- 7th Jan 2024
- 19:20 pm
Learning data analysis using Python programming is a very important coursework in universities, colleges, and also companies. Students and professionals both seek proficiency in performing data analysis using Python programming to get a leap in their careers and courses. There are several online platforms and resources where you can learn Python for data analysis. Here are some popular options:
- Coursera: Platforms like Coursera offer courses from universities and institutions. You can find courses like "Python for Data Science and AI" by IBM, "Data Analysis with Python" by IBM, "Data Analysis with Python" from the University of Michigan, and "Python for Data Science and Machine Learning Bootcamp" from the University of London or other similar courses.
- Udemy: Udemy provides a wide range of Python for data analysis courses such as "Python for Data Science and Machine Learning Bootcamp" by Jose Portilla, "Data Analysis with Python - Zero to Pandas" by Jovian.ml, and many more. Udemy offers wide variety of courses and the students can find one that matches their specific interests and needs.
- edX: edX offers courses from various universities. "Python for Data Science" by UC San Diego or "Data Science MicroMasters" programs are some of the options available for learning Python for data analysis. IBM's "Analyzing Data with Python" and Microsoft's "Python for Data Science" also have very good reviews.
- DataCamp: This platform specializes in data science-related courses. "Intro to Python for Data Science" and "Python Programmer Track" are some of the courses that cover Python for data analysis. DataCamp offers hands-on exercises and engaging video lessons that covers everything from Python basics to advanced data analysis techniques.
- Codecademy: Codecademy has interactive Python courses that cover data analysis. "Data Analysis with Pandas" is one of the courses that focus on utilizing Python for data analysis using Pandas library.
- Kaggle: Apart from hosting data science competitions, Kaggle also provides free micro-courses and kernels (code notebooks) on various topics related to Python for data analysis.
- YouTube: There are numerous YouTube channels offering tutorials and courses on Python for data analysis. Some popular channels include Corey Schafer, Sentdex, and Data School. You can choose to learn free of cost on YouTube.
Additional tips:
- Practice regularly: The best way to learn from any Python course online is to ensure you keep implementing whatever you have learned using a test dataset.
- Work on real-world projects: Apply your skills to practical problems.
- Join online communities: Join communities on social media platforms. You can connect with other learners and seek guidance from Global experts.
- 1-on-1 Tutoring: Seek assistance when needed. You can talk to our Python Assignment Help tutors and get 1-on-1 tutoring and Python Assignment Help.
When selecting an online course, consider factors like your current proficiency level, the course content, reviews, and whether the teaching style aligns with your learning preferences. The course that you do should help you in upgrading your data analysis skillsets.
Author - Radhika
Radhika is a skilled Python programmer with a passion for leveraging technology to solve complex problems. With a solid foundation in Python programming, she specializes in data analysis and application development. Her innovative mindset and attention to detail make her a valuable asset in diverse tech environments.
