At Guru Consulting our “Data Analysis Using Excel and SQL” program is carefully designed for students and professionals who want to enhance their skills in data analysis and database management. This program offers in-depth knowledge and hands-on experience with Excel and SQL, enabling participants to effectively analyse and manage data, create insightful reports, and make data-driven decisions. Suitable for beginners to intermediate-level attendees, the program covers a broad range of topics from data cleaning and visualization to complex queries and database management.

Services 

Excel and SQL are powerful tools for data analysis and business intelligence. They offer versatile solutions for handling and interpreting data. Here are some common tasks where Excel and SQL excel:

• Data Cleaning and Preparation: Use Excel for data cleaning tasks like removing duplicates, handling missing data, and data formatting.
• Data Visualization: Create dynamic charts, graphs, and dashboards in Excel to visualize data trends and patterns.
• Querying Data: Use SQL to retrieve, filter, and aggregate data from relational databases.
• Data Integration: Combine data from multiple sources using SQL queries and Excel’s data import features.
• Reporting: Generate detailed reports in Excel using pivot tables and SQL-generated datasets.
• Data Analysis: Perform statistical analysis and predictive modeling using Excel’s built-in functions and SQL’s analytical capabilities.

Technologies

The combination of Excel and SQL offers a comprehensive toolkit for data analysis. Here are some of the key features and tools commonly used in Excel and SQL for data analysis:

Excel

– PivotTables and PivotCharts: Summarize, analyze, explore, and present your data.

– Excel Functions: Use built-in functions like `VLOOKUP`, `SUMIF`, `INDEX`, `MATCH`, and statistical functions.

– Data Validation: Ensure the accuracy and consistency of data.

– Conditional Formatting: Highlight important data points and trends.

– Macros and VBA: Automate repetitive tasks in Excel.

– Power Query: Import and transform data from various sources.

SQL

– SQL Queries: Retrieve, filter, and aggregate data using `SELECT`, `JOIN`, `WHERE`, `GROUP BY`, and `ORDER BY`.

– Stored Procedures: Create reusable scripts to perform specific tasks.

– Indexes and Keys: Optimize query performance and enforce data integrity.

– Subqueries and CTEs (Common Table Expressions): Handle complex queries and data manipulation.

– Window Functions: Perform calculations across a set of table rows related to the current row.

– Data Types and Constraints: Ensure data integrity and enforce business rules.