8-week advanced Python learning plan for data scientists

 8-week advanced Python learning plan for data scientists

Week 1

Learn the basics of Python, including variables, data types, operators, control flow, functions, and modules.
Practice writing Python code by completing exercises and working on projects.

Week 2

Learn about data structures in Python, such as lists, dictionaries, and sets.
Learn about functions in Python, including how to define and use user-defined functions.
Practice writing Python code that uses data structures and functions.

Week 3

Learn about object-oriented programming in Python.
Learn about classes, objects, and inheritance in Python.
Practice writing Python code that uses object-oriented programming.

Week 4

Learn about the NumPy library in Python.
Learn about arrays, matrices, and linear algebra in Python.
Practice writing Python code that uses the NumPy library.

Week 5

Learn about the Pandas library in Python.
Learn about dataframes, data wrangling, and data analysis in Python.
Practice writing Python code that uses the Pandas library.

Week 6

Learn about the Scikit-Learn library in Python.
Learn about machine learning algorithms in Python.
Practice writing Python code that uses the Scikit-Learn library.

Week 7

Learn about the Spark library in Python.
Learn about big data processing and analytics in Python.
Practice writing Python code that uses the Spark library.

Week 8

Complete a capstone project that uses Python to solve a real-world data science problem.
This is just a suggested plan, and you may need to adjust it based on your own needs and interests. However, this plan should give you a good foundation in advanced Python for data science.
In addition to the above, you should also make sure to practice regularly and to work on projects that are challenging but not too difficult. This will help you to solidify your knowledge and to develop your skills.
Finally, don't be afraid to ask for help if you get stuck. There are many resources available online and in libraries, and there are also many people who are willing to help you learn. #pythonprogramming #machinelearning #Hadoop

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