1️⃣ Clean Data for Analysis
Learn strategies to handle missing values and prepare datasets.
2️⃣ Calculate Priority Scores
Understand how to evaluate and rank features based on multiple metrics.
3️⃣ Visualize Data Trends
Explore methods to create charts and plots for data insights.
4️⃣ Analyze Time Series Data
Gain skills in resampling and interpreting temporal data effectively.
Students who are interested in learning data analysis techniques to enhance their understanding of real-world projects and improve their problem-solving skills.
Individuals looking to start a career in data analysis, who want to understand how to clean data, calculate scores, and visualize findings for practical applications.
Teams working on product features who need to prioritize user feedback efficiently for development planning and decision-making.
Teachers or trainers who wish to incorporate data analysis skills into their curriculum, providing students with essential tools for future careers.
This project focuses on prioritizing feature requests using data analysis techniques in Python, designed to help product teams make informed decisions in a resource-limited environment. You'll navigate through real-world scenarios that combine data cleaning, score calculation, and visualization to identify trends in user feedback.
Clean Data for Analysis
Calculate Priority Scores
Visualize Data Trends
Analyze Time Series Data
This project is designed for a wide audience, especially product development teams and aspiring data analysts. If you're someone looking to prioritize feature requests in your product or want to enhance your data analysis skills, this project is for you! High school students interested in real-world applications and educators wanting to teach data analysis will also find it valuable.
No prior experience is necessary! Whether you're new to programming or have some background in Python, you can jump right into this project. We'll guide you through data cleaning, score calculation, and visualization step-by-step, so there's no need to worry!
By learning to prioritize feature requests through data analysis, you’ll develop skills that are essential in many business fields. For professionals, these skills can significantly boost your resume, making you more attractive to employers in tech, product management, and data analytics roles.
Enki's AI Mentor is like having a personal tutor right beside you! If you ever get stuck or confused while working on the project, just ask the AI for help. It provides tips, explanations, and hints to help you understand concepts clearly, making your learning experience more enjoyable.
Once you sign up on Enki, you can access all project materials and resources immediately. You can learn at your own pace and refer back to materials whenever you need a refresher!
You can start with a 7-day free trial, allowing you to explore all features. After that, you can opt for a monthly subscription at $25 or an annual plan for $120. Both options give you unlimited access to all learning materials, including this project and the AI Mentor.
