25th May |🤖AI Free Udemy Coupons Added
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#01 TensorFlow: Basic to Advanced - 100 Projects in 100 Days
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#02 DeepSeek R1 & ChatGPT: How to Supercharge AI with 20+ Tools
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#03 AI Essentials: Introduction to Artificial Intelligence
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#04 AI Agents for Everyone and Artificial Intelligence Bootcamp
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#05 Introducing MLOps: From Model Development to Deployment (AI)
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#06 AI Development with Qwen 2.5 & Ollama: Build AI Apps Locally
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#07 Algorithm Alchemy: Unlocking the Secrets of Machine Learning
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#08 Mastering DeepScaleR: Build & Deploy AI Models with Ollama
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#09 Ethical AI and Its Implications for Modern Business 2.0
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📊 Market Overview:

BTC : $107500
ETH : $2515.14
BNB : $664.33
SOL : $172.48

📈 Market Cap :

Total : 3.49T
DeFi : 109.25B
24hr Vol : 84.81B

⚡️ Sentiment :

FGI : Greed (74)
Open Interest : 75.86B
24h Liquidation : $209.7M

🔆 t.me/techpsyche

AGI is a done deal.

Remote AI Research Intern Job at Sentient

Required:
* Experience in Gen AI research or engineering
* Expert in deep learning & transformer models
* Mastery of Python & agentic frameworks
* DSA foundation & software engineering principles
* Familiarity with methods of training LLMs

Apply Here:
https://kenyatrends.co.ke/sdg3

Global Tech Jobs Here👇
https://t.me/techpsyche

SHARE WITH YOUR FRIENDS🥳🥳

Operator is now powered by o3.

🔆 t.me/techpsyche

Budget like a Boss

⚡️ t.me/cryptostract

#money #growth

The A to Z Guide for Data Mastery Best Practices for Analysts and Scientists

A - Always check your assumptions
B - Backup your data
C - Check your code

D - Do you know your data?
E - Evaluate your results
F - Find the anomalies

G - Get help when you need it
H - Have a backup plan
I - Investigate your outliers

J - Justify your methods
K - Keep your data clean
L - Let your data tell a story

M - Make your visualizations impactful
N - No one knows everything
O - Outline your analysis

P - Practice good documentation
Q - Quality control is key
R - Review your work

S - Stay organized
T - Test your assumptions
U - Use the right tools

V - Verify your results
W - Write clear and concise reports
X - Xamine for gaps in data

Y - Yield to the evidence
Z - Zero in on your findings

If you can master the ABCs of data analysis, you will be well on your way to being a successful Data Analyst.

Here are Top-notch Data Analytics Resources 👇👇
https://t.me/datascienceresourcestp

Hope this helps you 😊

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React One-Liners Every UI Developer Should Know

Thread Here: https://t.me/javascriptresourcestp/506

What is FOMO?

Fear of Missing Out (FOMO) is the fear of missing an opportunity, often experienced by traders and investors in the cryptocurrency market.

This term describes the psychological pressure when a person sees asset prices rising and fears missing out on a profit if they don't enter the market.

How does FOMO manifest in cryptocurrency?

🔵 Impulsive buying: When the price of a cryptocurrency is rapidly increasing, people may rush to buy assets, fearing that they will continue to rise and they will miss their opportunity.

🔵 Unplanned decisions: Under the influence of FOMO, investors may ignore their initial strategies and invest in assets without proper analysis, increasing the risk of losses.

🔵 Social pressure: The influence of social media and forums, where "missed" opportunities are discussed, can push people towards rash actions.

Types of Stablecoins: https://t.me/cryptostract/5

Difference Between USDT and USDC: https://t.me/cryptostract/6

Swing Trading: https://t.me/cryptostract/7

Telegram Channel:
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#crypto #web3 #blockchain #finance #stocks

KENYA🇰🇪UGANDA🇺🇬TANZANIA🇹🇿

The Standard Chartered Women in Cyber Security Program 2025 for Young East African Women

Application Deadline: June 30, 2025

Eligibility Requirements
* A woman residing in East Africa (Kenya, Uganda, and Tanzania)
* Minimum 2-3 years of junior-level experience in any other field and seeking entry into cybersecurity
* Proficient in English (all sessions will be conducted in English)
* Access to a computer and stable internet connection
* Ability to commit to the 4-month mentorship program

Apply Here:
https://kenyatrends.co.ke/phqb

How to start your career in data analysis for freshers👇

1. Learn the Basics: Begin with understanding the fundamental concepts of statistics, mathematics, and programming languages like Python or R.

Free Resources: https://t.me/pythonresourcestp/100

2. Acquire Technical Skills: Develop proficiency in data analysis tools such as Excel, SQL, and data visualization tools like Tableau or Power BI.

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3. Gain Knowledge in Statistics: A solid foundation in statistical concepts is crucial for data analysis. Learn about probability, hypothesis testing, and regression analysis.
Free course by Khan Academy will help you to enhance these skills.

4. Programming Proficiency: Enhance your programming skills, especially in languages commonly used in data analysis like Python or R. Familiarity with libraries such as Pandas and NumPy in Python is beneficial. Kaggle has amazing content to learn these skills.

5. Data Cleaning and Preprocessing: Understand the importance of cleaning and preprocessing data. Learn techniques to handle missing values, outliers, and transform data for analysis.

6. Database Knowledge: Acquire knowledge about databases and SQL for efficient data retrieval and manipulation.
SQL for data analytics: https://t.me/sqlresourcestp

7. Data Visualization: Master the art of presenting insights through visualizations. Learn tools like Matplotlib, Seaborn, or ggplot2 for creating meaningful charts and graphs. If you are from non-technical background, learn Tableau or Power BI.
FREE Resources to learn data visualization: https://tinyurl.com/2b76wzud

8. Machine Learning Basics: Familiarize yourself with basic machine learning concepts. This knowledge can be beneficial for advanced analytics tasks.
ML Basics: https://t.me/mlresourcestp/72

9. Build a Portfolio: Work on projects that showcase your skills. This could be personal projects, contributions to open-source projects, or challenges from platforms like Kaggle.
Data Analytics Portfolio Projects: https://t.me/dataanalysisresourcestp/33

10. Networking and Continuous Learning: Engage with the data science community, attend meetups, webinars, and conferences. Build your strong Linkedin profile and enhance your network.

11. Apply for Internships or Entry-Level Positions: Gain practical experience by applying for internships or entry-level positions in data analysis. Real-world projects contribute significantly to your learning.
Data Analyst Jobs & Internship opportunities: https://t.me/techpsyche

12. Effective Communication: Develop strong communication skills. Being able to convey your findings and insights in a clear and understandable manner is crucial.

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Tableau Learning Plan
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Data Analyst Checklist
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Hope it helps :)

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25 TECH TRENDS IN 2025

🔆 t.me/techpsyche

✔️ Last week's crypto market highlights

⚫️ Blum co-founder Smerkis arrested in Moscow on fraud charges
⚫️ Russia drafts bill to seize digital currency in crimes
⚫️ Strategy acquires 7,390 BTC for $764.9m
⚫️ Argentina shuts down LIBRA memecoin investigation unit
⚫️ Societe Generale to launch USD-pegged stablecoin on Ethereum
⚫️ South Korea lifts crypto investment ban in June
⚫️ Bitcoin hits new all-time high surpassing $110,000
⚫️ Kraken to offer tokenized stocks and ETFs
⚫️ Cetus loses $220m in smart contract exploit
⚫️ Trump recommends 50% tariff on EU goods

⚡️ t.me/cryptostract

Data Analytics Skills

Remote Data Analyst Job - Binance Accelerator Program

Who may apply?
- Current university students and recent graduates

Apply Here:
https://kenyatrends.co.ke/ri5q

Global Tech Jobs Here👇
https://t.me/techpsyche

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LLM's for the Messy Middle tasks.

This is a problem when people make 6 figures.

They ape into supercars and fancy stuff.

When they could have aped into investments and become decamillionaires.

Super short sighted.

⚡️ t.me/cryptostract