Уже доступно! Исследование Telegram 2025 — ключевые инсайты года 
Data Analyst Interview Resources
Открыть в Telegram
Join our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! 📊 For ads & suggestions: @love_data
Больше📈 Аналитический обзор Telegram-канала Data Analyst Interview Resources
Канал Data Analyst Interview Resources (@dataanalystinterview) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 52 280 подписчиков, занимая 3 330 место в категории Образование и 7 186 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 52 280 подписчиков.
Согласно последним данным от 11 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 247, а за последние 24 часа — 13, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.55%. В первые 24 часа после публикации контент обычно набирает 0.92% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 1 332 просмотров. В течение первых суток публикация набирает 479 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как sql, row, |--, dataset, visualization.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Join our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! 📊
For ads & suggestions: @love_data”
Благодаря высокой частоте обновлений (последние данные получены 12 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.
52 280
Подписчики
+1324 часа
+677 дней
+24730 день
Архив постов
✅ Top 10 Power BI Interview Questions & Answers 📊💼
1️⃣ What is Power BI and why is it used?
Power BI is Microsoft’s business analytics tool for creating interactive dashboards and reports. It helps visualize data for better decision-making.
2️⃣ Key components of Power BI?
- Power BI Desktop: For building reports
- Power BI Service: Cloud sharing & collaboration
- Power BI Mobile: Access on mobile
- Power BI Gateway: Connect on-premise data
- Power BI Report Server: On-premise reporting
3️⃣ What is DAX?
DAX (Data Analysis Expressions) is the formula language used to create custom measures, calculated columns, and tables.
4️⃣ Calculated Column vs Measure?
- Calculated Column: Row-by-row calculation, adds new column
- Measure: Aggregates data, used in visuals
5️⃣ DirectQuery vs Import Mode?
- Import: Faster, data stored in Power BI
- DirectQuery: Real-time queries, slower, connects live to DB
6️⃣ What are Relationships in Power BI?
They define how tables connect using keys, allowing cross-table filtering and data modeling.
7️⃣ How to optimize performance?
- Use Import mode
- Follow Star Schema
- Limit visuals & slicers
- Use aggregated tables
- Optimize DAX
8️⃣ What is a Slicer?
A visual filter users can interact with to filter data on the report page.
9️⃣ Handling null values?
- Use Replace Values in Power Query
- Use DAX like: IF(ISBLANK([Column]), 0, [Column])
- Use COALESCE for defaults
🔟 What are Bookmarks?
They save the report's state (filters, visuals) to create guided views or navigation buttons.
👍 React ❤️ if you found this helpful!
𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | Microsoft & AWS included😍
- Microsoft Courses
- IT/Software
- Data Science & ML
- AI & Generative AI
- Management
- Cyber Security
- Cloud Computing
𝗘𝗻𝗿𝗼𝗹𝗹 𝗡𝗼𝘄 & 𝗚𝗲𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱👇:-
https://pdlink.in/48wVJ0O
Prep for jobs with AI mock interviews & resume builder
If you want to be a data analyst, you should work to become as good at SQL as possible. 📱
1. SELECT
What a surprise! I need to choose what data I want to return.
2. FROM
Again, no shock here. I gotta choose what table I am pulling my data from.
3. WHERE
This is also pretty basic, but I almost always filter the data to whatever range I need and filter the data to whatever condition I’m looking for.
4. JOIN
This may surprise you that the next one isn’t one of the other core SQL clauses, but at least for my work, I utilize some kind of join in almost every query I write.
5. Calculations
This isn’t necessarily a function of SQL, but I write a lot of calculations in my queries. Common examples include finding the time between two dates and multiplying and dividing values to get what I need.
Add operators and a couple data cleaning functions and that’s 80%+ of the SQL I write on the job.
React ♥️ for more
𝗧𝗼𝗽 𝗠𝗡𝗖𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 ,𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀😍
Qualification:- Graduation
Salary Range :- 5 To 24LPA
Job Location:- PAN India
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇:-
https://pdlink.in/42K8l0Q
Select your experience & Complete the Registration Process
Select the company name & apply for the role that matches you
Roadmap for Becoming a Data Analyst 📈 📖
1. Prerequisites
- Learn basic Excel/Google Sheets for data handling
- Learn Python or R for data manipulation
- Study Mathematics & Statistics:
1️⃣ Mean, median, mode, standard deviation
2️⃣ Probability, hypothesis testing, distributions
2. Learn Essential Tools & Libraries
- Python libraries: Pandas, NumPy, Matplotlib, Seaborn
- SQL: For querying databases
- Excel: Pivot tables, VLOOKUP, charts
- Power BI / Tableau: For data visualization
3. Data Handling & Preprocessing
- Understand data types, missing values
- Data cleaning techniques
- Data transformation & feature engineering
4. Exploratory Data Analysis (EDA)
- Identify patterns, trends, and outliers
- Use visualizations (bar charts, histograms, heatmaps)
- Summarize findings effectively
5. Basic Analytics & Business Insights
- Understand KPIs, metrics, dashboards
- Build analytical reports
- Translate data into actionable business insights
6. Real Projects & Practice
- Analyze sales, customer, or marketing data
- Perform churn analysis or product performance reviews
- Use platforms like Kaggle or Google Dataset Search
7. Communication & Storytelling
- Present insights with compelling visuals
- Create clear, concise reports for stakeholders
8. Advanced Skills (Optional)
- Learn Predictive Modeling (basic ML)
- Understand A/B Testing, time-series analysis
- Explore Big Data Tools: Spark, Hadoop (if needed)
9. Career Prep
- Build a strong portfolio on GitHub
- Create a LinkedIn profile with projects
- Prepare for SQL, Excel, and scenario-based interviews
💡 Consistent practice + curiosity = great data analyst!
💬 Double Tap ♥️ for more
Think you’ve missed the latest breakthrough in crypto?
Don’t let profits slip away! In CRYPTOSPHERE🚀, you get real-time trading signals, insider news, and access to a global community — plus expert support 24/7.
Start trading smarter and catch opportunities before everyone else — join CRYPTOSPHERE🚀 right now!
#ad InsideAds
𝗔𝗜 & 𝗠𝗟 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍
Here’s your chance 👉 100% Free Certification Courses 🎓– absolutely FREE!
💡 Learn from industry experts
📜 Get certificates that add value to your profile
🚀 Build real-world projects
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 𝗡𝗼𝘄 👇:-
https://pdlink.in/3U3eZuq
🚀 Limited seats available – Enroll For FREE now!
Join today and get 150% bonus! We will turn £100->£250
#ad InsideAds
Join today and get 150% bonus! We will turn £100->£250
#ad InsideAds
𝟯 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟱😍
Upgrade your skills without spending a penny!
1️⃣ AI & ML – https://pdlink.in/3U3eZuq
2️⃣ Data Analytics – https://pdlink.in/4lp7hXQ
3️⃣ Microsoft & AWS – https://pdlink.in/4m3FwTX
🎯 Learn Online | High Value | Certificates Included ✅
💸 Earn Big From Anywhere! Work online, no skills needed.
🕒 Part-time or full-time – you choose.
📩 Message our Telegram Manager today!
#ad InsideAds
Data Analytics project ideas to build your portfolio in 2025:
1. Sales Data Analysis Dashboard
Analyze sales trends, seasonal patterns, and product performance.
Use Power BI, Tableau, or Python (Dash/Plotly) for visualization.
2. Customer Segmentation
Use clustering (K-means, hierarchical) on customer data to identify groups.
Provide actionable marketing insights.
3. Social Media Sentiment Analysis
Analyze tweets or reviews using NLP to gauge public sentiment.
Visualize positive, negative, and neutral trends over time.
4. Churn Prediction Model
Analyze customer data to predict who might leave a service.
Use logistic regression, decision trees, or random forest.
5. Financial Data Analysis
Study stock prices, moving averages, and volatility.
Create an interactive dashboard with key metrics.
6. Healthcare Analytics
Analyze patient data for disease trends or hospital resource usage.
Use visualization to highlight key findings.
7. Website Traffic Analysis
Use Google Analytics data to identify user behavior patterns.
Suggest improvements for user engagement and conversion.
8. Employee Attrition Analysis
Analyze HR data to find factors leading to employee turnover.
Use statistical tests and visualization.
React ❤️ for more
📊𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 - 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 😍
Start learning industry-relevant data skills today at zero cost!
✅ 100% FREE Certification
✅ Learn Data Analysis, Excel, SQL, Power BI & more
✅ Boost your resume with job-ready skills
🚀 Perfect for Students, Freshers & Career Switchers
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4lp7hXQ
🎓 Enroll Now & Get Certified
🔥 Recent Data Analyst Interview Q&A at Deloitte 🔥
Question:
👉 Write an SQL query to extract the third highest salary from an employee table with columns EID and ESalary.
Solution:
SELECT ESalary
FROM (
SELECT ESalary,
DENSE_RANK() OVER (ORDER BY ESalary DESC) AS salary_rank
FROM employee
) AS ranked_salaries
WHERE salary_rank = 3;Я получил свои первые TON за 5 минут — и ничем не рисковал!
«Думал, что это очередной фейк… но TON реально пришли на счет»
Хочешь также? Узнай, как получить до 10 TON без вложений — уже сегодня.
#ad InsideAds.
Q. Explain the data preprocessing steps in data analysis.
Ans. Data preprocessing transforms the data into a format that is more easily and effectively processed in data mining, machine learning and other data science tasks.
1. Data profiling.
2. Data cleansing.
3. Data reduction.
4. Data transformation.
5. Data enrichment.
6. Data validation.
Q. What Are the Three Stages of Building a Model in Machine Learning?
Ans. The three stages of building a machine learning model are:
Model Building: Choosing a suitable algorithm for the model and train it according to the requirement
Model Testing: Checking the accuracy of the model through the test data
Applying the Model: Making the required changes after testing and use the final model for real-time projects
Q. What are the subsets of SQL?
Ans. The following are the four significant subsets of the SQL:
Data definition language (DDL): It defines the data structure that consists of commands like CREATE, ALTER, DROP, etc.
Data manipulation language (DML): It is used to manipulate existing data in the database. The commands in this category are SELECT, UPDATE, INSERT, etc.
Data control language (DCL): It controls access to the data stored in the database. The commands in this category include GRANT and REVOKE.
Transaction Control Language (TCL): It is used to deal with the transaction operations in the database. The commands in this category are COMMIT, ROLLBACK, SET TRANSACTION, SAVEPOINT, etc.
Q. What is a Parameter in Tableau? Give an Example.
Ans. A parameter is a dynamic value that a customer could select, and you can use it to replace constant values in calculations, filters, and reference lines.
For example, when creating a filter to show the top 10 products based on total profit instead of the fixed value, you can update the filter to show the top 10, 20, or 30 products using a parameter.
Sana özel BTC ve DOGE kutuları seni bekliyor! Her gün en verimli airdroplar ve hediye kodları burada — ilk gelen kazanır. Kazancını artırmak, yeni fırsatları kaçırmamak için şimdi katıl. Sadece en hızlı olanlara özel avantajlar burada! Anadolu Boxes’ya uğra ve hediyeni kaçırma.
#ad InsideAds
𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 😍
𝗟𝗲𝗮𝗿𝗻 𝗖𝗼𝗱𝗶𝗻𝗴 & 𝗚𝗲𝘁 𝗣𝗹𝗮𝗰𝗲𝗱 𝗜𝗻 𝗧𝗼𝗽 𝗠𝗡𝗖𝘀
Eligibility:- BE/BTech / BCA / BSc
🌟 2000+ Students Placed
🤝 500+ Hiring Partners
💼 Avg. Rs. 7.4 LPA
🚀 41 LPA Highest Package
𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼👇:-
𝗢𝗻𝗹𝗶𝗻𝗲 :- https://pdlink.in/4hO7rWY
🔹 Hyderabad :- https://pdlink.in/4cJUWtx
🔹 Pune :- https://pdlink.in/3YA32zi
🔹 Noida :- https://linkpd.in/NoidaFSD
( Hurry Up 🏃♂️Limited Slots )
