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MBA in Business Analytics and Finance professional with expertise in data analysis and project management. Developed detailed case studies showcasing key achievements and successful outcomes from real-world business analytics projects. Proven skills in strategic business solutions, data-driven decision making, and delivering measurable business impact through advanced analytics and project execution.
Growing a YouTube channel is often a challenging yet rewarding journey, particularly when focusing on specialized themes like spirituality. This Case Study shares the success story of Untold Krishna Katha, a spiritual YouTube channel based in Vrindavan, which achieved an impressive 3x growth.
At the end of July 2024, I took on this project and applied my data analytics expertise to analyze the channel’s YouTube Analytics data. I thoroughly reviewed key metrics, including traffic sources, search keywords, viewer trends, audience activity patterns, and other performance insights. I also created insightful dashboards to visualize the data effectively. By conducting a SWOT analysis and proposing business analytics solutions, I identified areas for improvement and unlocked growth opportunities for the channel.
The feedback form automated data analysis case study is for an institute. The institute offers numerous online courses. The institute provides a feedback form to all participants at the end of the course. This feedback form includes questions about faculty skills, course usefulness, and whether or not sufficient course materials are supplied. The institute asked these kinds of multiple-choice questions. All participating members are expected to complete the feedback form. The feedback form is presented after each course, and the questions are the same each time. After gathering replies from all members, the analysis and visualization are done manually in MS Excel, which can take up to four hours. This project is supervised by a technical officer, and the institute wants software that automatically processes data, analyses it, and visualizes it based on feedback forms.
Today, we’re going to discuss a comparative study of top e-commerce shopping websites in terms of various aspects. We will be comparing which website has how many brands, how many products, the average discount offered, the discount on specific products, the difference in prices for the same product and brand across multiple shopping websites, and the variance between actual and maximum prices. We’re conducting this study to gain insights into the e-commerce landscape and understand how these websites perform relative to each other.
Today, we’re going to discuss a comparative study of top e-commerce shopping websites in terms of various aspects. We will be comparing which website has how many brands, how many products, the average discount offered, the discount on specific products, the difference in prices for the same product and brand across multiple shopping websites, and the variance between actual and maximum prices. We’re conducting this study to gain insights into the e-commerce landscape and understand how these websites perform relative to each other.
On e-commerce shopping websites, we often see two types of prices: a maximum price and an actual price. Today, we’ll look into the relationship between these two prices and see how much difference there is between them. We’re planning to conduct a comparative study on the top 3 websites, exploring various product categories. We’ll analyze the variance between the actual price and the discounted price offered within each category.
Data analysis and statistics are essential skills for anyone who wants to work with data and extract meaningful insights from it. Whether you are a researcher, a business analyst, a data scientist, or a student, you will need to use a programming language that can help you perform various tasks, such as machine learning, statistical modeling, data processing, and data visualization.
In this article, we will compare Python vs R for data analysis on various aspects, such as learning curve, data manipulation, data visualization, statistical analysis, data analysis, machine learning, and more.
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