Welcome to this interesting course where you are going to learn more interesting and knowledgeable stuff where you will learn to scale your data analysis. If you are looking to learn Scalable data analysis in Python with Dask then this course is very much perfect for you. So let's get started.
In this course you are going to learn about the whole overview of the course, their introduction, their importance, their use, their limitations. You will also understand dask arrays, their limitations too. You will also learn how to parallelize python code with Dask.
You are going to work on big datasets by performing data analysis to find the dataset. You’ll also understand how to implement data analysis principles by using different statistical techniques.
Throughout this course you are going to discover various techniques, features, components, modules of Dask. Finally, you’ll learn how to use its unique feature of machine learning by using the Dask ML package.
Your familiarity with Python coding will be helpful for the course though not compulsory.
Data scientists, Machine Learning engineers, Computer Science students, programming enthusiasts, data engineers or anyone who is interested in this field can take this course.
So you shouldn't wait any further for this course as you can see many advantages like you are getting lifetime access to this course and a certificate too which will help in your future interviews. So enroll your name and dive into this course.
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