vølt⚡️

using this platform for inveesible notes.

[Victoria Enebeli 🙂‍↔️ @iamveektoria_]

AI Automation full course.

https://t.co/6Jhsq8b4OI

18 days of practical learning.

[𝑙𝑦𝑟𝑎 @naturehealyou]

some people are born to like this feeling

[𝘢𝘦𝘴𝘵𝘩𝘦𝘵𝘪𝘤 𝘷𝘪𝘴𝘶𝘢𝘭𝘴 •°. *࿐ @aestheticwabi]

serenity

[Art of Life 🦋 @Art0fLife_]

Listen to her carefully...

[J.A Olaoye @JA_Olaoye]

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.

[Alex Freberg @Alex_TheAnalyst]

I have over 400+ videos on Data Analytics - that's too many for one person to watch.

Here are the top 5 that I would watch:
1. How to Become a Data Analyst - https://t.co/Jc5LoNCUaj
2. Complete FREE Data Analyst Bootcamp -  https://t.co/2SjI9iVxr5
3. Learn Power BI in Under 3 Hours - https://t.co/CqE1ZqKUdC
4. Top 5 Reasons NOT to Become a Data Analyst - https://t.co/AYutUC6HkH
5. Learn SQL in 4 Hours - https://t.co/MTnjvTF7zw
Some of these videos are ones I made over 5 years ago, but they still hold true today.

[vølt⚡️ @angvoltaire]

@gudanglifehack Vba

[Forge Physique @ForgePhysique]

All You Need Is One Kettlebell

[Yasir Ai @AiwithYasir]

🚨 MRBEAST JUST DROPPED THE EXACT BLUEPRINT TO HIT MILLIONS OF SUBS IN 6 MONTHS

No fluff. Straight fire:

>> Your first 100 videos are gonna suck… upload them anyway!

>> Every time you think “algorithm,” replace it with “audience”

>> Titles under 50 characters — make them as wild and extreme as possible

>> The first 5 seconds matter more than your thumbnail

>> Drop 1 absolute banger a month instead of 4 average videos a week

Save this. Bookmark it.

When you’ve got 18 minutes, watch the full thing like your future depends on it… because it does.
Then go make real money 👇

[WAM AI @wam_ai_tech]

Delete 99.87% of your digital footprint from the internet.

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[vølt⚡️ @angvoltaire]

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[ABS-CBN News @ABSCBNNews]

UPDATE: Acting Senate President Sherwin Gatchalian says he will preside over the impeachment trial of Vice President Sara Duterte. #VPSaraOnTrial | via @RG_Cruz12479

[elune @elune0x]

claude opus 4.8 is here and anthropic's finance lecture suddenly matters a lot more

1 free hour

claude for finance
quant workflows
research
models
market data
analysis

not a $500 course

the team building claude shows how to use it where mistakes actually cost money

most people use ai to summarize tweets

this shows how it starts fitting into real finance work

watch it today
bookmark it before it disappears in your feed

[AilaunchX @Ai_Tech_tool]

Anthropic just showed a 24-minute workshop on how to actually prompt Claude.

Taught by the people who built it.

Free. No signup. No paywall.

I've watched $300 courses that don't cover what they teach in the first 8 minutes.

[Tips Excel @gudanglifehack]

🚀 Data Analyst Project Series – Part 2

HR Analytics Dashboard Project

🎯 Project Goal
The goal of this project is to analyze employee data and create an HR Analytics Dashboard that helps companies understand:
- Employee attrition
- Employee performance
- Department-wise analysis
- Salary trends
- Employee satisfaction
- Hiring and retention insights

This is one of the most popular real-world Data Analyst projects because every company tracks employee performance and retention.

🛠 STEP 1: Choose an HR Dataset

*Recommended Datasets*
Search on Kaggle:
- HR Analytics Dataset
- Employee Attrition Dataset
- IBM HR Analytics Dataset

📂 STEP 2: Understand the Dataset

Common Columns in HR Data
Column Name: Employee ID
Meaning: Unique employee number

Column Name: Age
Meaning: Employee age

Column Name: Gender
Meaning: Male/Female

Column Name: Department
Meaning: Department name

Column Name: Job Role
Meaning: Employee role

Column Name: Salary
Meaning: Employee salary

Column Name: Attrition
Meaning: Employee left or not

Column Name: Years at Company
Meaning: Work experience

Column Name: Satisfaction Score
Meaning: Employee satisfaction

Column Name: Performance Rating
Meaning: Employee performance

🧹 STEP 3: Data Cleaning
HR data usually contains:
- Missing values
- Duplicate employees
- Incorrect salary formats
- Inconsistent department names

✔ Cleaning Tasks

Remove Duplicate Employees
Example:
Same Employee ID appearing multiple times.

Handle Missing Values
Check:
- Missing salary
- Missing department
- Empty performance ratings

Standardize Text
Example:
- “Human Resources”
- “HR”
- “human resources”

Convert all into one standard format.

*Correct Data Types*
Examples:
- Salary → Number
- Joining Date → Date
- Attrition → Yes/No

📊 STEP 4: Define HR KPIs
KPIs are very important in HR Analytics.

Essential KPIs

✔ Total Employees
COUNT(Employee_ID)

✔ Attrition Count
COUNT(CASE WHEN Attrition = 'Yes' THEN 1 END)

✔ Attrition Rate
(Employees_Left / Total_Employees) * 100

Purpose:
Measures employee turnover.

✔ Average Salary
AVG(Salary)

✔ Average Satisfaction Score
AVG(Satisfaction_Score)

🗄 STEP 5: HR Data Analysis Using SQL
Now start analyzing the HR data.

📌 SQL Query Examples

1. Attrition by Department
SELECT Department,
COUNT(*) AS Employees_Left
FROM HR_Data
WHERE Attrition = 'Yes'
GROUP BY Department
ORDER BY Employees_Left DESC;

2. Average Salary by Job Role
SELECT Job_Role,
AVG(Salary) AS Avg_Salary
FROM HR_Data
GROUP BY Job_Role
ORDER BY Avg_Salary DESC;

3. Employee Count by Gender
SELECT Gender,
COUNT(*) AS Employee_Count
FROM HR_Data
GROUP BY Gender;

(Save this for later).

[Ruben Hassid @rubenhassid]

How to make Excel in Claude Cowork in just 7 mins:

(even if you signed up for Claude yesterday)

1. Download Claude at claude .com/download.
2. Get a Pro account ($20/month). Worth it.
3. Open the app → click the "Cowork" tab.
4. Select a folder from your computer.
5. Pick "Opus 4.7" + "Adaptive thinking."
6. Click '+' → Connectors → connect Google Drive.
7. Paste this prompt template:
(from this guide: https://t.co/ZgmUFXdyy4)

"Create an Excel spreadsheet from: [DATA].
Purpose: [who uses it, what decision it supports - 1 sentence].
Sheets needed: [name + columns + formulas for each].
Formatting: [currency, dates, frozen rows, totals].
Before building, list your top 10 assumptions so I can sanity-check them, then execute."

8. The magic is in the last line.
✦ Cowork stops and shows its logic.
✦ Correct anything off, or say "build it now."
✦ You control the AI, not the other way around.

9. Let Cowork build for ~7 minutes.
✦ Watch tabs, formulas, dashboards populate.
✦ Don't touch anything until it finishes.
✦ Result: 6 tabs, 700+ working formulas, 1 prompt.

10. Click "Google Drive" inside Cowork.
✦ The file opens instantly in Google Sheets.
✦ All tabs, formulas, formatting carry over.
✦ Easier to use & share than Excel.

11. Stay inside Cowork for any big change:
✦ "Make the Bull scenario more optimistic."
✦ "Add a Dashboard tab with KPI tiles."
✦ "Add conditional formatting on margin %."

What Cowork still can't do (yet):
✗ No macros or VBA.
✗ No live database connections.
✗ Not for final client deliverables without review.

Pro tip: the prompt is 80% of the result.
Always force the "10 assumptions" check first.
Now you know what to do first.

7 mins setup to build what used to cost $5,000.

Full breakdown (for free): https://t.co/ZgmUFXdyy4

[CyrilXBT @cyrilXBT]

Stop sleeping on AI

Obsidian + Claude Code = your own JARVIS.

Takes 1 hour to build.

Most people will scroll past this and stay unproductive.

The ones who stop and build it will never work the same way again.

[Khusboo Tayal @KhusbooT14835]

Learn AI for free directly from top companies

𝟭 - 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰:
https://t.co/AzjSWA5mtP

𝟮 - 𝗚𝗼𝗼𝗴𝗹𝗲:
https://t.co/RjJuqyr1LZ

𝟯 - 𝗠𝗲𝘁𝗮:
https://t.co/0yFWyeojlO

𝟰 - 𝗡𝗩𝗜𝗗𝗜𝗔:
https://t.co/pAMm0PokME

𝟱 - 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁:
https://t.co/OYdcDQgIAK

𝟲 - 𝗢𝗽𝗲𝗻𝗔𝗜:
https://t.co/aPEiMUm6dX

𝟳 - 𝗜𝗕𝗠:
https://t.co/CqopfplSZh

𝟴 - 𝗔𝗪𝗦:
https://t.co/80K7JAk61J

𝟵 - 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝗔𝗜:
https://t.co/6ikbH9lj3i

𝟭𝟬 - 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲:
https://t.co/J2EcHggA1A

❤️ Like
🔁 Retweet
🔖 Bookmark
💬Comment - "AI"

Follow @KhusbooT14835 for more AI Posts

#AI #ArtificialIntelligence #AISkills #AIAgents #RAG #LLM #PromptEngineering

[Prime AI @primemans]

Instead of watching a tutorial video and forgetting 80% of it after just two days…
NotebookLM turns it into a personalized learning system built around you.

All you need is a YouTube link and the right prompt.

Here are 5 powerful prompts I’ve personally used — and the results are seriously impressive. Save them for later 👇