Udemy – Python for Data Science: From Basics to Advanced in 2025 2025-2

Udemy – Python for Data Science: From Basics to Advanced in 2025 2025-2 Downloadly IRSpace

Aug 16, 2025 - 07:25 Updated: Aug 17, 2025 - 20:02

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Udemy – Python for Data Science: From Basics to Advanced in 2025 2025-2

Python for Data Science: From Basics to Advanced in 2025. This course is a comprehensive data science training program that covers everything from basic concepts to advanced techniques. The course begins with an introduction to data science, its importance, and essential tools like Anaconda, Google Colab, and Git, and then moves on to advanced Excel training for data cleaning, Pivot Tables, and automation with macros. In the Python section, participants will learn about NumPy and Pandas libraries for data analysis, and visualization tools like Matplotlib and Seaborn. They will also learn about data modeling with Power BI and advanced statistical topics like hypothesis testing and inferential analysis. The course will then cover data preprocessing, feature engineering, and machine learning, including supervised and unsupervised models and neural networks. Finally, participants will put their skills to the test in the real world by completing hands-on projects like building a chatbot and classifying images. This course is designed for data science enthusiasts, from beginners to experts, and provides the tools necessary to succeed in this field.

What you will learn

You will understand the core concepts of data science and its applications.
You will set up a professional environment with tools like Anaconda, Google Colab, and Git.
You will master advanced Excel techniques, including formulas, PivotTables, and macros.
You will learn the basics of Python and use libraries like NumPy and Pandas to manipulate data.
You will create static and interactive visualizations using Matplotlib, Seaborn, and Plotly.
You will develop your skills in Power BI to build dynamic dashboards and reports.
You will preprocess, clean, and prepare data for machine learning applications.
You will work on real projects such as chatbot development and image classification.

This course is suitable for people who:

Aspiring data scientists or professionals looking to enter the data science field.
Students and beginners who are eager to learn data science from the ground up.
People preparing for interviews or looking to improve in competitive programming.
Professionals looking to upgrade their skills in data science, visualization, and machine learning.