Udemy – Python Data Analyst Bootcamp Process, Analyze and Visualize

This course is designed to teach you the most in-demand Python libraries and tools used by data professionals, making it ideal for aspiring data scientists, analysts, and developers.

What you’ll learn:

Python Basics to Advanced: Starting from the fundamentals, we’ll build a solid foundation in Python, guiding you through key programming concepts and progressing to advanced topics like Object-Oriented Programming (OOP).

NumPy & Pandas: Master the core libraries for fast and efficient data wrangling, manipulation, and analysis. Learn how to work with large datasets, handle missing values, and perform advanced calculations.

Polars: Explore Polars, a fast, scalable DataFrame library. We’ll compare it with Pandas to show how Polars offers faster performance for data manipulation, especially with large datasets.

Data Visualization with Seaborn & Matplotlib: Learn how to visualize data like a pro. From creating simple plots to designing beautiful, interactive charts, you’ll understand how to tell compelling stories with data. We’ll cover everything from basic visualizations to advanced techniques like heatmaps, histograms, and scatter plots.

Git: Master version control with Git. Learn how to track and manage changes in your code, collaborate on projects, and keep your work organized.

Building Dashboards with Streamlit: Learn how to create interactive dashboards using Streamlit and Matplotlib. You’ll build a live project from scratch using real-world data and deploy it for free, showcasing your work to others.

As part of this course, you’ll complete numerous hands-on assignments to practice and reinforce your learning. By the end, you’ll have a complete, deployable dashboard project that you can demonstrate to potential employers or clients.

RAPIDGATOR:
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TURBOBIT:
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