Data Analysis with Python, Pandas and Numpy Training Course
Python is a flexible programming language recognized for its simplicity and readability. Pandas is a Python library that offers data structures designed for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data. NumPy provides essential support for numerical computing through its array operations. Together, they create a powerful ecosystem for efficient data handling and analysis in Python.
This instructor-led, live training (available online or onsite) targets intermediate-level Python developers and data analysts who want to improve their skills in data analysis and manipulation using Pandas and NumPy.
By the end of this training, participants will be able to:
- Configure a development environment that includes Python, Pandas, and NumPy.
- Build a data analysis application using Pandas and NumPy.
- Execute advanced data wrangling, sorting, and filtering operations.
- Perform aggregate operations and analyze time series data.
- Visualize data using Matplotlib and other visualization libraries.
- Debug and optimize their data analysis code.
Course Format
- Interactive lectures and discussions.
- Ample exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to make arrangements.
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 developers
- Data analysts
Open Training Courses require 5+ participants.
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Testimonials (1)
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
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