Quick win:
In Excel, create a clean table → Save as .xlsx → Open in Power BI → Click “Get Data” → Excel workbook.
You just built the foundation of a dashboard without writing a single DAX formula.
Start simple.
Complexity comes later.
#PowerBI#ExcelTips#DataAnalysis
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A quick one
Go to https://t.co/cE5j0tlimD, then enter your skills (be as specific as possible), and filter your search to “worldwide”
https://t.co/1uzJArcvp3 will show you companies that are hiring globally, Iseyin or Ikire
Now, don’t apply on https://t.co/cE5j0tlimD (although some jobs required you to apply directly) but a more effective method is to look up the companies on LinkedIn and connect with their decision makers
- download Apollo extension and add it to your chrome. It’s free if you create an account with a domain name
- a close alternative is contactout
These two extensions will extract the contact details of the decision makers and you can sell your services to them
The above and other proven ways are summarized here https://t.co/MYIxqgwasf
A while ago, I came across a post where an experienced data analyst shared some of the ChatGPT prompts they use to speed up their workflow.
I saved a few, tried them while learning and they genuinely made things easier
So I decided to put together my favorites in one place.
Here are 30 ChatGPT prompts that can save analysts hours every week. 👇
You have learned Excel, SQL, Power BI: congratulations.
Practice here for free:
EXCEL: https://t.co/Fy8XuxqvkL
SQL: https://t.co/Zb4bqPqecU
Power BI: https://t.co/sDvIW6ls3z
Keep learning.
Instead of telling Claude, "write code." To build your portfolio website,
Here is a good prompt you can give to it to help you create one:
Portfolio prompt
Create a modern, responsive personal portfolio website for a data analyst/data scientist.
## INPUT DATA
I will provide:
1. My CV (extract name, bio, skills, experience, education, tools, and achievements from it)
2. Three Medium article links: ( depending on where you have your projects, list them and inserts the links)
## GOAL
Build a clean, professional portfolio website that highlights my analytical skills, storytelling ability, and real-world project impact. The website should be optimized for recruiters, hiring managers, and collaborators.
## DESIGN STYLE
- Minimalist, modern, and elegant
- Use a tech/data aesthetic (subtle grids, charts, or abstract data visuals)
- Color palette: dark mode or soft neutral tones with one accent color
- Typography: clean sans-serif (professional and readable)
- Smooth scrolling and subtle animations (fade-ins, hover effects)
## WEBSITE STRUCTURE
### 1. HERO SECTION
- My name
- Title (e.g., Data Analyst | Data Scientist | Business Intelligence Analyst)
- Short 1–2 sentence value proposition (derived from CV)
- CTA buttons:
- "View Projects"
- "Download CV"
### 2. ABOUT SECTION
- Short professional summary (from CV)
- Key strengths (data storytelling, analytics, visualization, etc.)
- Tools & technologies (icons preferred: Python, SQL, Power BI, Excel, etc.)
### 3. PROJECTS SECTION (MAIN FOCUS)
Create 3 project cards, each with:
- Project title
- Short summary (problem → approach → insight)
- Key tools used
- 1–2 key insights or outcomes
- Button: "Read Full Case Study" (links to Medium article)
Projects:
(List your projects)
Each project should look like a case study preview, not just a link.
### 4. EXPERIENCE / SKILLS SECTION
- Extract from CV
- Highlight measurable impact where possible
- Include both technical and analytical skills
### 5. CV SECTION
- Provide a downloadable CV button
- Optionally show a short preview
### 6. CONTACT SECTION
- Email
- LinkedIn
- Medium profile
- Optional: GitHub
## FUNCTIONAL REQUIREMENTS
- Fully responsive (mobile, tablet, desktop)
- Fast loading
- Clean navigation (sticky navbar)
- Accessible (good contrast, readable text)
## OUTPUT FORMAT
- Generate complete HTML, CSS, and optional JavaScript
- Code should be clean, well-structured, and ready to deploy
- Use semantic HTML
- Include comments for easy customization
## OPTIONAL ENHANCEMENTS
- Add a “Featured Insight” highlight from one project
- Add subtle data visual elements (charts/graphs style design)
- Add hover animations on project cards
## IMPORTANT
- Do NOT use placeholder lorem ipsum
- Use actual content extracted from my CV
- Make the tone professional, confident, and results-oriented
- Prioritize clarity and storytelling over decoration
I landed my first Data Analyst role 4 months after I started learning.
I didn't apply for the role. They found me.
And it wasn't because I was a genius. It was because of one specific habit I started in the first month.
Here is the mistake most beginners make:
If you’re a Data Analyst, looking for experience to add to your CV,
Here are 10 platforms where you can volunteer or intern in data analytics, all with relatively straightforward application processes:
VOLUNTEER PLATFORMS
1. DataKind (https://t.co/gie9SGxUJW)
You create a profile on https://t.co/EM799aAPkL, add your data skills and experience, and get considered for projects as they arise. Volunteers can work remotely from anywhere in the world.  Great for applying real-world analytical skills to social impact causes.
2. Catchafire (https://t.co/poQyscJO23)
You can volunteer in various ways ranging from a short 1-hour phone call to a 3-month scoped project, working remotely. Skills like data analysis, digital marketing, and IT can be offered to nonprofits.  One of the easiest sign-up processes out there.
3. Taproot Foundation (https://t.co/8lbd9YZF4u)
Taproot acts as a middleman between social impact organizations and professionals with the right skills. People can post projects or browse available ones, and the platform connects volunteers with pro-bono consulting opportunities. 
4. Solve for Good (DSSG Solve) (https://t.co/t4786IUq1W)
It’s a platform where social good organizations post data projects they need help with, and volunteers help scope and solve those problems using data-driven methods.  Good for both beginners and intermediate analysts.
5. Omdena (https://t.co/CvR5K65KrX)
Omdena offers a collaborative environment where participants work in teams to solve real-world problems using AI and data science. You gain hands-on experience with the benefit of mentorship from experts, and a certificate is provided at the end. 
INTERNSHIP PLATFORMS
6. Internshala (https://t.co/7WURbdjNYK)
Internshala offers various remote data science internships with startups and companies. While some roles are unpaid, they provide a great learning experience with hands-on projects, and a certificate is awarded for most positions.  Very popular and beginner-friendly.
7. The Sparks Foundation (https://t.co/E1Hbjgt3L1)
A widely known virtual internship program in data analytics and data science that’s easy to apply for. Projects are self-paced and you earn a certificate upon completion great for portfolio building.
8. Extern (https://t.co/26BFE2eZGD)
Extern offers externships specifically designed for those with zero experience, with real-world impact opportunities and resources like resume templates and direct application links. 
9. https://t.co/dKMWchVWPQ / GitHub Internship Repo (https://t.co/2hgbTCTrrz)
This is a curated repository of data analysis internship opportunities updated regularly, pulling from 400,000+ positions added daily and matching them to your skills and experience.  Low friction, you browse and apply directly.
10. Idealist (https://t.co/UCZ0ZiAZFa)
Idealist is listed among platforms where you can find jobs and volunteer roles in social-change organizations.  It frequently lists data-related volunteer and intern roles with nonprofits globally, and applying is as simple as submitting a profile.