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Dask is a free and open-source library for parallel computing in Python. Dask helps you scale your data science and machine learning workflows. Dask makes it easy to work with Numpy, pandas, and Scikit-Learn, but that's just the beginning .
To Register in Course you have to watch at least 30 Second of any lesson
What You'll Learn
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Master parallel data processing using Dask for scalable Python data analysis and machine learning workflows
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Optimize large datasets with Dask for efficient data manipulation, transformation, and analysis in Python
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Integrate Dask seamlessly with pandas, NumPy, and Scikit-Learn for enhanced data science and machine learning projects
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Implement distributed computing techniques in Python to handle big data challenges effectively
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Leverage Dask's capabilities to perform high-performance data analysis and real-time data processing in Python
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Troubleshoot and debug Dask workflows to ensure reliable and scalable data analysis solutions
Course Content
8 Lessons • 32 m total
Scalable Data Analysis in Python with Dask The Course Overview | packtpub com
Scalable Data Analysis in Python with Dask Introduction to Blocked Algorithms | packtpub com
Scalable Data Analysis in Python with Dask Lazy Evaluation | packtpub com
Scalable Data Analysis in Python with Dask Introduction to Dask Dataframes | packtpub com
Scalable Data Analysis in Python with Dask Introduction to Dask Bags | packtpub com
How to Get The Certificate
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You must have an Account on the platform.
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Complete all lessons.
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Watch at least 50% of Lesson Duration.
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Get your Certificate free 🎉 !
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Data Analysis in Python with Dask Course Description
Dask is a free and open-source library for parallel computing in Python. Dask helps you scale your data science and machine learning workflows. Dask makes it easy to work with Numpy, pandas, and Scikit-Learn, but that's just the beginning .
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