Python for Data Analysts

Open in Telegram

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

Network:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert India7 392 Technologies & Applications2 607...

📈 Analytical overview of Telegram channel Python for Data Analysts

Channel Python for Data Analysts (@pythonanalyst) in the English language segment is an active participant. Currently, the community unites 51 508 subscribers, ranking 2 607 in the Technologies & Applications category and 7 392 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 51 508 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 255 over the last 30 days and by 22 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 4.29%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 209 views. Within the first day, a publication typically gains 0 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
Thematic interests: Content is focused on key topics such as visualization, panda, analyst, sql, analytic.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Find top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics”

Thanks to the high frequency of updates (latest data received on 07 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

51 508

Subscribers

+2224 hours

+627 days

+25530 days

2 209

Post views

No data24 hours

No data48 hours

4.29%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

51 508

Interview list for Data Analytics Roles SQL Essentials: - SELECT statements including WHERE, ORDER BY, GROUP BY, HAVING - Basic JOINS: INNER, LEFT, RIGHT, FULL - Aggregate functions: COUNT, SUM, AVG, MAX, MIN - Subqueries, Common Table Expressions (WITH clause) - CASE statements, advanced JOIN techniques, and Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK) Excel Proficiency: - Cell operations, formulas (SUMIFS, COUNTIFS, AVERAGEIFS, LOOKUPS) - PivotTables, PivotCharts, Data validation, What-if analysis - Advanced formulas, Data Model & Power Pivot Power BI Skills: - Data modeling (importing data, managing relationships) - Data transformation with Power Query, DAX for calculated columns/measures - Creating interactive reports and dashboards, visualizations Data Warehousing: -Concepts of OLAP vs. OLTP -Star and Snowflake schema designs -ETL processes: Extract, Transform, Load -Data lake vs. data warehouse Cloud Computing for Data Analytics: -Benefits of cloud services (AWS, Azure, Google Cloud) -Data storage solutions: S3, Azure Blob Storage, Google Cloud Storage -Cloud-based data analytics tools: BigQuery, Redshift, Snowflake -Cost management and optimization strategies Python Programming: - Basic syntax, control structures, data structures (lists, dictionaries) - Pandas & NumPy for data manipulation: DataFrames, Series, groupby -plotting with Matplotlib, Seaborn for visualization Statistics Fundamentals: - Mean, Median, Mode, Standard Deviation, Variance - Probability distributions, Hypothesis Testing, P-values - Confidence Intervals, Correlation, Simple Linear Regression I have curated top-notch Data Analytics Resources 👇👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Hope this helps you 😊

51 508

𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 😍 If you’re eager to build real skills in data analytics before landing your first role, Deloitte is giving you a golden opportunity—completely free! 💡 No prior experience required 📚 Ideal for students, freshers, and aspiring data analysts ⏰ Self-paced — complete at your convenience 🔗 𝗔𝗽𝗽𝗹𝘆 𝗛𝗲𝗿𝗲 (𝗙𝗿𝗲𝗲)👇:- https://pdlink.in/4iKcgA4 Enroll for FREE & Get Certified 🎓

51 508

Python for Data Analysis: Must-Know Libraries 👇👇 Python is one of the most powerful tools for Data Analysts, and these libraries will supercharge your data analysis workflow by helping you clean, manipulate, and visualize data efficiently. 🔥 Essential Python Libraries for Data Analysis: ✅ Pandas – The go-to library for data manipulation. It helps in filtering, grouping, merging datasets, handling missing values, and transforming data into a structured format. 📌 Example: Loading a CSV file and displaying the first 5 rows:

import pandas as pd df = pd.read_csv('data.csv') print(df.head())

✅ NumPy – Used for handling numerical data and performing complex calculations. It provides support for multi-dimensional arrays and efficient mathematical operations. 📌 Example: Creating an array and performing basic operations:

import numpy as np arr = np.array([10, 20, 30]) print(arr.mean()) # Calculates the average

✅ Matplotlib & Seaborn – These are used for creating visualizations like line graphs, bar charts, and scatter plots to understand trends and patterns in data. 📌 Example: Creating a basic bar chart:

import matplotlib.pyplot as plt plt.bar(['A', 'B', 'C'], [5, 7, 3]) plt.show()

✅ Scikit-Learn – A must-learn library if you want to apply machine learning techniques like regression, classification, and clustering on your dataset. ✅ OpenPyXL – Helps in automating Excel reports using Python by reading, writing, and modifying Excel files. 💡 Challenge for You! Try writing a Python script that: 1️⃣ Reads a CSV file 2️⃣ Cleans missing data 3️⃣ Creates a simple visualization React with ♥️ if you want me to post the script for above challenge! ⬇️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

51 508

𝗙𝗥𝗘𝗘 𝗦𝗼𝗳𝘁𝘀𝗸𝗶𝗹𝗹𝘀 𝗖𝗼𝘂𝗿𝘀𝗲 𝗪𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 😍 This FREE soft skills course is your gateway to mastering communication, teamwork, leadership, and more. Plus, you’ll earn a certificate to add a professional edge to your resume📄📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4j2CT4O Invest in yourself, and stand out in your career journey!✅️

51 508

Reality check on Data Analytics jobs: ⟶ Most recruiters & employers are open to different backgrounds ⟶ The "essential skills" are usually a mix of hard and soft skills Desired hard skills: ⟶ Excel - every job needs it ⟶ SQL - data retrieval and manipulation ⟶ Data Visualization - Tableau, Power BI, or Excel (Advanced) ⟶ Python - Basics, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc Desired soft skills: ⟶ Communication ⟶ Teamwork & Collaboration ⟶ Problem Solver ⟶ Critical Thinking If you're lacking in some of the hard skills, start learning them through online courses or engaging in personal projects. But don't forget to highlight your soft skills in your job application - they're equally important. In short: Excel + SQL + Data Viz + Python + Communication + Teamwork + Problem Solver + Critical Thinking = Data Analytics

51 508

𝟲 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗜𝗻 𝟮𝟬𝟮𝟱😍 Whether you’re a student, aspiring data analyst, software enthusiast, or just curious about AI, now’s the perfect time to dive in. These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more 𝗟𝗶𝗻𝗸:-👇 https://pdlink.in/4d0SrTG Enroll for FREE & Get Certified 🎓

51 508

Top Python Libraries for Data Analysis Pandas: For data manipulation and analysis. NumPy: For numerical computations and array operations. Matplotlib: For creating static visualizations. Seaborn: For statistical data visualization. SciPy: For advanced mathematical and scientific computations. Scikit-learn: For machine learning tasks. Statsmodels: For statistical modeling and hypothesis testing. Plotly: For interactive visualizations. OpenPyXL: For working with Excel files. PySpark: For big data processing. Here you can find essential Python Interview Resources👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Like this post for more resources like this 👍♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

51 508

Numpy methods👨‍💻🧠

51 508

𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Whether you’re a student, fresher, or professional looking to upskill — Microsoft has dropped a series of completely free courses to get you started. Learn SQL ,Power BI & More In 2025 𝗟𝗶𝗻𝗸:-👇 https://pdlink.in/42FxnyM Enroll For FREE & Get Certified 🎓

51 508

Profound Python Libraries.epub1.51 MB

51 508

𝟳 𝗙𝗿𝗲𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱😍 💼 Want to Upgrade Your Resume in 2025 — Without Spending a Dime?💫 Whether you’re in tech, marketing, business, or just looking to stand out — adding high-quality certifications to your resume can make a huge difference📄 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4iE6uzT The best part? You don’t need to spend any money to do it💰📌

51 508

Numpy Cheatsheet 📱

51 508

Python Syntax Cheatsheet 👆

51 508

𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘: 𝟰 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿-𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝘆 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗦𝘁𝗮𝗿𝘁 𝗧𝗼𝗱𝗮𝘆!😍 🌟 Want to upgrade your skills without spending a dime? 💻 Dive into these beginner-friendly courses covering essential topics like Business Intelligence, Generative AI, C Programming, and Python Interview Preparation👨‍💻 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3PqVud9 All The Best 🎊

51 508

How Data Analysts use Python 👆

51 508

Type Conversion in Python 👆

51 508

𝗧𝗖𝗦 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗢𝗻 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 - 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍 Want to know how top companies handle massive amounts of data without losing track? 📊 TCS is offering a FREE beginner-friendly course on Master Data Management, and yes—it comes with a certificate! 🎓 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4jGFBw0 Just click and start learning!✅️

51 508

Learning Python in 2025 is like discovering a treasure chest 🎁 full of magical powers! Here's why it's valuable: 1. Versatility 🌟: Python is used in web development, data analysis, artificial intelligence, machine learning, automation, and more. Whatever your interest, Python has an option for it. 2. Ease of Learning 📚: Python's syntax is as clear as a sunny day!☀️ Its simple and readable syntax makes it beginner-friendly, perfect for aspiring programmers of all levels. 3. Community Support 🤝: Python has a vast community of programmers ready to help! Whether you're stuck on a problem or looking for guidance, there are countless forums, tutorials, and resources to tap into. 4. Job Opportunities 💼: Companies are constantly seeking Python wizards to join their ranks! From tech giants to startups, the demand for Python skills is abundant.🔥 5. Future-proofing 🔮: With its widespread adoption and continuous growth, learning Python now sets you up for success in the ever-evolving world of tech. 6. Fun Projects 🎉: Python makes coding feel like brewing potions! From creating games 🎮 to building robots 🤖, the possibilities are endless. So grab your keyboard and embark on a Python adventure! It's not just learning a language, it's unlocking a world of endless possibilities.

51 508

Reverse a list in Python