Final Preparation Guide for Data Analytics Interviews: (IMP)

➡Key SQL Concepts:
- Master SELECT statements, focusing on WHERE, ORDER BY, GROUP BY, and HAVING clauses.
- Understand the basics of JOINS: INNER, LEFT, RIGHT, FULL.
- Get comfortable with aggregate functions like COUNT, SUM, AVG, MAX, and MIN.
- Study subqueries and Common Table Expressions.
- Explore advanced topics like CASE statements, complex JOIN strategies, and Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK).

➡Python for Data Analysis:
- Review the basics of Python syntax, control structures, and data structures (lists, dictionaries).
- Dive into data manipulation using Pandas and NumPy, covering DataFrames, Series, and group by operations.
- Learn basic plotting techniques with Matplotlib and Seaborn for data visualization.

➡ Excel Skills:
- Practice cell operations and essential formulas like SUMIFS, COUNTIFS, and AVERAGEIFS.
- Familiarize yourself with PivotTables, PivotCharts, data validation, and What-if analysis.
- Explore advanced formulas and work with the Data Model & Power Pivot.

➡ Power BI Proficiency:
- Focus on data modeling, including importing data and managing relationships.
- Learn data transformation techniques with Power Query and use DAX for calculated columns and measures.
- Create interactive reports and dashboards, and work on visualizations.

➡ Basic Statistics:
- Understand fundamental concepts like Mean, Median, Mode, Standard Deviation, and Variance.
- Study probability distributions, Hypothesis Testing, and P-values.
- Learn about Confidence Intervals, Correlation, and Simple Linear Regression.

I have curated best 80+ top-notch Data Analytics Resources 👇👇
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02

Hope this helps you 😊