Spot_On

[Victor @Vii_boy2]

I hope Jesus doesn't see this 😩😂

[3Music TV @3musicnetworks]

🚨🚀: A random day to enjoy @KingPalutaMusic’s FOR THE POPPING because this song never misses!🔥

#3MusicTV

[Annie🦋 @DabereNnamani]

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.

[Fitness Hub @FitHubHQ_]

Every man should do this Kegel training to improve blood flow, achieve stronger and harder erections, and strengthen the pelvic muscles.

[Prince Fynn @Prince_Fynnd]

All Men should practice this Kegel exercise before sleeping for muscular banana, improve strength and stamina.

[Fitness Freak @fitdaddy_]

5 Kegel exercises to strengthen your pelvic floor muscles

[Spot_On @Spot_On88]

@setu_ai_expert Send

[Setu @setu_ai_expert]

Excel is difficult to learn, but not anymore!

Introducing "The Ultimate Excel ebook "PDF.

You will get:

• 74+ pages cheatsheet
• Save 100+ hours on research

And for 48 hrs, it's 100% FREE!

To get it, just:

1. Like & Retweet
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3. Follow
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[DsL_a ʚїɞ ® @_DeejustDee]

Phishing Prevention Certification 100% FREE

Today you can access the Certified Phishing Prevention Specialist (CPPS) program at no cost, focused on one of the most critical skills in cybersecurity.

If you work in Cybersecurity, IT, SOC, Risk, Compliance, or handle sensitive data, this is a certificate you should add to your list.

What’s included (FREE):
✅ Certified Phishing Prevention Specialist (CPPS)
✅ Practical, beginner-friendly training
✅ Lifetime validity
✅ Limited free coupons
You’ll learn:
• How phishing attacks really work
• Social engineering techniques
• Detection & prevention best practices
• How to reduce human risk

🎯 Why it matters:
Phishing is still the #1 entry point for cyberattacks worldwide.

Most breaches happen due to human error not technical failure.

https://t.co/2dnAja0Oxk

Coupon code: phishing-100

[Gabby @thenaijacarguy]

I recently came upon a Data Analytics Course which covers all you need to become a good Data Analyst. You will learn SQL, Power BI, Python, data visualization and analysis with Excel, earn certificates, and get hands-on experience.

[Splendor of SQL 🇬🇧🇩🇪💖 @iam_Uchenna]

Free Courses from top companies 🤓

AI (Microsoft) -
https://t.co/Eu3Eidfr7u

Deep learning (NVIDIA) -
https://t.co/WbegoZWp86

Data science (IBM) -
https://t.co/whJnJvAACp

Data Analyst (Microsoft) -
https://t.co/rdhMVOCRFx

Python (Microsoft) -
https://t.co/zP2ubxNnyi

[Abraham Okah(info hub) @AbrahamOkah2]

IBM Offering a List of FREE Courses with Certificates in 2025.

Here are 20 of them:

1. IBM Project Manager.
https://t.co/sbBIoidMK7
2. IBM IT Scrum Master.
https://t.co/lV5jDLCsQW
3. IBM Data Analyst.
https://t.co/yRmPK23b98
4. IBM Data Analytics with Excel and R.
https://t.co/0b28yYCcLY
5. IBM Data Science
https://t.co/iKbwm7Pkr1
6. IBM Data Engineering.
https://t.co/yjpM3nd9n5
7. IBM AI Engineering.
https://t.co/zxq17y0l0c
8. IBM Cybersecurity Analyst
https://t.co/OkviEOVzma
9. IBM Full Stack Software Developer.
https://t.co/1bP4Ybceun
10. IBM DevOps and Software Engineering
https://t.co/2v6AUfhE4G
11. IBM AI Engineering.
https://t.co/aBkOjwU5Ue
12. IBM Technical Support.
https://t.co/FSoQ3H0pSt
13. IBM Machine Learning
https://t.co/oCHAaY4d8P
14. Meta Database Engineer
https://t.co/Ny7WaIPORp
15. Meta Social Media Marketing.
https://t.co/DD8faEAn6k
16. Meta Front-End Developer.
https://t.co/OcIKqqItMX
17. Meta Marketing Analytics
https://t.co/AaR0TBVsEQ
18. Meta Back-End Developer
https://t.co/bWSNRFfCa6
19. Microsoft Power BI Analyst
https://t.co/GdxKiLk6eh
20. Microsoft Cybersecurity Analyst
https://t.co/cQWoG75R6m

[Abraham Okah(info hub) @AbrahamOkah2]

Looking to get Started in Tech?
Here are 18 FREE Tech courses with Certificates 👇🏽

1. Cyber Security:
https://t.co/apPbQEVv7h
2. Web Development:
https://t.co/ZV1f07zHZE
3. Data Science:
https://t.co/W1CMbFvnqG
4. CS50 from Harvard:
https://t.co/pHmBbWs4wg
5. IBM Data Science:
https://t.co/GPQ8MpTPCs
6. Python:
https://t.co/zupOVPofq6
7. HTML, CSS, JavaScript:
https://t.co/STeLz3n8LK
8. SQL: https://t.co/TtsPAameZV
9. Java:
https://t.co/voBeaWInX4
10. C/C++:
https://t.co/qANmsaOsem
11. DSA:
https://t.co/mXbvEWjLeI
12. Linux:
https://t.co/roPhEv42Ns
13. Machine Learning:
https://t.co/x4AC5rqBow
14. Networking:
https://t.co/w7tIXDvwXO
15. Software Engineering:
https://t.co/2lyJSpJo9J
16. Computer Architecture:
https://t.co/9oJHkYqmJm
17. GitHub:
https://t.co/UYW8FtO5VV
18. DSA Problem Solving for Interviews using Java:
https://t.co/t6rdkH8oo1

[KALYJAY @gyaigyimii]

Fill this forms if you could not address the Minister For Finance on the Budget reading. Send your questions here and rt #KalyJaySpace

https://t.co/mkdRBHOWCL

[Wittig Lyon @ibn_wittig]

Learn Data Analysis For Free in 2025:

1. Introduction to Data Analytics
https://t.co/gKywuM5IGT

2. Excel
https://t.co/145J11coUV

3. SQL
https://t.co/qZs5wU4NFg

4. PowerBI
https://t.co/LvtnGBiSWt

5. Tableau
https://t.co/pNaVBloOit

6. Python
https://t.co/8w0av0OOar

[D-Coder @Damn_coder]

10 AI tools to finish a day’s work in just 1 hour:

[CheatSheets @The_CheatSheets]

Get Data From Picture in Excel App‼️ #excel

[Eyo Eyo, PhD @Eyowhite3]

These are Power BI projects for beginners:

⬇️