Python for Data Science Bootcamp
Want to work with data more effectively? These Python courses cover everything from loading and storing data to transforming, visualizing, and even making predictions with machine learning. You’ll learn how to clean messy datasets, explore data for insights, and automate workflows using real-world techniques. Whether you’re just starting or looking to improve your python skills, this will help you handle data confidently at every stage.
What you'll learn
- Work with structured and unstructured data, read and write different file formats, and use indexing and slicing for better data handling.
- Clean and organize messy data by handling missing values, removing duplicates, and using string manipulation techniques.
- Summarize data, detect patterns, and create clear visualizations using Matplotlib and Seaborn.
- Extract data from websites, automate workflows with ETL processes, and interact with RESTful APIs.
- Understand how machine learning works, choose models, tune hyperparameters, and make predictions using scikit-learn.
- Hands-on Project – Work on a real-world data task to apply and reinforce key concepts.
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...
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4 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...
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8 Lessons
$100.00
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,...
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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...
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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...
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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...
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9 Lessons
$100.00