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If you’re considering a career in the data industry, learning Python can be very helpful. But there’s a lot to learn, from the basics of Python programming to data analysis, machine learning, and cracking coding interviews. So how can you find the best resources to learn it all?
To help you out, we’ve compiled a list of courses that will help you master Python for data science. Whether you’re a beginner or a seasoned professional looking to refresh your Python skills, these courses are perfect for you. Recommended courses will help you learn:
- Python basics
- Python data science library
- Data analysis and machine learning using Python
- Data structures and algorithms using Python
let’s start.
Mosh’s Python for Beginners course will help you become familiar with the absolute basics of Python programming.
In about an hour, you’ll be able to understand and do the following basics:
- variable
- Receiving input
- type conversion
- string
- Operators and operator precedence
- If statement
- While loops and for loops
- lists and tuples
Link: Python for Beginners
Once you understand the basics, take this intermediate Python programming course. This course begins by explaining various Python built-in data structures. Then move on to more advanced features of the language.
Topics covered in this course include:
- Python built-in data structures
- collection
- iter tools
- lambda function
- exceptions and errors
- logging
- Working with JSON
- Random number generation
- decorator
- Generator
- Multithreading and multiprocessing
- function arguments
- shallow copy and deep copy
- context manager
Link: Intermediate Python Programming
Once you have a good understanding of Python, you can learn about the various Python data science libraries.
freeCodeCamp’s Data Analysis with Python certification helps you learn all the Python data science libraries you need.
- Numpy
- panda
- matte plot rib
- seabourn
You can also build some data analysis projects. This must be completed to earn the Data Analysis with Python certification.
Link: Data Analysis with Python Certification
You should now be familiar with programming with Python and working with the Python data science library. And now you can start exploring machine learning.
Machine Learning with Python and Scikit-Learn helps you learn about 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 machine learning projects, and 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 Machine with XGBoost
- Machine learning project from scratch
- Deploy machine learning projects using classes
Link: Machine Learning with Python and Scikit-Learn
In the data science interview process, you must first pass the coding interview in order to move on to the next stage. To solve them and make your coding practice sessions more effective, you must first establish a strong foundation in algorithmic data structures.
Python Data Structures and Algorithms is a free course that helps you learn important data structures and algorithms with a focus on Python.
Just get the structure. This data structure uses an algorithm to obtain the score. This Data Structures and Algorithms Sports will help you learn the following topics:
- Binary search, linked lists, complexity
- Binary search trees, traversal, recursion
- Hashtables and Python dictionaries
- Sorting algorithm, divide and conquer
- Recursion and dynamic programming
- graph algorithm
- Python interview questions, tips and advice
Link: Python data structures and algorithms
We hope you find these courses useful. We’ve compiled a list of courses that are comprehensive and will help you become proficient with Python for data science.
If I recall, there were courses starting with the basics of Python programming and ending with data analysis and machine learning using Python. It also includes a course that helps you learn the basics of algorithmic data structures in preparation for coding interviews. Have fun learning and coding!
Rose Priya C I’m a developer and technical writer from India. She loves working at the intersection of math, programming, and data. She loves working at the intersection of science and content creation. Her interests and expertise include DevOps, data science, and natural language processing. She loves reading, writing, coding, and coffee. Currently, she is committed to learning and sharing her knowledge with the developer community by creating tutorials, how-to guides, opinion articles, and more.
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