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Learning Python is very helpful if you want to change your career to data science. But there’s a lot to learn: from the basics of Python programming to data analysis, machine learning, and solving coding interviews. So how do you find the best sources to learn them all?
To assist you out, we’ve put together a list of courses that will assist you master Python for data science. Whether you’re a beginner or a seasoned professional looking to brush up on your Python skills, these courses are for you. These courses will assist you learn:
- Python basics
- Python Data Science Libraries
- Data Analysis and Machine Learning with Python
- Data Structures and Algorithms in Python
Let’s start.
This Python for beginners The Mosh course will assist you learn the basics of Python programming.
In about an hour you’ll be able to start running by mastering the following basics:
- Variables
- Receiving input data
- Type conversions
- Strings
- Operators and operator precedence
- If the statements
- While and for loops
- Lists and Tuples
To combine: Python for beginners
Now that you know the basics, you can do it Intermediate Python Programming course. This course begins with an overview of the various built-in data structures in Python. And moves on to more advanced features of the language.
Topics covered in this course include:
- Python’s built-in data structures
- Collections
- Iter tools
- Lambda functions
- Exceptions and errors
- Login
- Working with JSON
- Random number generation
- Decorators
- Generators
- Multithreading and multiprocessing
- Function arguments
- Shallow versus deep text
- Context Managers
To combine: Intermediate Python Programming
Once you have a good understanding of Python, you can start exploring the various Python data science libraries.
This Data analysis with Python The freeCodeCamp certification will assist you learn all the indispensable Python libraries for data science:
- NumPy
- Pandas
- Matplotlib
- Seaborn
You will also be able to build several data analysis projects. Which you should complete to get your Data Analysis with Python certification.
To combine: Python certified data analysis
You should now be comfortable programming in Python and working with Python data science libraries. Now you can start exploring machine learning.
Machine learning with Python and Scikit-Learn will assist you learn the theory (how machine learning algorithms work) and implementation of machine learning algorithms using scikit-learn. In this course, you will also learn how to approach and plan a machine learning project, as well as 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 approach machine learning projects
- Gradient boosting machines with XGBoost
- Machine learning project from scratch
- Implementing a Machine Learning Project with Class
To combine: Machine learning with Python and Scikit-Learn
In the data science interview process, you should crack coding interviews first to move on to the next steps. To crack them and make your coding practice sessions more effective, you should first have a solid foundation in data structures in algorithms.
Data structures and algorithms in Python is a free course that will assist you learn basic data structures and algorithms, with a focus on the Python language.
Just take these data structures structures in the results of algorithms, then these data structures and sports algorithms will assist 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
- Recursion and vigorous programming
- Graph algorithms
- Python Interview Questions, Tips, and Tricks
To combine: Data structures and algorithms in Python
We hope you find these courses helpful. We have compiled a list of courses that are both comprehensive and will assist you become proficient in Python for data science.
If you remember, we had courses that started with Python programming basics, all the way to Python data analysis and machine learning. We also included a course that will assist you learn the basics of data structures in algorithms and prepare for coding interviews. Cheerful learning and coding!
Bala Priya C is a software developer and technical writer from India. She enjoys working at the intersection of mathematics, programming, data science, and content creation. Her areas of interest and expertise include DevOps, data analysis, and natural language processing. She enjoys reading, writing, coding, and coffee! She is currently working on educating and sharing her knowledge with the developer community by writing tutorials, guides, reviews, and more. Bala also creates fascinating resource reviews and coding tutorials.