Using NumPy for array and matrix math in Python. Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.

Seaborn is an easy-to-use data visualization library in Python. Installation is simple with PIP or Mamba, and importing datasets is effortless. Seaborn can quickly create histograms, scatter plots ...

Jan 21, 2019 - Feb 8, 2019 | 7:00 PM - 10:00 PM Add to Calendar 21-01-2019 19:00 08-02-2019 22:00 America/Toronto Data Visualization with Tableau, R and Python Course ABOUT THE COURSE Data science ...

There are many tools to perform data visualization, such as Tableau, Power BI, ChartBlocks, and more, which are no-code tools. A beginner’s guide to data visualization with Python and Seaborn ...