Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Day 1:
Basic Python and Data Analysis Skills Review
Introduction to NumPy
- Creating NumPy arrays
- Common operations on matrices
- Using ufuncs
- Views and broadcasting on NumPy arrays
- Optimizing performance by avoiding loops
- Optimizing performance with cProfile
Data Analysis with Pandas
- Using vectorized data in pandas
- Data wrangling
- Sorting and filtering data
- Aggregate operations
- Analyzing time series
Data Visualization with Matplotlib
- Plotting diagrams with Matplotlib
- Using Matplotlib from within pandas
- Creating quality diagrams
- Visualizing data in Jupyter notebooks
- Other visualization libraries in Python
Day 2:
Other Python Libraries for Data Analysis
- scikit-learn
- Scipy
- statsmodel
- RPy2
Summary and Next Steps
Requirements
- Basic Python and data analysis skills
Audience
- Python developer
- Data analysts
14 Hours
Testimonials (4)
Self-assigned tasks and subsequent collaborative solving
Katarzyna Kopysc-Falenta - CapGemini
Course - Data Analysis with Python, Pandas, and Numpy
Machine Translated
Materials well prepared in terms of theory. Many links to documentation and articles.
Natalia Marszalowicz - CapGemini
Course - Data Analysis with Python, Pandas, and Numpy
Machine Translated
Welcome to the practical part, featuring diverse tasks, engaging datasets, and ease of use in a new environment.
Natasza Nowakowska - CapGemini
Course - Data Analysis with Python, Pandas, and Numpy
Machine Translated
Trainer develops training based on participant's pace
