During the Level 3 Diploma in Data Science qualification, you will be using a variety of software and tools to enhance your learning experience and practical skills. Here is a comprehensive list of the key tools and software you will be utilizing:
| Software/Tool | Description |
|---|---|
| Python | A powerful programming language widely used in data science for data analysis, visualization, and machine learning. |
| R | Another popular programming language for statistical computing and graphics, commonly used in data analysis and visualization. |
| SQL | A standard language for accessing and manipulating databases, essential for data manipulation and querying. |
| Tableau | A powerful data visualization tool that allows you to create interactive and shareable dashboards. |
| Jupyter Notebook | An open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. |
These are just a few examples of the software and tools you will be using during the Level 3 Diploma in Data Science qualification. By mastering these tools, you will be well-equipped to tackle real-world data challenges and excel in the field of data science.