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
显示更多📈 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 52 304 名订阅者,在 教育 类别中位列第 3 375,并在 印度 地区排名第 6 715 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 52 304 名订阅者。
根据 28 十月, 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 -247,过去 24 小时变化为 -12,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 2.31%。内容发布后 24 小时内通常能获得 0.75% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 206 次浏览,首日通常累积 394 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 4。
- 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 29 十月, 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。
52 304
订阅者
-1224 小时
-1157 天
-24730 天
帖子存档
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Quick recap of essential SQL basics 😄👇
SQL is a domain-specific language used for managing and querying relational databases. It's crucial for interacting with databases, retrieving, storing, updating, and deleting data. Here are some fundamental SQL concepts:
1. Database
- A database is a structured collection of data. It's organized into tables, and SQL is used to manage these tables.
2. Table
- Tables are the core of a database. They consist of rows and columns, and each row represents a record, while each column represents a data attribute.
3. Query
- A query is a request for data from a database. SQL queries are used to retrieve information from tables. The SELECT statement is commonly used for this purpose.
4. Data Types
- SQL supports various data types (e.g., INTEGER, TEXT, DATE) to specify the kind of data that can be stored in a column.
5. Primary Key
- A primary key is a unique identifier for each row in a table. It ensures that each row is distinct and can be used to establish relationships between tables.
6. Foreign Key
- A foreign key is a column in one table that links to the primary key in another table. It creates relationships between tables in a database.
7. CRUD Operations
- SQL provides four primary operations for data manipulation:
- Create (INSERT) - Add new records to a table.
- Read (SELECT) - Retrieve data from one or more tables.
- Update (UPDATE) - Modify existing data.
- Delete (DELETE) - Remove records from a table.
8. WHERE Clause
- The WHERE clause is used in SELECT, UPDATE, and DELETE statements to filter and conditionally manipulate data.
9. JOIN
- JOIN operations are used to combine data from two or more tables based on a related column. Common types include INNER JOIN, LEFT JOIN, and RIGHT JOIN.
10. Index
- An index is a database structure that improves the speed of data retrieval operations. It's created on one or more columns in a table.
11. Aggregate Functions
- SQL provides functions like SUM, AVG, COUNT, MAX, and MIN for performing calculations on groups of data.
12. Transactions
- Transactions are sequences of one or more SQL statements treated as a single unit. They ensure data consistency by either applying all changes or none.
13. Normalization
- Normalization is the process of organizing data in a database to minimize data redundancy and improve data integrity.
14. Constraints
- Constraints (e.g., NOT NULL, UNIQUE, CHECK) are rules that define what data is allowed in a table, ensuring data quality and consistency.
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Hope it helps :)
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Topics: SUM, AVERAGE, COUNT, MIN, MAX
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Goal: Make data readable and clean
Topics: Cell formatting, conditional formatting, removing duplicates, data validation
Mini Project: Format and clean a messy dataset
🗓️ Week 4: Logical Functions & Text Functions
Goal: Use logic and manipulate text
Topics: IF, AND, OR, CONCATENATE, LEFT, RIGHT, LEN
Mini Project: Categorize data and extract information from text
🗓️ Week 5: Data Analysis with PivotTables
Goal: Summarize and analyze data quickly
Topics: Creating PivotTables, slicers, filters
Mini Project: Analyze sales data with PivotTables
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Goal: Create impactful visuals
Topics: Bar, line, pie charts, sparklines
Mini Project: Visualize sales or survey data
🗓️ Week 7: Advanced Functions & Lookup
Goal: Work with complex data retrieval
Topics: VLOOKUP, HLOOKUP, INDEX & MATCH
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