Python resources to boost your resume
𝟭. 𝗜𝗻𝘁𝗿𝗼 𝘁𝗼 𝗣𝘆𝘁𝗵𝗼𝗻 This a great course to get started with learning Python, if you have no coding experience.
https://kaggle.com/learn/intro-to-programming
𝟮. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗰𝗼𝘂𝗿𝘀𝗲 Learn the fundamentals like functions, loops, conditional statements, etc of the most important language for data science.
https://kaggle.com/learn/python
𝟯. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 Part 1 prepares you for PCEP – Certified Entry-Level Python Programmer Certification. Part 2 prepares you for PCAP – Certified Associate in Python Programming Certification.
https://netacad.com/courses/programming/pcap-programming-essentials-python
𝟰. Python Data Structure and Algorithms
https://t.me/programming_guide/76
𝟱. 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You’ll learn Python fundamentals like variables, loops, conditionals, and functions. Then you’ll quickly ramp up to complex data structures, networking, relational databases, and data visualization.
https://freecodecamp.org/learn/scientific-computing-with-python/
𝟲. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You’ll learn how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
https://freecodecamp.org/learn/data-analysis-with-python/
𝟳. 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You will learn how to implement the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.
https://cognitiveclass.ai/courses/data-visualization-python#about-course
𝟴. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You will build several neural networks and explore more advanced techniques like natural language processing and reinforcement learning.
https://freecodecamp.org/learn/machine-learning-with-python/
9. Practice Python Learn Data Science by completing interactive coding challenges and watching videos by expert instructors.
10. Free Python course by Datacamp In this course, you will learn Python for Data Science through video lessons and interactive exercises. You get your own Python session where you can experiment and try to come up with the correct code to solve the instructions.
https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-1-python-basics?ex=1
