Python Data Analysis Training
Level
AdvancedDuration
24h / 3 daysDate
Individually arrangedPrice
Individually arrangedPython Data Analysis Training
Thanks to its wide range of modules, extensive support, and ease of integration with web services, Python has become one of the most popular tools in the field of Data Science. Participants of this course will explore two of the most essential libraries – NumPy and Pandas – and learn how to apply them when working with diverse datasets. The training requires a basic knowledge of Python.
What will you learn?
- How to carry out a complete process: from data loading, through transformations, to sharing results.
- A deep understanding of multidimensional arrays in NumPy.
- How to work with tabular data using the Pandas library.
- How to load and integrate data from various sources and automate analysis workflows.
- How to leverage this knowledge as a foundation for machine learning projects.
Who is this training for?
Python developers who want to expand their skills in Data Science.-
Professionals advancing toward machine learning and artificial intelligence.
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Data analysts who need tools to implement and automate their own analyses and algorithms.
Training Program
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Module 1: Computational and Algorithmic Tools – NumPy and SciPy
- Working with numerical data
- Characteristics of NumPy multidimensional arrays
- Using libraries for scientific and engineering computations
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Module 2: Integration with Data Sources
- Working with relational databases (MySQL, PostgreSQL)
- Working with Excel spreadsheets
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Module 3: Fundamentals of Working with Tabular Data – Pandas Library
- Loading data from different sources
- Structure of the Pandas DataFrame object
- Built-in methods for performing common analyses
- Data operations and automation
- Data visualization with Matplotlib and Seaborn
- Exporting results and using reporting tools
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Module 4: Next Steps Toward Machine Learning
- Data cleaning and transformation processes
- Demonstration of how this knowledge applies to Scikit-learn and TensorFlow/Keras
