My Data Analysis Projects

Listed below are some of the data analysis projects I have personally worked on.

Coursera Course Analysis Using PowerBI

This Power BI project, titled "Courses Analysis", provides a detailed breakdown of Coursera’s course offerings and key performance metrics. The dashboard showcases information such as the total courses available (891), enrollments (81M), certificate types, awarding bodies (154), and the average course rating (4.68). It includes a comprehensive overview of Coursera’s mission, course structure, and certification programs. Users can navigate through different sections, such as course ratings, levels, and awarding bodies, using the interactive navigation pane. The visual elements, including a pie chart on certificate popularity, allow for a clear understanding of Coursera's user engagement and educational reach

HPN Analysis Using PowerBI

This Power BI project is designed for HPN, a health and nutrition company, providing a comprehensive sales and profitability analysis. The dashboard displays key metrics such as ordered quantity (180K), total net sales (£62M+), and total gross profit (£40M). Users can interact with the date range slider to analyze data trends and performance over time. The interface includes quick navigation buttons for detailed views on products, order details, and returns. With an emphasis on data visualization and reporting, the dashboard empowers the business to track sales performance, profitability, and product success efficiently.

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Restaurant Analysis Using Python

Analysis of different world cuisine types, in order to identify the most popular cuisine, the revenue generating restaurants, and when we have the most sales (Weekdays or Weekends).

MSleep Analysis Using R

In this project, I have demonstrated my understanding of Tidyverse in R with one of the inbuilt datasets, the mSleep dataset. A few visualisations were plotted using the gglot package.

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Dashbourd Building Using PowerBI

This project aims to analyse the data on Udemy courses to determine which topics are currently trending and identify potential opportunities for course development. A second aim is to analyse its financial data to identify which ones are the most profitable for instructors, based on factors such as the course price, the number of enrolments, and the course's rating. And the last aim is to analyse the data to determine which factors (e.g., course price, course duration, number of lectures, instructor reputation) have the greatest impact on course popularity and use this information to inform course development and marketing strategies.

Covid-19 Analysis in SQL

I have used SQL also to understand the Covid-19 dataset from January 2020 - March 15,2023. Analyzing the total cases by continent and country, total deaths, total vaccinations administered till date and the percentage of each country’s population that has been fully vaccinated

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COT Report Dashboard in PowerBI

As a Data Analyst/Scientist who also loves to trade the forex market, I created a comprehensive PowerBI dashboard that visualizes the CFTC's Commitments of Traders (COT) report for currencies I like to trade and two precious commodities: gold and silver.

The COT report, published by the Commodity Futures Trading Commission (CFTC), provides a weekly snapshot of market positions held by different types of traders:

📊 Commercial Traders (Hedgers): Corporations and institutions hedging their exposure to price changes.
📊 Non-Commercial Traders (Large Speculators): Hedge funds and large investors trading for profit.
📊 Non-Reportable Positions: Smaller traders below reporting thresholds.

The interactive date range filter allows users to customize their view and track market behavior over time, supporting informed trading decisions through proper risk management and consistency.

HPN Analysis Using PowerBI

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EDX Courses Exploratory Data Analysis Using Tableau

In this project, I have analysed the EDX courses to get insights into their most demanded courses, the types of certificates they offer, the institutions they partner with, etc., and to understand the needs of customers. This was used as part of my market research analysis for a startup e-learning provider.

The data was cleaned in Excel before being imported into Tableau for visualisation.

This dynamic and comprehensive analysis supports decision-making for stakeholders, highlighting popular courses, certification modes, and trends in education delivery.

HR Data Analysis in Tableau

The dashboard covers multiple aspects such as age distribution, employee tenure, salary by department, and employee turnover. Interactive filters for function, city, and gender allow users to customise the analysis for targeted insights. Visualisations include bar charts, line graphs, and area charts that explore relationships between employee age, length of service, and compensation trends over time. With clear observations and data-driven insights, the dashboard helps HR professionals identify workforce patterns and develop effective strategies for talent management and retention.

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