuals also
let's connect please

[Paul Edem @PaulEdem111]

@Alota_t_great Thanks dad 🫡

[Paul Edem @PaulEdem111]

I just did my first ever Data Analysis project. 📊❤️

[Annie🦋 @DabereNnamani]

Why Learning only Data Analytics tools is useless.

Knowing SQL, Python, or dashboards is like knowing how to use a calculator.
If you don’t know what question to calculate, the tool doesn’t matter.

One of the most important things to learn as a Data Analyst is Defining or understanding business problem.

The simple way to define a business problem
Ask these 5 basic questions:

1. What decision needs to be made?
Example:
•Who should we give discounts to?
•Which product should we stop selling?
•Where are we losing money?
If there’s no decision, stop here.

2. Who is making that decision?
There must be one person who will act on the result.
If the answer is:
•“The team”
•“Management”
•“We’ll see”
Then the analysis probably won’t be used.

3. What does “success” mean in numbers?
Turn ideas into something you can measure.
Examples:
•More sales → “Increase sales by 5%”
•Fewer customers leaving → “Reduce churn”
•Faster delivery → “Reduce delivery time”
If you can’t measure it, you can’t improve it.

4. By when?
Every problem needs a time limit.
Examples:
•This month
•Next 30 days
•This quarter
Without time, the problem never ends.

5. What will we do with the answer?
Finish this sentence:
“If the data shows X, we will do Y.”
If you can’t finish that sentence, the problem isn’t clear yet.

Simple example
❌ Bad problem:
“Look at customer data.”

✅ Good problem:
“Which customers are likely to leave in the next 30 days so we can offer them discounts and keep them?”

Why it’s good:
•Clear question
•Clear action
•Clear time frame

One sentence rule (easy to remember)

A good business problem answers:
Who needs to decide what, using data, by when, and for what action?

If you can answer that, you’re ready to use the tools.

[Paul Edem @PaulEdem111]

My first Dashboard Project ❤️📊