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Python for Data Analysts

Python for Data Analysts

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Find top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics

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📈 Análisis del canal de Telegram Python for Data Analysts

El canal Python for Data Analysts (@pythonanalyst) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 51 503 suscriptores, ocupando la posición 2 607 en la categoría Tecnologías y Aplicaciones y el puesto 7 392 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 51 503 suscriptores.

Según los últimos datos del 05 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 255, y en las últimas 24 horas de 22, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.29%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 209 visualizaciones. En el primer día suele acumular 0 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 8.
  • Intereses temáticos: El contenido se centra en temas clave como visualization, panda, analyst, sql, analytic.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Find top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 06 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

51 503
Suscriptores
+2224 horas
+627 días
+25530 días
Archivo de publicaciones
𝗦𝘁𝗲𝗽 𝗜𝗻𝘁𝗼 𝗮 𝗕𝗖𝗚 𝗔𝗻𝗮𝗹𝘆𝘀𝘁’𝘀 𝗦𝗵𝗼𝗲𝘀: 𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 + 𝗖𝗲𝗿�
𝗦𝘁𝗲𝗽 𝗜𝗻𝘁𝗼 𝗮 𝗕𝗖𝗚 𝗔𝗻𝗮𝗹𝘆𝘀𝘁’𝘀 𝗦𝗵𝗼𝗲𝘀: 𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 + 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲😍 💼 Ever Wondered How Data Shapes Real Business Decisions at a Top Consulting Firm?🧑‍💻✨️ Now you can experience it firsthand with this interactive simulation from BCG (Boston Consulting Group)📊📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/45HWKRP This is a powerful resume booster and a unique way to prove your analytical skills✅️

If I need to teach someone data analytics from the basics, here is my strategy: 1. I will first remove the fear of tools from that person 2. i will start with the excel because it looks familiar and easy to use 3. I put more emphasis on projects like at least 5 to 6 with the excel. because in industry you learn by doing things 4. I will release the person from the tutorial hell and move into a more action oriented person 5. Then I move to the sql because every job wants it , even with the ai tools you need strong understanding for it if you are going to use it daily 6. After strong understanding, I will push the person to solve 100 to 150 Sql problems from basic to advance 7. It helps the person to develop the analytical thinking 8. Then I push the person to solve 3 case studies as it helps how we pull the data in the real life 9. Then I move the person to power bi to do again 5 projects by using either sql or excel files 10. Now the fear is removed. 11. Now I push the person to solve unguided challenges and present them by video recording as it increases the problem solving, communication and data story telling skills 12. Further it helps you to clear case study round given by most of the companies 13. Now i help the person how to present them in resume and also how these tools are used in real world. 14. You know the interesting fact, all of above is present free in youtube and I also mentor the people through existing youtube videos. 15. But people stuck in the tutorial hell, loose motivation , stay confused that they are either in the right direction or not. 16. As a personal mentor , I help them to get of the tutorial hell, set them in the right direction and they stay motivated when they start to see the difference before amd after mentorship I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://topmate.io/analyst/861634 Hope this helps you 😊

30 Days Python Roadmap for Data Analysts 👆
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30 Days Python Roadmap for Data Analysts 👆

Quick Recap of Power BI Concepts 1️⃣ Power Query: The data transformation engine that lets you clean, reshape, and combine data before loading it into Power BI. 2️⃣ Data Model: A structure of tables, relationships, and calculated fields that supports report creation. 3️⃣ Relationships: Connections between tables that allow you to create reports using data from multiple tables. 4️⃣ DAX (Data Analysis Expressions): A formula language used for creating calculated columns, measures, and custom tables. 5️⃣ Visualizations: Graphical representations of data, such as bar charts, line charts, maps, and tables. 6️⃣ Slicers: Interactive filters added to reports to help users refine data views. 7️⃣ Measures: Calculations created using DAX that perform dynamic aggregations based on the context in your report. 8️⃣ Calculated Columns: Static columns created using DAX expressions that perform row-by-row calculations. 9️⃣ Reports: A collection of visualizations, text, and slicers that tell a story using your data. 🔟 Power BI Service: The online platform where you publish, share, and collaborate on Power BI reports and dashboards. I have curated the best interview resources to crack Power BI Interviews 👇👇 https://t.me/DataSimplifier Hope you'll like it Like this post if you need more content like this 👍❤️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

𝟓 𝐅𝐫𝐞𝐞 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐭𝐨 𝐁𝐮𝐢𝐥𝐝 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐬 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐂𝐨�
𝟓 𝐅𝐫𝐞𝐞 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐭𝐨 𝐁𝐮𝐢𝐥𝐝 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐬 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐂𝐨𝐝𝐢𝐧𝐠😍 Want to Create AI Automations & Agents Without Writing a Single Line of Code?🧑‍💻 These 5 free YouTube tutorials will take you from complete beginner to automation expert in record time.🧑‍🎓✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4lhYwhn Just pure, actionable automation skills — for free.✅️

30 Days Python Roadmap for Data Analysts 👆
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30 Days Python Roadmap for Data Analysts 👆

𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗶𝗻 𝗝𝘂𝘀𝘁 𝟳 𝗗𝗮𝘆𝘀: 𝗧𝗵𝗲 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗙𝗿𝗲𝗲 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗚𝗲𝘁 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆�
𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗶𝗻 𝗝𝘂𝘀𝘁 𝟳 𝗗𝗮𝘆𝘀: 𝗧𝗵𝗲 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗙𝗿𝗲𝗲 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗚𝗲𝘁 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆😍 Want to learn SQL in just 7 days?🧑‍🎓 Whether you’re a complete beginner or prepping for interviews, this 7-day plan will take you from writing your first SELECT query to mastering JOINs, transactions, and even database design.🧑‍💻✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3Hs7Fps Perfect for students, freshers, and aspiring data analysts.✅️

Data Wrangling with Pandas Cheatsheet
Data Wrangling with Pandas Cheatsheet

Data analysis with Python Important Topics 😄❤️
Data analysis with Python Important Topics 😄❤️

DATA ANALYST Interview Questions (0-3 yr) (SQL, Power BI) 👉 Power BI: Q1: Explain step-by-step how you will create a sales dashboard from scratch. Q2: Explain how you can optimize a slow Power BI report. Q3: Explain Any 5 Chart Types and Their Uses in Representing Different Aspects of Data. 👉SQL: Q1: Explain the difference between RANK(), DENSE_RANK(), and ROW_NUMBER() functions using example. Q2 – Q4 use Table: employee (EmpID, ManagerID, JoinDate, Dept, Salary) Q2: Find the nth highest salary from the Employee table. Q3: You have an employee table with employee ID and manager ID. Find all employees under a specific manager, including their subordinates at any level. Q4: Write a query to find the cumulative salary of employees department-wise, who have joined the company in the last 30 days. Q5: Find the top 2 customers with the highest order amount for each product category, handling ties appropriately. Table: Customer (CustomerID, ProductCategory, OrderAmount) 👉Behavioral: Q1: Why do you want to become a data analyst and why did you apply to this company? Q2: Describe a time when you had to manage a difficult task with tight deadlines. How did you handle it? I have curated best top-notch Data Analytics Resources 👇👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Hope this helps you 😊

𝗧𝗼𝗽 𝗣𝘆𝘁𝗵𝗼𝗻 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗔𝘀𝗸𝗲𝗱 𝗯𝘆 𝗠𝗡𝗖𝘀😍 If you can answer these Python questions
𝗧𝗼𝗽 𝗣𝘆𝘁𝗵𝗼𝗻 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗔𝘀𝗸𝗲𝗱 𝗯𝘆 𝗠𝗡𝗖𝘀😍 If you can answer these Python questions, you’re already ahead of 90% of candidates.🧑‍💻✨️ These aren’t your average textbook questions. These are real interview questions asked in top MNCs — designed to test how deeply you understand Python.📊📍 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4mu4oVx This is the smart way to prepare✅️

Useful Pandas Functions 👆
Useful Pandas Functions 👆

DSA in Python 👆👆
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DSA in Python 👆👆

𝟱 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱 (𝗡𝗼 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗡
𝟱 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱 (𝗡𝗼 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗡𝗲𝗲𝗱𝗲𝗱!)😍 Ready to Upgrade Your Skills for a Data-Driven Career in 2025?📍 Whether you’re a student, a fresher, or someone switching to tech, these free beginner-friendly courses will help you get started in data analysis, machine learning, Python, and more👨‍💻🎯 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4mwOACf Best For: Beginners ready to dive into real machine learning✅️

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗸𝗻𝗼𝘄 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝗻 𝗮 𝗿𝗲𝗮𝗹 𝗱𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄? 𝗕𝗮𝘀𝗶𝗰 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 -Brief introduction about yourself. -Explanation of how you developed an interest in learning Power BI despite having a chemical background. 𝗧𝗼𝗼𝗹𝘀 𝗣𝗿𝗼𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 -Discussion about the tools you are proficient in. -Detailed explanation of a project that demonstrated your proficiency in these tools. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗘𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻 Explain about any Data Analytics Project you did, below are some follow-up questions for sales related data analysis project Follow-up Question: Was there any improvement in sales after building the report? Provide a clear before and after scenario in sales post-report creation. What areas did you identify where the company was losing sales, and what were your recommendations? - How do you check the quality of data when it's given to you? Explain your methods for ensuring data quality. - How do you handle null values? Describe your approach to managing null values in datasets. 𝗦𝗤𝗟 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 -Explain the order in which SQL clauses are executed. -Write a query to find the percentage of the 18-year-old population. Details: You are given two tables: Table 1: Contains states and their respective populations. Table 2: Contains three columns (state, gender, and population of 18-year-olds). -Explain window functions and how to rank values in SQL. - Difference between JOIN and UNION. -How to return unique values in SQL. 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 -Solve a puzzle involving 3 gallons of water in one jar and 2 gallons in another to get exactly 4 gallons. Step-by-step solution for the water puzzle. - What skills have you learned on your own? Discuss the skills you self-taught and their impact on your career. -Describe cases when you showcased team spirit. -⭐ 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗔𝗽𝗽 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 Scenario: Choose any social media app (I choose Discord). Question: What function/feature would you add to the Discord app, and how would you track its success? - Rate yourself on Excel, SQL, and Python out of 10. - What are your strengths in data analytics? I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Like if it helps :)

𝟯 𝗙𝗿𝗲𝗲 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱😍 Wan
𝟯 𝗙𝗿𝗲𝗲 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱😍 Want to master Python for Data Analytics without spending a single rupee?💰✨️ You don’t need expensive bootcamps or paid certifications to get started. Thanks to the open-source community, there are incredible free GitHub repositories that cover everything you need🧑‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/47hf59F Don’t just study theory—start coding, analyzing, and building today. Your portfolio (and future self) will thank you✅️

🔰 Python Toolkit for Data Analysis
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🔰 Python Toolkit for Data Analysis

Matplotlib.pdf3.99 MB

𝟯 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮�
𝟯 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍 Want to earn free certificates and badges from Microsoft? 🚀 These courses are your golden ticket to mastering in-demand tech skills while boosting your resume with official Microsoft credentials🧑‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4mlCvPu These certifications will help you stand out in interviews and open new career opportunities in tech✅️

🚀 Become an Agentic AI Builder — Free 12‑Week Certification by Ready Tensor Ready Tensor’s Agentic AI Developer Certificatio
🚀 Become an Agentic AI Builder — Free 12‑Week Certification by Ready Tensor Ready Tensor’s Agentic AI Developer Certification is a free, project first 12‑week program designed to help you build and deploy real-world agentic AI systems. You'll complete three portfolio-ready projects using tools like LangChain, LangGraph, and vector databases, while deploying production-ready agents with FastAPI or Streamlit. The course focuses on developing autonomous AI agents that can plan, reason, use memory, and act safely in complex environments. Certification is earned not by watching lectures, but by building — each project is reviewed against rigorous standards. You can start anytime, and new cohorts begin monthly. Ideal for developers and engineers ready to go beyond chat prompts and start building true agentic systems. 👉 Apply now: https://www.readytensor.ai/agentic-ai-cert/