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Is Business Analytics Just Charts? My MBA Experience at Siddhant Institute (SIBM) Sudumbare

Posted by Rakesh Men on
Beyond the Bar Chart: Why My MBA at Siddhant Institute Redefined My View of Business Analytics When I first enrolled in the MBA program at Siddhant Institute of Business Management (SIBM), Sudumbare , I had a very narrow view of my major. I thought Business Analytics was essentially a more complex version of creating Excel "pictures"—turning rows of data into colorful pie charts and bar graphs, and using basic formulas to find a mean or median. I quickly realized I was mistaken. In today’s data-driven economy, simply showing a stakeholder that "the mean is X" is useless unless you can explain why it is X and what the business should do about it. My journey at Siddhant, specializing in Business Analytics with a Marketing minor, has taught me that true analytics is a four-tiered architecture of intelligence. The Misconception of the "Mean" In basic statistics, the mean (average) is a starting point. But as I learned in my lectures at SIBM, the mean can be...
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Master SQL Joins and Freelancer Task Queries for Real-World Project Reporting

Posted by Rakesh Men on

Mastering SQL Joins and Task Management Queries: A Freelancer Database Example

When I first started mentoring students and consulting for data projects, I noticed a common challenge: many professionals understand basic SQL but struggle to write queries that combine multiple tables, handle missing data, or filter results dynamically.

To bridge this gap, I often create real-world examples that mimic project scenarios. One example I use involves a freelancer task management database, which demonstrates SQL table creation, joins, and filtering in practice.

This hands-on approach not only helps learners grasp SQL concepts but also demonstrates how I consult with clients on database structuring, reporting, and workflow management.

Setting Up Your Freelancer Database

In our example, we have three tables:

  1. Freelancer – Stores freelancer IDs, first names, and last names.

  2. Task_Category – Defines task types and subtypes (e.g., SQL blogs, Python tutorials, social media posts).

  3. Task – Tracks assigned tasks, their category, assigned freelancer, and important dates (assigned, due, completed).

Here’s a simplified snippet for creating the freelancer table:

CREATE TABLE freelancer ( id INT PRIMARY KEY, first_name VARCHAR(120), last_name VARCHAR(120) ); INSERT INTO freelancer (id, first_name, last_name) VALUES (1, 'Bob', 'Franklin'); INSERT INTO freelancer (id, first_name, last_name) VALUES (2, 'Dionne', 'Ravanelli');

Understanding Table Relationships

The power of SQL comes from joining tables. For example, task links freelancers to specific projects and categories through foreign keys. Properly structuring these relationships allows for efficient queries and reporting.

SELECT F.First_Name, F.Last_Name, T.Title, T.Due_Date, Tc.Task_Type, Tc.Task_Subtype FROM Freelancer F JOIN Task T ON F.id = T.freelancer_id JOIN Task_Category Tc ON T.task_category_id = Tc.id;

This query fetches all freelancers with their assigned tasks and categories. But what if some freelancers haven’t been assigned tasks yet? That’s where LEFT JOIN becomes essential.

Including Freelancers Without Tasks

LEFT JOIN ensures you capture all freelancers, even those without tasks assigned. This is critical for managers or consultants who need comprehensive reporting.

SELECT F.First_Name, F.Last_Name, T.Title, T.Due_Date, Tc.Task_Type, Tc.Task_Subtype FROM Freelancer F LEFT JOIN Task T ON F.id = T.freelancer_id LEFT JOIN Task_Category Tc ON T.task_category_id = Tc.id;

Filtering Projects Due in 2024

To focus on upcoming deadlines, you can filter tasks based on the due date. This is particularly useful for project planning and workload management.

SELECT F.First_Name, F.Last_Name, T.Title, T.Due_Date FROM Freelancer F LEFT JOIN Task T ON F.id = T.freelancer_id WHERE T.Due_Date >= '2024-01-01';

With this query, you can see which freelancers have projects due in 2024, helping both managers and consultants plan resources efficiently.

Why This Matters for Learners and Professionals

By working with real-life examples like a freelancer task management database, learners can:

  • Understand joins and relationships deeply.

  • Practice LEFT JOIN vs INNER JOIN for inclusive or exclusive reporting.

  • Apply date filters to generate actionable insights.

  • Prepare for interviews or client projects with confidence.

For companies, this approach ensures your reports are accurate, scalable, and easily maintainable. And as a consultant, I often help teams design similar solutions for managing projects, tasks, and freelancer workflows.

Final Thoughts

SQL mastery is about writing queries that reflect real business scenarios, not just memorizing syntax. Whether you are learning SQL, preparing for interviews, or working on freelance or enterprise projects, understanding how to combine tables, handle nulls, and filter results effectively will set you apart.

If you need structured guidance, tutoring, or consultancy to design optimized SQL solutions or improve reporting, I work with individuals and teams to help them achieve these goals efficiently.

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