Learn Python for data science from scratch in this comprehensive 12-hour course. Master essential programming basics, Python syntax, and data structures before diving into powerful libraries like NumPy, Pandas, and Matplotlib. Practice hands-on coding throughout, culminating in a COVID-19 trend analysis project. Ideal for beginners, this course covers everything from installation and Jupyter Notebooks to advanced data manipulation and visualization techniques. Gain practical skills in data analysis, statistical computing, and creating impactful visualizations using Python's most popular data science tools.
Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)
via freeCodeCamp
Overview
Syllabus
Introduction to the Course and Outline.
The Basics of Programming.
Why Python.
How to Install Anaconda and Python.
How to Launch a Jupyter Notebook.
How to Code in the iPython Shell.
Variables and Operators in Python.
Booleans and Comparisons in Python.
Other Useful Python Functions.
Control Flow in Python.
Functions in Python.
Modules in Python.
Strings in Python.
Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries.
The NumPy Python Data Science Library.
The Pandas Python Data Science Python Library.
The Matplotlib Python Data Science Library.
Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries.
Taught by
freeCodeCamp.org
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Reviews
4.2 rating, based on 46 Class Central reviews
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"Python for Beginners in Data Science" on Class Central is an excellent starting point for those new to both Python and data science. The course covers fundamental Python concepts with a clear focus on data manipulation, visualization, and basic machine learning techniques. The lessons are well-structured, making complex topics accessible for beginners. The practical exercises reinforce learning, and the course provides a strong foundation for advancing in data science. However, some prior knowledge of basic programming could be helpful. Overall, it's a valuable resource for anyone looking to enter the field of data science with Python.
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If you're new to python, this course is going to help you a lot, and literally take you from 0-hero. I strongly recommend this course to the beginners. You'll surely enjoy this course and learn Python basics in just a few days.
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this is to testify that I have gained a lot from this course of beginners , this course exposes one to the foundation of python which is a key tool of data science.
if one needs to explore in the field of data science then its almost a requirement not to miss this kind of beginner exposure with class central as the guider.
thanks I appreciate for the knowledge I have acquired and I would like to encourage others to strive to do so.
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Shasank PrinceI have just completed the Python course on the data analysis and it was great indeed. Given that this is the first programming course of this type and I am interested in data, it offered a great grounding. First and foremost, it is necessary to not… -
Shivam KumarBest python course ever The Python course offers a comprehensive introduction to programming, making it ideal for beginners. It covers fundamental concepts like variables, data types, and control structures before progressing to more advanced topics such as functions, modules, and file handling. The curriculum includes hands-on exercises and real-world projects to reinforce learning. The instructors are knowledgeable and provide clear explanations, making complex concepts easy to understand. Additionally, the course emphasizes best practices and coding standards, preparing students for professional development. Overall, it’s a well-structured, engaging, and thorough course that effectively equips learners with essential Python skills. -
Python for Data Science" is a great starting point for beginners. It covers Python basics, data manipulation with pandas, and visualization with Matplotlib. The course is well-structured, with clear explanations and practical examples, making complex concepts easy to understand. It's perfect for those new to data science, offering hands-on exercises that reinforce learning. The pace is manageable, and by the end, you'll have a solid foundation in Python for data analysis. Highly recommended for anyone looking to start their data science journey with Python. -
Suprita MaradiIt's good and understood each and every topics of phyton programming and also some topics are not understood in college but now clearly understood some topics..
It's really nice class to understand the python programming and also good platform to easily understand programming language.I was difficult to clear the some basic concepts which is not clear not cleared but now understood each and every topics of phyton programming..
Thank you sir -
The lessons are well-structured, making complex topics accessible for beginners. The practical exercises reinforce learning, and the course provides a strong foundation for advancing in data science. However, some prior knowledge of basic programming could be helpful. Overall, it's a valuable resource for anyone looking to enter the field of data science with Python.
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Dev ShahFreeCodeCamp's Python for Data Science course is generally well-received within the programming community. FreeCodeCamp is known for offering high-quality educational content, often curated and developed by experts in the field. Here's a review base… -
the course is very good, its easy to understand what is python and how its working ,he given many example in the class to understand how its works, theory class is over now i have to practice ,thank you for classcentral giving the course
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This is very useful course for me because am a (AI&DS) student.The Python course was insightful and well-structured. Clear explanations, practical examples, and hands-on exercises enhanced learning. More advanced topics could be added.
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Very useful and efficient to learn this course.i am grateful and thankful for this course.learning from basics is very important to start your programming skills.consistency in learning makes the people success.
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Ayush KuttarmareIt was a good course. Learned about python libraries : Numpy , Pandas and Matplotlib Library . Hope this will help me in my fute data analytics , Data viuslization and Data Manipulation work .
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Ok but, its was can't show any vedio and not any explanation , but, with this I have learn not such a good things and not to understand there learning
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The course was descriptive and understanding. The project which was explained is really useful and makes me understand how to use it application-based.
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It was an very nice experience in learning in this app and its very easy to figureout the classes,and i liked the teaching and the quality of video is amazing
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Avika Jhait was interesting and good to gain a lot of knowledge. great to learn more about python how does it work and how each part work like numpy and pandas -
Pavithra BathiniThrough this course I learned many things.. And the explanation is so good. Both tha theoretical and practical explanation helped me to learn the topics easily -
SrinathThe course clearly explained the required information for data analysis.
Rather than hurrying up they took their time to make us understand the concepts. -
Gowtham SThe video was so clear about the concepts and explaied i very easy manner, which helps the stuents to understand easily.
