Interview list for Data Analytics Roles

SQL Essentials:
- SELECT statements including WHERE, ORDER BY, GROUP BY, HAVING
- Basic JOINS: INNER, LEFT, RIGHT, FULL
- Aggregate functions: COUNT, SUM, AVG, MAX, MIN
- Subqueries, Common Table Expressions (WITH clause)
- CASE statements, advanced JOIN techniques, and Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK)

Excel Proficiency:
- Cell operations, formulas (SUMIFS, COUNTIFS, AVERAGEIFS, LOOKUPS)
- PivotTables, PivotCharts, Data validation, What-if analysis
- Advanced formulas, Data Model & Power Pivot

Power BI Skills:
- Data modeling (importing data, managing relationships)
- Data transformation with Power Query, DAX for calculated columns/measures
- Creating interactive reports and dashboards, visualizations

Data Warehousing:
-Concepts of OLAP vs. OLTP
-Star and Snowflake schema designs
-ETL processes: Extract, Transform, Load
-Data lake vs. data warehouse

Cloud Computing for Data Analytics:
-Benefits of cloud services (AWS, Azure, Google Cloud)
-Data storage solutions: S3, Azure Blob Storage, Google Cloud Storage
-Cloud-based data analytics tools: BigQuery, Redshift, Snowflake
-Cost management and optimization strategies

Python Programming:
- Basic syntax, control structures, data structures (lists, dictionaries)
- Pandas & NumPy for data manipulation: DataFrames, Series, groupby
-plotting with Matplotlib, Seaborn for visualization

Statistics Fundamentals:
- Mean, Median, Mode, Standard Deviation, Variance
- Probability distributions, Hypothesis Testing, P-values
- Confidence Intervals, Correlation, Simple Linear Regression

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