Udemy – Python for Data Science: From Basics to Advanced in 2025
English | Tutorial | Size: 14.4 GB
Master Python programming for data analysis, visualization, and machine learning with real-world projects.
Data science is one of the most in-demand fields of the decade, and this course, Python for Data Science: From Basics to Advanced in 2025, offers an in-depth learning experience that caters to beginners and professionals alike. Covering a broad spectrum of topics, from data analysis to machine learning, this course equips you with the tools and skills needed to excel in the field of data science.
We start with a solid introduction to data science, exploring its significance, workflow, and essential tools and skills required to thrive. You’ll set up your environment with tools like Anaconda, Google Colab, and Git for version control, ensuring you have a seamless start to your journey. Next, we dive into Advanced Excel, where you’ll master data cleaning, pivot tables, formulas, and even macros for automation.
The course transitions into Python for Data Science, where you’ll learn to manipulate data using NumPy and Pandas. Data visualization is a core skill, and you’ll explore Matplotlib, Seaborn, and Plotly to create both static and interactive visualizations.
You’ll also learn to use Power BI for data modeling and creating dynamic dashboards. A thorough Statistics Deep Dive builds your foundation in advanced statistical measures, hypothesis testing, and inferential analysis.
From data preprocessing and feature engineering to machine learning, you’ll explore supervised, unsupervised, and neural network models. Finally, apply your skills with real-world projects like building a chatbot and an image classifier.
This comprehensive course will help you confidently enter the field of data science!
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