Data science is an interdisciplinary field of scientific processes, methods, and systems. It is used to extract insights from data in many forms, either structured or unstructured. With data at its core, it employs an extensive range of methods on the data to extract crucial insights from it.
This was a brief Introduction to Data Science. If you choose to set out on Python for Data Science, we’ve compiled a to-do list for you:
Learn Python for Data Science – The Basics
To step into the world of Python for Data Science, you need to know the basics well. If you haven’t yet begun with Python, reading An Introduction to Python is advisable especially these topics:
Set up Your Machine
To gear up with Python for Data Science, we recommend Anaconda. It is a free open-source distribution of the R and Python programming languages for vast data processing, scientific figuring, and predictive analytics.
Learn Regular Expressions
If you use text data, regular expressions will become accessible with data cleansing. It is the procedure of detecting and correcting inaccurate or corrupt records from a record set, database, or table. It classifies incomplete, inaccurate, incorrect, or irrelevant parts of the data, and then substitutes, amends, or deletes the dirty or rough data.
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Essential Libraries of Python used for Data Science
A library is a pack of pre-existing utilities and objects that you can import into your script to save time and effort. Here, we list the essential libraries that you mustn’t forgot if you want to learn Python for data science.
Projects and Further Learning
To actually get to know a technology and to learn Python for Data Science, you must develop something in it. Begin with issues available on the Internet, and develop your skills. Then, come up with your own problems, and describe and solve them.
Conclusion: Python for Data Science
Through this post on Python for Data Science, we have laid out a roadmap for you to pursue your data science journey. Further, you can also join a Data Science with Python program to kick-start your journey into this promising field.