Data Analysis in Python Training
Level
AdvancedDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedData Analysis in Python Training
With its multitude of modules, versatile support, and ease of integration with web services, Python is one of the most popular tools in the field of Data Science. Participants in this course will learn two of the most essential libraries – NumPy and Pandas – and see how to apply them when working with diverse data. The training requires basic knowledge of the Python language.
What You Will Learn
- Carry out the full process from loading data, through transformations, to sharing results
- Understand the characteristics of NumPy multidimensional arrays
- Work with tabular data using the Pandas library
- Load and integrate data from various sources and automate the analysis process
- Apply acquired knowledge in further Machine Learning work
Who is this training for?
Python programmers who want to expand their competencies in Data Science-
People developing toward Machine Learning and Artificial Intelligence
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Data analysts in need of 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: Basics of Working with Tabular Data – Pandas
- Loading data from different sources
- Structure of a Pandas DataFrame
- Built-in methods for typical 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 process
- Applying acquired knowledge with Scikit-learn
- Applying acquired knowledge with TensorFlow and Keras
