This course offers 11 hours of HD video lectures, detailed code notebooks, 3 guided practice projects, based on multiple real-world datasets . Use Python data analysis libraries (Pandas, Scikit-learn, Seaborn) Create data visualizations in Python . Use JupyterLab/JUPyter Notebook to help students learn from scratch how to analyze data efficiently in Python. The course will guide you to learn how to use Python for data analysis. The course includes lectures and guided projects based on real world datasets . The course is designed to teach students to understand Python’s role in data analysis and visualizing data .
What you’ll find out in Python for Information Analysis: detailed with tasks
- How to make use of Python for information analysis
- Get to an intermediate degree of Python
- Experience analyzing real-world datasets in lectures as well as guided projects
- Utilize Python data evaluation collections (Pandas, Scikit-learn, Seaborn)
- Import, examine, export information in Python
- Manipulate information
- Clean information
- Change information
- Compute recap stats
- Produce data visualizations in Python
- Usage JupyterLab/Jupyter Notebook
Description
Welcome to your Python for data evaluation course!
This course uses 11 hours of HD video clip talks, detailed code notebooks, 3 led method tasks, based upon numerous real-world datasets.
This course will certainly guide you to gain from scratch just how to analyze information successfully in Python.
By following this program, you’ll acquire useful experience analyzing real-world datasets. To ensure that by the end, you’ll be able to conduct your very own evaluation with Python, and essence important insights that can change your business!
What are the design concepts of the program?
Who this course is for:
- Anyone who wants to learn about Python/data analysis, in a practical way
- Anyone interested in starting their journey into data science!
| File Name : | Python for Data Analysis: step-by-step with projects free download |
| Content Source: | udemy |
| Genre / Category: | Development |
| File Size : | 6.48 gb |
| Publisher : | Lianne and Justin (Just into Data) |
| Updated and Published: | 07 Jul,2022 |
