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Preparing for a SQL interview?

Focus on mastering these essential topics:

1. Joins: Get comfortable with inner, left, right, and outer joins.
Knowing when to use what kind of join is important!

2. Window Functions: Understand when to use
ROW_NUMBER, RANK(), DENSE_RANK(), LAG, and LEAD for complex analytical queries.

3. Query Execution Order: Know the sequence from FROM to
ORDER BY. This is crucial for writing efficient, error-free queries.

4. Common Table Expressions (CTEs): Use CTEs to simplify and structure complex queries for better readability.

5. Aggregations & Window Functions: Combine aggregate functions with window functions for in-depth data analysis.

6. Subqueries: Learn how to use subqueries effectively within main SQL statements for complex data manipulations.

7. Handling NULLs: Be adept at managing NULL values to ensure accurate data processing and avoid potential pitfalls.

8. Indexing: Understand how proper indexing can significantly boost query performance.

9. GROUP BY & HAVING: Master grouping data and filtering groups with HAVING to refine your query results.

10. String Manipulation Functions: Get familiar with string functions like CONCAT, SUBSTRING, and REPLACE to handle text data efficiently.

11. Set Operations: Know how to use UNION, INTERSECT, and EXCEPT to combine or compare result sets.

12. Optimizing Queries: Learn techniques to optimize your queries for performance, especially with large datasets.

Here you can find essential SQL Interview Resources👇
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v

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✅ Basic SQL Commands Cheat Sheet 🗃️

⦁  SELECT — Select data from database
⦁  FROM — Specify table
⦁  WHERE — Filter query by condition
⦁  AS — Rename column or table (alias)
⦁  JOIN — Combine rows from 2+ tables
⦁  AND — Combine conditions (all must match)
⦁  OR — Combine conditions (any can match)
⦁  LIMIT — Limit number of rows returned
⦁  IN — Specify multiple values in WHERE
⦁  CASE — Conditional expressions in queries
⦁  IS NULL — Select rows with NULL values
⦁  LIKE — Search patterns in columns
⦁  COMMIT — Write transaction to DB
⦁  ROLLBACK — Undo transaction block
⦁  ALTER TABLE — Add/remove columns
⦁  UPDATE — Update data in table
⦁  CREATE — Create table, DB, indexes, views
⦁  DELETE — Delete rows from table
⦁  INSERT — Add single row to table
⦁  DROP — Delete table, DB, or index
⦁  GROUP BY — Group data into logical sets
⦁  ORDER BY — Sort result (use DESC for reverse)
⦁  HAVING — Filter groups like WHERE but for grouped data
⦁  COUNT — Count number of rows
⦁  SUM — Sum values in a column
⦁  AVG — Average value in a column
⦁  MIN — Minimum value in column
⦁  MAX — Maximum value in column

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🔰 Arithmetic operations in numpy arrays

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Citi
Position: Business Analytics Analyst
Qualification: Bachelor’s/ Master’s Degree
Experience: Freshers/ Experienced
Location: Bengaluru, India (Hybrid)

📌Apply Now: https://jobs.citi.com/job/bengaluru/business-analytics-analyst-aml/287/96604341728

Data Analytics Roadmap
|
|-- Fundamentals
|   |-- Mathematics
|   |   |-- Descriptive Statistics
|   |   |-- Inferential Statistics
|   |   |-- Probability Theory
|   |
|   |-- Programming
|   |   |-- Python (Focus on Libraries like Pandas, NumPy)
|   |   |-- R (For Statistical Analysis)
|   |   |-- SQL (For Data Extraction)
|
|-- Data Collection and Storage
|   |-- Data Sources
|   |   |-- APIs
|   |   |-- Web Scraping
|   |   |-- Databases
|   |
|   |-- Data Storage
|   |   |-- Relational Databases (MySQL, PostgreSQL)
|   |   |-- NoSQL Databases (MongoDB, Cassandra)
|   |   |-- Data Lakes and Warehousing (Snowflake, Redshift)
|
|-- Data Cleaning and Preparation
|   |-- Handling Missing Data
|   |-- Data Transformation
|   |-- Data Normalization and Standardization
|   |-- Outlier Detection
|
|-- Exploratory Data Analysis (EDA)
|   |-- Data Visualization Tools
|   |   |-- Matplotlib
|   |   |-- Seaborn
|   |   |-- ggplot2
|   |
|   |-- Identifying Trends and Patterns
|   |-- Correlation Analysis
|
|-- Advanced Analytics
|   |-- Predictive Analytics (Regression, Forecasting)
|   |-- Prescriptive Analytics (Optimization Models)
|   |-- Segmentation (Clustering Techniques)
|   |-- Sentiment Analysis (Text Data)
|
|-- Data Visualization and Reporting
|   |-- Visualization Tools
|   |   |-- Power BI
|   |   |-- Tableau
|   |   |-- Google Data Studio
|   |
|   |-- Dashboard Design
|   |-- Interactive Visualizations
|   |-- Storytelling with Data
|
|-- Business Intelligence (BI)
|   |-- KPI Design and Implementation
|   |-- Decision-Making Frameworks
|   |-- Industry-Specific Use Cases (Finance, Marketing, HR)
|
|-- Big Data Analytics
|   |-- Tools and Frameworks
|   |   |-- Hadoop
|   |   |-- Apache Spark
|   |
|   |-- Real-Time Data Processing
|   |-- Stream Analytics (Kafka, Flink)
|
|-- Domain Knowledge
|   |-- Industry Applications
|   |   |-- E-commerce
|   |   |-- Healthcare
|   |   |-- Supply Chain
|
|-- Ethical Data Usage
|   |-- Data Privacy Regulations (GDPR, CCPA)
|   |-- Bias Mitigation in Analysis
|   |-- Transparency in Reporting

Free Resources to learn 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://datacamp.pxf.io/vPyB4L

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://t.me/excel_data

https://www.w3schools.com/EXCEL/index.php

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American Express
Position: Analyst - Risk Management
Qualifications: Bachelor’s/ Master’s Degree
Experience:  Freshers/ Experienced
Location: India (Hybrid)

📌Apply Now: https://careers.americanexpress.com/en/sites/CX_1/job/26009856?location=India&keyword=Analyst-Risk+Management&intlink=us-amex-career-en-us-search

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HP is hiring
Position: Financial Analyst
Qualification: Bachelor’s Degree
Experience: 1-2 (Years)
Location: Bangalore, India

📌Apply Now: https://apply.hp.com/careers/job/38952213?domain=hp.com&hl=en

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Colgate
Position: Analyst, Business Analytics
Qualification: Bachelor’s/ Master’s Degree/ MBA
Experience: Freshers/ Experienced
Location: Remote/ Office

📌Apply Now: https://jobs.colgate.com/job/Analyst-%2C-Business-Analytics/174376-en_US

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⏳ Start Learning Today & Upgrade Your Career!

ABB is hiring Junior Data Scientist 🚀

Experience : 0-2 Years
Location : Bangalore

Apply link : https://careers.abb/global/en/job/ABB1GLOBALJR00038803EXTERNALENGLOBAL/Junior-Data-Scientist?utm_source=linkedin&utm_medium=phenom-feeds&source=LinkedIn

The Souled Store is hiring Data Analyst 🚀

Experience : 2 Years
Location : Mumbai

Apply link : https://www.linkedin.com/jobs/view/4430055762/

Honeywell is hiring Data Scientist 🚀

Experience : 0-1 Year
Location : Bangalore

Apply link : https://ibqbjb.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/Honeywell/job/149401?utm_medium=jobboard&utm_source=linkedin

Minimalist is hiring BI Analyst 🚀📈

Experience : 0-1 Year
Location : Jaipur

Apply link : https://www.linkedin.com/jobs/view/4429818535/

JPMorgan is hiring
Position: Analyst, Financial Reporting
Qualification: Bachelor's Degree
Experience: Freshers/ Experienced
Location: Bengaluru, India

📌Apply Link: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/210747001/?keyword=Analyst-+Financial+Reporting&mode=location

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Fractal is hiring Data Analyst 🚀📈

Location : Bangalore

Apply link : https://www.linkedin.com/jobs/view/4433088427/