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Learning Python is very useful if you are looking to switch to a data career. But there's a lot to learn: from the basics of Python programming to data analysis, machine learning, and coding interviews. So how do you find the best resources to learn them all?
To help you out, we've compiled a list of courses that will help you master Python for data science. Whether you are a beginner or a seasoned professional looking to refresh your Python skills, these courses are for you. The suggested courses will help you learn the following:
- Python Basics
- Python Data Science Libraries
- Data Analysis and Machine Learning with Python
- Data structures and algorithms with Python
Let us begin.
He Python for beginners Mosh's course will help you get familiar with the absolute basics of Python programming.
In about an hour, you'll be able to start running with the following basics:
- variables
- Receiving input
- Type Conversions
- String instruments
- Operators and operator precedence
- Yes statements
- while and for loops
- Lists and tuples
Link: Python for beginners
Now that you know the basics, you can take this Intermediate Python Programming course. This course begins by looking at Python's various built-in data structures. And proceeds to more advanced functions of the language.
Topics covered in this course include:
- Python built-in data structures
- Collections
- itertools
- lambda functions
- Exceptions and errors
- Login
- Work with JSON
- Random number generation
- Decorators
- Generators
- Multithreading and multiprocessing
- Function arguments
- Shallow copy versus deep copy
- Context managers
Link: Intermediate Python Programming
Once you have a good understanding of Python, you can proceed to learn about the various Python data science libraries.
He Data analysis with Python The freeCodeCamp certification will help you learn all the necessary Python data science libraries:
- NumPy
- pandas
- Matplotlib
- born in the sea
You will also be able to create some data analysis projects. Which you must complete to receive the Data Analysis with Python certification.
Link: Python Certified Data Analysis
You should now feel comfortable programming with Python and working with Python data science libraries. And now you can start exploring machine learning.
Machine Learning with Python and Scikit-Learn It will help you learn about theory (how machine learning algorithms work) and implementation of machine learning algorithms with scikit-learn. This course will also learn how to approach and plan machine learning projects, build and deploy machine learning applications.
Here is an overview of the topics covered:
- Linear regression and gradient descent.
- Logistic regression for classification.
- Decision trees and random forests.
- How to tackle machine learning projects
- Gradient Boosting Machines with XGBoost
- Machine learning project from scratch
- Deploy a machine learning project with class
Link: Machine Learning with Python and Scikit-Learn
In the data science interview process, you first need to crack the coding interviews to move on to the next stages. To crack them and make your coding practice sessions more effective, you must first have a solid foundation in data structures in algorithms.
Data structures and algorithms in Python is a free course that will help you learn essential data structures and algorithms, focusing on Python.
Just take a structure of these data structures into algorithm scores. The following sports data structures and algorithms will help you learn the following topics.
- Binary search, linked lists and complexity
- Binary search trees, traversal and recursion.
- Python Hash Tables and Dictionaries
- Sorting algorithms, divide and conquer
- Recursive and dynamic programming.
- Graphic algorithms
- Python Interview Questions, Tips, and Advice
Link: Data structures and algorithms in Python
I hope you find these courses useful. We have put together a list of courses that are comprehensive and will help you master Python for data science.
If you remember, we had courses starting from the basics of Python programming to data analysis and machine learning with Python. We've also included a course to help you learn the fundamentals of data structures in algorithms, to prepare for coding interviews. Happy learning and coding!
Bala Priya C. is a developer and technical writer from India. He enjoys working at the intersection of mathematics, programming, data science, and content creation. His areas of interest and expertise include DevOps, data science, and natural language processing. He likes to read, write, code and drink coffee! Currently, he is working to learn and share his knowledge with the developer community by creating tutorials, how-to guides, opinion pieces, and more.
