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Python for Data Science

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Before data can be analyzed, it needs to be clean, structured, and ready for use. This module covers essential data wrangling techniques to handle missing values, remove duplicates, merge datasets,...
  • 8 Lessons
$100.00
In this module, we’ll cover key techniques for data exploration and visualization using Python libraries like Pandas, NumPy, Matplotlib, and Seaborn. You’ll learn how to explore datasets, create visualizations, and...
  • 8 Lessons
$100.00
Working with data starts with knowing how to access, store, and manage it effectively. In this module, we will explore how to load data from different sources like databases, CSV...
  • 8 Lessons
$100.00
In this module, we will explore how to build efficient data pipelines for integrating, transforming, and managing data from various sources. We will cover the fundamentals of RESTful APIs, HTTP...
  • 9 Lessons
$100.00
In this module, we will cover the essentials of machine learning using Python. We will explore key concepts like supervised and unsupervised learning, model selection, and training, along with popular...
  • 9 Lessons
$100.00
This module helps you build the programming foundation needed to follow along with the training. It introduces key Python concepts and tools, making it easier to understand the topics covered...
  • 4 Lessons
$100.00