TechiesVerse

Learn Python for data Science properly!

@Taniyatweets_ 🤝

@TechiesVerse Clean explanation

🐍 Python Day 8 🔄 Loops Loops help Python repeat tasks automatically. ✅ Why learn loops? • Save time • Reduce repetition • Handle large amounts of data 🌎 Example: Need to send a welcome message to 100 users? A loop does it automatically. 💡 Think of loops as putting repetitive work on autopilot.

10 Must-Master Topics for SQL in 2026 ① Basic to Advanced Queries → SELECT, JOINs, subqueries ② Window Functions → RANK, ROW_NUMBER, running totals ③ CTEs & Temp Tables → clean, readable complex queries ④ Performance Tuning → indexes, EXPLAIN, query optimization ⑤ Aggregation → GROUP BY, HAVING, advanced grouping ⑥ Data Modeling → normalization, star schema, relationships ⑦ Analytical Functions → percentiles, moving averages ⑧ Date/Time Manipulation → intervals, time series ⑨ Common Table Expressions → recursive CTEs ⑩ Real-world Use Cases → reporting, dashboards, analytics SQL isn’t just “getting data”. It’s the backbone of every data role. Save this. Master these 10. You’ll write queries like a pro. 🐍

@Taniyatweets_ Absolutely

@TechiesVerse Strong start nailing these basics makes everything in analytics way easier later

DAY 1 of 20 Days Series of #SQL Basics for Beginners. Every data analyst starts with SQL. Before dashboards, machine learning, or business analytics, you need to know how data is stored and queried. Start with these 6 foundations and build your SQL journey the right way. Save this roadmap for later.

@_VictorUgwu Yeah sure man, I'm always up for tools that make my work smooth.

@TechiesVerse Congratulations 🎉🎉🎉 I however do have an AI SYSTEM that can help you learn faster and also helps you acquire clients. I could share it with you if you don't mind

🚀 Starting a brand-new SQL series today! Get ready to learn SQL from the ground up with practical examples, tips, and real-world use cases. Whether you're a beginner or looking to refresh your skills, this series is for you. Stay tuned and be ready to learn! 📊💡

You’re learning Python in 2026? Here’s the smarter path I’d follow 🚀 • Stop overthinking tutorials — start building • Learn Python basics → build while learning • Create small real projects every week • Automate boring tasks with scripts • Learn APIs, Flask/FastAPI & databases • Use GitHub like a developer, not storage • Deploy at least one project online • Build a portfolio before chasing certificates • Share your progress consistently • Apply before you feel “ready” Most people stay stuck watching courses. Builders get hired. 💻

Python Top Interview Questions ⤵️

🐍 Python Day 7 🛠️ String Methods String methods help you work with text faster. Examples: • 🔠 Make text UPPERCASE • 🔡 Make text lowercase • ✂️ Remove extra spaces • 🔍 Find specific words Think of them as tools for cleaning and transforming text. 💡 Small string skills save hours in real projects.

🧭 DATA SCIENCE ROADMAP (Zero → Job-Ready Data Scientist) Data Science isn’t magic. It’s a skill stack. Follow this 👇 1️⃣ Foundations • What is Data Science • Types of data • Data Science workflow Understand the big picture before tools. 2️⃣ Python Basics 🐍 • Variables & Data Types • Loops & Functions • Lists, Dictionaries, Sets Python is the language of Data Science. 3️⃣ Data Analysis 📊 • NumPy • Pandas • Data Cleaning Most of your time is spent preparing data. 4️⃣ Data Visualization 📈 • Matplotlib • Seaborn • Charts & Dashboards If you can't explain insights, they have no value. 5️⃣ Statistics Essentials 🎯 • Mean, Median, Mode • Probability • Hypothesis Testing Statistics is the foundation of Data Science. 6️⃣ SQL for Data Science 🗄️ • SELECT, WHERE • GROUP BY • JOINs Data lives in databases. Learn to query it. 7️⃣ Machine Learning 🤖 • Supervised Learning • Unsupervised Learning • Model Evaluation This is where predictions happen. 8️⃣ Projects & Deployment 🚀 • End-to-End Projects • APIs • Streamlit Dashboards Projects turn knowledge into proof. 9️⃣ Real Practice • Analyze public datasets • Build dashboards • Create ML projects • Share your work online Data Science skills aren’t learned by watching videos. They’re built by solving real problems with data every day.

🐍 Python Day 6 📝 Strings Strings are simply text. Examples: • 👋 Hello World • 📧 user@email.com • 🌐 python.org Every message, username, and email starts as a string. 💡 Most real-world data is text.

@Kakathegre Free resources are waiting for you in the link in my bio. Free Python courses are coming soon, so follow this page and don't miss out!

@TechiesVerse Can you recommend me some resources for python ?

If you’re learning: • AI • SQL • Excel • Python • Data Analysis • MachineLearning • Data Visualization • Prompt Engineering • Statistics & Probability To build a career in tech I hope you find my account Today 🤝

Want to become a Python Developer in 2026? Start here first: - Python Basics & Syntax - Functions + Advanced Concepts (decorators, generators) - OOP (Classes, Inheritance, Dunder Methods) - File Handling + Data Formats (CSV, JSON) - Working with APIs (requests, FastAPI) - SQL for Data Operations - Git + GitHub (version control) - Virtual Environments + Packaging - Error Handling + Logging - Testing Basics (pytest) - Web Frameworks (Flask or FastAPI) - Deployment (Docker basics + cloud) Python development isn’t just writing scripts. It’s about building clean, scalable, and maintainable applications that solve real problems. Master these foundations first. Then start shipping projects. Save this list. Build daily.

@TheDavidOmotoye Hey man, how are u doing.

@TechiesVerse Found you

@Taniyatweets_ 💯

@TechiesVerse Depth beats breadth every time

Learn Python in the right order: • Basics: variables, loops, functions • Data: lists, dicts, CSV files • Libraries: NumPy, Pandas • Visualization: Matplotlib • ML-ready: Scikit-learn basics Don’t learn everything. Learn the right things

@NitinthisSide_ Your most welcome 😊

@TechiesVerse Thanks :)

@Coderjetsetjoy Glad u found it useful 😊

@TechiesVerse Informative ☺️

@Kakathegre Whatsup man

@TechiesVerse Yo