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Согласно последним данным от 14 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 525, а за последние 24 часа — 20, при этом общий охват остаётся высоким.

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Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 7.70%. В первые 24 часа после публикации контент обычно набирает 1.28% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 3 991 просмотров. В течение первых суток публикация набирает 665 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 8.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как analyst, |--, excel, visualization, analytic.

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“Data Analysis Useful Resources #dataanalysis #dataanalysisbooks #sqlbooks #pythonbooks #tableau #powerbi #datavisualization For promotions: @coderfun”

Благодаря высокой частоте обновлений (последние данные получены 15 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

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3 991

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~ 92148 часов

7.70%

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Applied to 100+ jobs but still struggling? 9 out of 10 professionals take 4-6 months to switch to their targeted company! To solve this, Newton School has launched a 2-Month Placement Training & Referral Program for Software Development and Data Science roles. What you get: ✅ 1:1 Mentorship from top industry experts ✅ Skill gap analysis and targeted grooming ✅ Company-specific prep + mock interviews with expert feedback ✅ Resume & LinkedIn optimization to beat ATS ✅ Guaranteed 5+ first-round interviews at top companies We select only 10 candidates per month for each domain (Software Development & Data Science). 🚀 Interested? Apply here: 👇 https://tinyurl.com/DPKXCLRTE This program is only for those who are graduated on or before 2025

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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.

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𝗦𝗤𝗟 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗧𝗵𝗮𝘁 𝗖𝗮𝗻 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗚𝗲𝘁 𝗬𝗼𝘂 𝗛𝗶𝗿𝗲𝗱!😍 Want to land a Data Analyst or SQL-based job? 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4hCYob9 🚀 Start working on these projects today & boost your SQL skills! 💻

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Hey guys, Since many of you were asking me to send Free Sessions to become Business Analyst 📌So we have come with a FREE webinar for you!! 👨🏻‍💻 👩🏻‍💻 Register here 👇👇 https://link.guvi.in/SQLspecialist01632 This is a beginner friendly session, so register fast before slots are over 💪 ENJOY LEARNING 👍👍

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Don't stress too much on which tools to learn first. Pickup 2-3 tools and master them. Skills are transferable. For eg- If you can create an amazing dashboard in Power BI, you can make similar impressive dashboard in Tableau as well. If you can run efficient queries in MySQL, it's going to be nearly same in PostgreSQL as well. If you can manipulate fields in Excel, you can do the same stuff in Google Sheets as well. Continuity is the key 😄 Never stop Learning ❤️

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The most imp thing data analysts do is to understand the business requirements. (1) Gathering Data This means collecting data from different sources. Many a times this is done in collaboration with data engineers and architects hence usually the data analyst doesn’t have to do a lot in this. (2) Cleaning Data Going through the data and trying to understand it, making corrections where needed such as removing outliers or data that should not be included in the analysis. This step can take a lot of time, but understanding the data is crucial before you start to process it. (3) Processing data The data processing part of the process is where I use my skills and tools to analyze the work and come up with solutions for the problem at hand. (4) Creating reports for business leaders As an analyst, a lot of my time goes into creating and maintaining reports/dashboards for stakeholders and business leaders. This means showing the metrics and KPIs in the best manner possible to help drive business decisions. The best analysts are those that can use data to tell a story. (5) Collaborating with people This one is my favorite! As a data analyst, you work with many people across departments, both senior and junior. You’ll also likely collaborate closely with other people who work in data science like data architects and database developers. Tools I use: Excel,PowerBI,SQL and Python(sometimes)

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𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍 Want to master Python and level up your data analytics skills?✨️ These high-quality tutorials to help you go from beginner to pro!✅️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4hXQOHQ 📢 No cost, no catch – just pure learning! 🚀

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Useful websites to practice and enhance your Data Analytics skills 👇👇 1. SQL https://mode.com/sql-tutorial/introduction-to-sql https://t.me/sqlspecialist/738 2. Python https://www.learnpython.org/ https://t.me/pythondevelopersindia/873 https://bit.ly/3T7y4ta https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial 3. R https://www.datacamp.com/courses/free-introduction-to-r 4. Data Structures https://leetcode.com/study-plan/data-structure/ https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513 5. Data Visualization https://www.freecodecamp.org/learn/data-visualization/ https://t.me/Data_Visual/2 https://www.tableau.com/learn/training/20223 https://www.workout-wednesday.com/power-bi-challenges/ 6. Excel https://excel-practice-online.com/ https://www.w3schools.com/EXCEL/index.php Join @free4unow_backup for more free courses ENJOY LEARNING 👍👍

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𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗶𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀!😍 🔥 Want to learn from one of the world’s top universities? Now’s your chance!🔗 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/431A66l Start Learning Now✅️

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✈️ 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 𝐭𝐨 𝐁𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐚 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝟏. 𝐄𝐱𝐜𝐞𝐥: 𝐘𝐨𝐮𝐫 𝐂𝐨𝐫𝐞 𝐓𝐨𝐨𝐥 Master Excel skills for effective data analysis by focusing on: ・Cleaning and organizing data ・Using pivot tables for summaries ・Advanced functions like VLOOKUP, INDEX, and MATCH ・Designing impactful visualizations 𝟐. 𝐁𝐮𝐢𝐥𝐝 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 Statistics are essential for interpreting data. Learn: ・Descriptive statistics (mean, median, mode) ・Probability distributions ・Hypothesis testing and confidence intervals 𝟑. 𝐃𝐨𝐦𝐢𝐧𝐚𝐭𝐞 𝐏𝐲𝐭𝐡𝐨𝐧 𝐨𝐫 𝐑 Choose Python or R to boost your analysis game: ・Clean and structure datasets ・Create visualizations (Matplotlib, Seaborn, or Tidyverse) ・Leverage powerful libraries for in-depth analysis 𝟒. 𝐌𝐚𝐬𝐭𝐞𝐫 𝐒𝐐𝐋 SQL is vital for working with databases. Hone these skills: ・Query writing for data extraction ・Combining data with JOINS ・Using aggregate functions ・Optimizing query performance 𝟓. 𝐄𝐱𝐜𝐞𝐥 𝐚𝐭 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 Transform data into stories with tools like Power BI or Tableau: ・Build insightful dashboards ・Create interactive visualizations ・Craft compelling, data-driven narratives 𝟔. 𝐏𝐞𝐫𝐟𝐞𝐜𝐭 𝐃𝐚𝐭𝐚 𝐂𝐥𝐞𝐚𝐧𝐢𝐧𝐠 Data cleaning ensures accurate results. Learn to: ・Handle missing values ・Detect and manage outliers ・Normalize and format data for analysis 𝟕. 𝐆𝐞𝐭 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐰𝐢𝐭𝐡 𝐑𝐞𝐚𝐥-𝐖𝐨𝐫𝐥𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 Practical experience is key! Work on: ・Market or business data analysis ・Financial or sales dashboards ・Customer segmentation 𝟖. 𝐒𝐡𝐚𝐫𝐩𝐞𝐧 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐤𝐢𝐥𝐥𝐬 Translate data insights into actionable recommendations: ・Write clear, concise reports ・Present to non-technical audiences ・Deliver impactful, data-backed decisions

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𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 & 𝗨𝗻𝗹𝗼𝗰𝗸 𝗛𝗶𝗴𝗵-𝗣𝗮𝘆𝗶𝗻𝗴 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀!😍 Top 3 Free YouTube Playlists to Learn SQL 1)SQL Tutorial Videos 2)SQL Mastery: From Basics to Advanced 3)Learn Complete SQL (Beginner to Advanced) 𝗟𝗶𝗻𝗸 👇:- https://pdlink.in/4hFyseX Enroll For FREE & Get Certified🎓

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Knowing Excel, SQL, PowerBI, Python is great. But if you don’t know how to "sell" your analysis there's a high chance you'll fail. Here's what to do: - Come up with questions to investigate. - Create easy-to-understand answers. - Explain what to do next. It's that simple.

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Learn these to become a 1. Data analyst: 📍Excel 📍SQL 📍Data viz tool (Power BI/Tableau) 2. Data engineer: 📍SQL 📍Python + Spark 📍Cloud platform (AWS/Azure/GCP) 3. Data scientist: 📍SQL 📍Python/R 📍Statistics/machine learning

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𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿😍 1) Introduction to Cyber Security 2) AWS Cloud Masterclass 3)Salesforce Developer Catalyst 4) Python Basics 5) Project Management Basics 𝗟𝗶𝗻𝗸 👇:- https://pdlink.in/4jQJfo5 Enroll For FREE & Get Certified🎓

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Data Analytics, Data Science & AI Jobs Are Highly Demanding In 2025😍 Learn These Technologies From Top Industry Data Experts Curriculum designed and taught by Alumni from IITs & Leading Tech Companies. 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝗲𝘀:- - 10+ Hiring Drives Every Month - 500+ Hiring Partners - 7.2 LPA Average Salary - 100% Job Assistance Apply Now 👇:- https://tracking.acciojob.com/g/PUfdDxgHR ( Hurry Up🏃‍♂️ Limited Slots)

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Guide to Become a Data Analyst! 🔍 Foundation: Build Your Basics 1. Understanding Data Fundamentals: Dive into the basics of data types, structures, and formats. 2. Learn Data Tools: Familiarize yourself with popular tools like Excel, SQL, and Python. 3. Master Data Visualization: Develop skills in creating insightful charts and graphs to communicate findings effectively. 4. Introduction to Statistics: Get comfortable with key statistical concepts like mean, median, and standard deviation. 📈 Intermediate: Deepen Your Skills 5. Advanced Data Manipulation: Level up your data wrangling abilities with techniques like pivot tables and data cleaning. 6. Statistical Analysis: Dive deeper into hypothesis testing, regression analysis, and probability distributions. 7. Machine Learning Basics: Explore the fundamentals of machine learning algorithms and their applications in data analysis. 8. Data Storytelling: Hone your ability to craft compelling narratives from data insights. 📊 Advanced: Specialize and Excel 9. Specialize in a Domain: Choose a niche area such as marketing analytics, financial analysis, or healthcare data. 10. Advanced Machine Learning: Deepen your understanding of complex algorithms like neural networks and ensemble methods. 11. Big Data Technologies: Explore tools and platforms for handling large-scale datasets such as Hadoop and Spark. 12. Ethics and Privacy: Understand the ethical considerations and legal implications of handling sensitive data.

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𝟱 𝗠𝘂𝘀𝘁-𝗗𝗼 𝗦𝗤𝗟 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝘁𝗼 𝗜𝗺𝗽𝗿𝗲𝘀𝘀 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗲𝗿𝘀!😍 If you’re aiming for a Data Analyst, Business Analyst, or Data Scientist role, mastering SQL is non-negotiable. 📊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4aUoeER Don’t just learn SQL—apply it with real-world projects!✅️

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🔍 Want to break into Data Analytics? Join our free Workshop with a *Data Engineer from Mercedes*! 🚀 ✅ Career insights in Data Analytics ✅ Live data analysis& visualization demo ✅ Expert guidance to fast-track your journey 📅 13th Feb |⏰ 6 PM |📍 Online Seats are limited! Reserve yours now: Registeration link: 👇 https://openinapp.link/gjn8v

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Breaking into Data Analysis can be very confusing in 2024! Should I learn SQL or NoSQL? Tableau or Power BI? Excel or Google Sheets? Python or R? Fundamental principles are more important than tools: Understanding data cleaning and preprocessing is more important than SQL vs NoSQL. Understanding data visualization concepts is more important than Tableau vs Power BI. Understanding statistical analysis is more important than Excel vs R. Understanding programming for data manipulation is more important than Python vs R. Knowing these will allow you to pick up new emerging tools easily. Stick to fundamentals first.

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𝗙𝗿𝗲𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗕𝘆 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍 - JP Morgan - Accenture - Walmart - Tata Group - Accenture 𝗟𝗶𝗻𝗸 👇:- https://pdlink.in/3WTGGI8 Enroll For FREE & Get Certified🎓