Unlock the full potential of Python for data science with this comprehensive bootcamp, designed for beginners and experienced coders alike. Dive into seven meticulously crafted courses covering everything from basic Python programming to advanced machine learning techniques using Pandas, Numpy, Matplotlib, Seaborn, Plotly, and Scikit-learn with 3 Complete Data Science Projects. Gain hands-on experience with three real-world projects, ensuring you can apply your knowledge effectively. Whether aiming for a career in data science or enhancing current skills, this 7-hour journey transforms beginners into confident Python practitioners. Get ready to master data analysis, visualization, and predictive modeling with this all-inclusive Python Data Science Bootcamp.
Datasets for the projects:
Data Analysis Project - [ Ссылка ]
Machine Learning Project- [ Ссылка ]
Machine Learning II Project - [ Ссылка ]
Some other videos I published:
Python PySpark Big Data Analytics Course: [ Ссылка ]
Python Polars Big Data Analytics Course: [ Ссылка ]
Python Plotly Data Visualization Course: [ Ссылка ]
Python Data Analysis Project: [ Ссылка ]
Python Machine Learning Project: [ Ссылка ]
Python Data Science Project: [ Ссылка ]
MySQL Course: [ Ссылка ]
Playlists:
Learning Data Science in 2024: [ Ссылка ]
Courses: [ Ссылка ]
Data Science projects: [ Ссылка ]
Data Analysis videos: [ Ссылка ]
Machine Learning videos: [ Ссылка ]
Data Interview Exercises (Questions & Answers): [ Ссылка ]
I share Data Science content on Instagram: [ Ссылка ]
Join to the data discord server:
[ Ссылка ]
My website: [ Ссылка ]
Chapters:
00:00:00 Introduction
00:00:32 Python Programming Course
01:28:00 Data Analysis: Pandas Course
02:54:02 Data Analysis: NumPy Course
03:05:26 Data Visualization: Matplotlib Course
03:26:22 Data Visualization: Seaborn Course
03:37:38 Data Visualization: Plotly Course
04:39:40 Data Analysis Project (Dataset is in description)
05:03:12 Machine Learning: Scikit-learn Course
06:10:41 Machine Learning Project (Dataset is in description)
06:47:27 Machine Learning Project II (Dataset is in description)
07:28:45 Outro
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