Welcome to my journey to become a Data Analyst! In this organization, we will explore different aspects of data analysis and learn to use various fundamental tools and concepts. Here you will find a collection of repositories with projects and exercises covering a wide range of topics related to data analysis.
During our labs, we have worked with several essential tools and concepts for data analysis. Some of the key ones include:
- Python: The widely used programming language in data analysis.
- Pandas: A Python library for data handling and analysis.
- SQL: The language used for managing and manipulating relational databases.
- MongoDB: A NoSQL database system that allows flexible and scalable storage of unstructured or semi-structured data.
- Web Scraping: Techniques for extracting data from websites.
- Statistics: Statistical fundamentals for data analysis.
- Power BI: A tool for data visualization and interactive reporting.
- Tableau: Another popular tool for data visualization and analysis.
- Probability: Concepts and techniques for analyzing uncertainty.
- A/B Testing: Evaluation of the effectiveness of different strategies through controlled experiments.
- Machine Learning: Algorithms and techniques for building predictive and descriptive models.
If you have any questions, comments, or just want to stay in touch, feel free to reach out to me. You can find me on the following channels:
