Introduction to Data Analysis and Visualization
When
3 to 4 p.m., Jan. 31, 2023
3 to 4 p.m., Feb. 7, 2023
3 to 4 p.m., Feb. 14, 2023
3 to 4 p.m., Feb. 21, 2023
3 to 4 p.m., Feb. 28, 2023
3 to 4 p.m., March 7, 2023
3 to 4 p.m., March 14, 2023
3 to 4 p.m., March 21, 2023
3 to 4 p.m., March 28, 2023
3 to 4 p.m., April 4, 2023
3 to 4 p.m., April 11, 2023
3 to 4 p.m., April 18, 2023
3 to 4 p.m., April 25, 2023
Python is one of the popular languages used by many data scientists for various applications. Python provides great functionality to work in mathematics, statistics, machine learning, data visualization and scientific computing. It has a wide collection of libraries to support data science applications.
In this workshop we will cover the following topics:
- Python’s basic libraries
- Jupyter Notebooks
- Numpy & SciPy libraries
- Pandas library for Data Analysis
- Matplotlib & Seaborn libraries for Data Visualization
- Low code Exploratory Data Analysis
- Practical Statistics
- Time Series Analysis
Contacts
Carlos Lizarraga