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Data Analyst Interview Resources

Data Analyst Interview Resources

前往频道在 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

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📈 Telegram 频道 Data Analyst Interview Resources 的分析概览

频道 Data Analyst Interview Resources (@dataanalystinterview) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 52 129 名订阅者,在 教育 类别中位列第 3 395,并在 印度 地区排名第 6 615 位。

📊 受众指标与增长动态

自 невідомо 创建以来,项目保持高速增长,吸引了 52 129 名订阅者。

根据 14 十一月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -349,过去 24 小时变化为 -16,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 2.42%。内容发布后 24 小时内通常能获得 0.72% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 260 次浏览,首日通常累积 374 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 2。
  • 主题关注点: 内容集中在 sql, row, |--, dataset, visualization 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
“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”

凭借高频更新(最新数据采集于 15 十一月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

52 129
订阅者
-1624 小时
-857 天
-34930 天
吸引订阅者
11月 '26
十一月 '26
+12
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九月 '26
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七月 '26
+409
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+379
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+254
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三月 '26
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二月 '26
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一月 '26
+640
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十二月 '25
+659
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十一月 '25
+659
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十月 '25
+427
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九月 '25
+246
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八月 '25
+401
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七月 '25
+469
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五月 '25
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四月 '25
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三月 '25
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二月 '25
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一月 '25
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十二月 '24
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+1 546
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+3 515
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+3 098
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+3 203
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三月 '24
+3 843
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二月 '24
+4 138
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一月 '24
+5 712
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十二月 '23
+4 571
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十一月 '23
+1 363
在10个频道中
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十月 '23
+2 129
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九月 '23
+3 835
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日期
订阅者增长
提及
频道
15 十一月0
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✅ Power BI Interview Questions with Answers 1. What is DAX?  DAX (Data Analysis Expressions) is a formula language in Power BI used to create calculated columns, measures, and tables (e.g., SUM(), CALCULATE(), FILTER()) for business logic and KPIs. 2. What is the difference between Power Query and Power Pivot?  • Power Query: used for data loading, cleaning, and transforming (ETL) before loading into the model. • Power Pivot: in‑memory data model and engine for DAX calculations and relationships (used during/after load). 3. What is the difference between measure vs calculated column?  • Measure: calculated at query time, used in visuals (e.g., summaries, ratios). • Calculated column: computed at refresh time, stored in the model (uses more memory). Prefer measures for aggregations. 4. Explain CALCULATE() function.  CALCULATE() changes the context of a calculation by applying filters.  Example: Total Sales = CALCULATE(SUM(Sales[Amount]), Sales[Region] = "West") computes sum only for West region. 5. What are relationships (1:M, M:M)?  • 1:M (one‑to‑many): one row in the “1” table links to many rows in the “M” table (most common). • M:M (many‑to‑many): handled via an intermediate bridge table with foreign keys on both sides. 6. How do you handle many‑to‑many?  Create a bridge table (junction table) that contains foreign keys to both related tables. Then set 1:M relationships from each original table to the bridge. 7. What is row‑level security (RLS)?  RLS restricts which rows a user can see in a report (e.g., by SalesRegion = “UserRegion”). Defined in the model with DAX filter expressions and applied by user roles. 8. How do you setup incremental refresh?  • Mark your tables as “incrementally refreshable” in the model. • Define a date/time column and ranges (e.g., last 3 years full, last 60 days incremental). • Set refresh schedule in the Power BI service with gateways if needed. 9. What is the difference between filters vs slicers?  • Filters: rules applied behind the scenes (e.g., in page/report level filters) that always apply. • Slicers: interactive controls on the report canvas that users click to change what data is shown. 10. What is a data model?  A data model is the structure in Power BI that holds tables, relationships, calculated columns, measures, and hierarchies, forming the semantic layer for reporting. 11. How do you publish and share reports?  • Publish from Power BI Desktop to a workspace in Power BI Service. • Share via apps, workspaces, or by granting access to specific users/groups; use RLS and sharing permissions to control who sees what. 12. What is Performance Analyzer tool?  Performance Analyzer in Power BI Desktop records how long each visual takes to render and which DAX queries run, helping identify slow visuals or large queries. 13. How do you create month‑on‑month growth DAX?  MoM Growth = VAR CurrentSales = [Total Sales]  VAR PreviousSales = CALCULATE([Total Sales], DATEADD('Date'[Date], -1, MONTH))  RETURN  DIVIDE(CurrentSales - PreviousSales, PreviousSales) 14. How do you use custom visuals?  Download a custom visual from the marketplace, add it to the report in Power BI Desktop or Service, then configure like a native visual (fields, formatting, interactivity). 15. What is gateway for refresh?  An on‑premises gateway connects Power BI Service to data sources behind your firewall (e.g., SQL Server, file shares). It enables scheduled refresh for datasets that pull from those sources. 16. What is a .pbix file?  A .pbix file is the Power BI Desktop project file that contains the report layout, queries, data model, and DAX logic. It can be opened in Power BI Desktop or published to the service.
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Excel Basics for Data Analytics Excel sits at the start of most analysis work. What you use Excel for • Cleaning raw data • Exploring patterns • Quick summaries for teams Core concepts you must know • Data setup – Freeze header row. View → Freeze Top Row. – Convert range to table. Ctrl + T. – Use proper headers. No merged cells. One value per cell. • Data cleaning – Remove duplicates. Data → Remove Duplicates. – Trim extra spaces. =TRIM(A2) – Convert text to numbers. =VALUE(A2) – Fix date format. Format Cells → Date. – Handle blanks. Filter blanks, fill or delete. – Find and replace. Ctrl + H. • Essential formulas – Math and counts ▪ SUM. =SUM(A2:A100) ▪ AVERAGE. =AVERAGE(A2:A100) ▪ MIN. =MIN(A2:A100) ▪ MAX. =MAX(A2:A100) ▪ COUNT. Counts numbers. ▪ COUNTA. Counts non blanks. ▪ COUNTBLANK. Counts blanks. – Conditional formulas ▪ IF. =IF(A2>5000,"High","Low") ▪ IFS. Multiple conditions. ▪ AND. =AND(A2>5000,B2="West") ▪ OR. =OR(A2>5000,A2<1000) – Lookup formulas ▪ XLOOKUP. =XLOOKUP(A2,Sheet2!A:A,Sheet2!B:B) ▪ VLOOKUP. Old but common. ▪ INDEX + MATCH. Powerful alternative. – Text formulas ▪ LEFT. =LEFT(A2,4) ▪ RIGHT. =RIGHT(A2,2) ▪ MID. =MID(A2,2,3) ▪ LEN. =LEN(A2) ▪ CONCAT or TEXTJOIN. ▪ LOWER, UPPER, PROPER. – Date formulas ▪ TODAY. Current date. ▪ NOW. Date and time. ▪ YEAR, MONTH, DAY. ▪ DATEDIF. Date difference. ▪ EOMONTH. Month end. • Sorting and filtering – Sort by multiple columns. – Filter by value, color, condition. – Top 10 filter for quick insights. • Conditional formatting – Highlight duplicates. – Color scales for trends. – Rules for thresholds. Example. Sales > 10000 in green. • Pivot tables – Insert → PivotTable. – Rows. Category or Product. – Values. Sum, Count, Average. – Filters. Date, Region. – Refresh after data update. • Charts you must know – Column. Comparison. – Bar. Ranking. – Line. Trends over time. – Pie. Share or percentage. – Combo. Actual vs target. • Data validation – Dropdown list. Data → Data Validation → List. – Prevent wrong entries. • Useful shortcuts – Ctrl + Arrow. Jump data. – Ctrl + Shift + Arrow. Select range. – Ctrl + 1. Format cells. – Ctrl + L. Apply filter. – Alt + =. Auto sum. – Ctrl + Z / Y. Undo redo. • Common analyst mistakes to avoid – Merged cells. – Hard coded totals. – Mixed data types in one column. – No backup before cleaning. • Daily practice task – Download any sales CSV. – Clean it. – Build one pivot table. – Create one chart. Excel Resources: https://whatsapp.com/channel/0029VaifY548qIzv0u1AHz3i Data Analytics Roadmap: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02/1354 Double Tap ♥️ For More
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✅ Top 10 Excel Interview Questions & Answers 📊💼 1️⃣ What is Excel and why is it used? Excel is a spreadsheet program used for organizing, analyzing, and storing data in tabular form. It's widely used for data analysis, reporting, and financial modeling. 2️⃣ Key Excel components? - Ribbon: Main menu - Worksheet: A single sheet - Workbook: A collection of worksheets - Cell: Intersection of a row and column 3️⃣ What are Excel Functions? Predefined formulas that perform specific calculations (e.g., SUM, AVERAGE, IF, VLOOKUP). 4️⃣ VLOOKUP vs. INDEX/MATCH? - VLOOKUP: Searches for a value in the first column and returns a corresponding value. - INDEX/MATCH: More flexible and overcomes VLOOKUP limitations, better for larger datasets. 5️⃣ What are Pivot Tables? Interactive tables that summarize and analyze large datasets, allowing you to easily rearrange and filter data. 6️⃣ Conditional Formatting? Applies formatting (e.g., colors, icons) to cells based on specific criteria, making it easier to identify trends and outliers. 7️⃣ How to remove duplicates? Use the "Remove Duplicates" feature in the Data tab to eliminate redundant rows based on selected columns. 8️⃣ What are Excel Charts? Visual representations of data (e.g., bar charts, line charts, pie charts) that help communicate trends and insights. 9️⃣ How to protect a worksheet? Use the "Protect Sheet" feature in the Review tab to prevent unauthorized changes to the worksheet structure and content. 🔟 What are Macros? Automated sequences of commands that can be recorded and replayed to perform repetitive tasks efficiently. 👍 React ❤️ if you found this helpful!
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