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Data analysis is an inevitable skill in the realm of data that's trending today, and the most in-demand programming language for such a skill is Python.
Whether you're just getting started or looking to give your skills a real boost, there are many courses to help you master data analysis in Python. Here are some of the best courses to count on for the journey.
The IBM Data Science Professional Certificate on Coursera is an all-encompassing program that covers aspects of data science, including Python-based data analysis. It's perfect for beginners as well and features hands-on projects to apply what you have learned. Through this, you will gain proficiency in Python, data visualization, and machine learning, all of which will make it the perfect option for the would-be data analyst.
Coursera offers this specialization on Applied Data Science with Python, in which the University of Michigan trains its students on applied data science using Python. It includes five courses, spreading from data visualization, machine learning, text analysis to social network analysis. It suits best for one who would like to get more in-depth knowledge in data analysis and apply it to real-world problems.
The career track of data scientist with Python in DataCamp includes quite a few courses, and if one or another doesn't have such a career in data science, he or she certainly gets the task. After all, he or she will receive skills in Python programming, data manipulation, data visualization, and machine learning - with interactive coding practice in the browser.
"Python for Data Science" by UC San Diego on edX is part of the MicroMasters program in Data Science. The course explains the basics of Python programming and data analysis, which include data wrangling, visualization, and statistical analysis. It is a great learning course for first-timers and lays a fantastic foundation for advanced learning.
Python Basics for Data Science is another course on edX, with a focus on those who are new to programming and data science. Here, one learns the basic foundations of Python, in addition to an introduction to the use of data libraries, particularly Pandas and Matplotlib in the analysis of data. This course will really get you started with this subject.
One of the most popular courses on Python is Udemy's "Complete Python Bootcamp." Although it deals with lots of material on every aspect of Python, it has sections dedicated to data analysis and visualization. The course applies for beginners as well as those who want to refresh their knowledge about Python. Hand-on projects and quizzes help practice what you learn and reinforce learning so that you can apply your skills practically.
This is DataCamp's "Introduction to Python for Data Science," which is more introductory, teaching fundamental skills in Python programming and data analysis. It teaches how to work with data structures, manipulate data, and visualise information using libraries such as Pandas and Matplotlib. It is an excellent starter course for newcomers in the field of data science.
This is a course in learning by Udemy, which addresses data science and machine learning through the use of Python. The concepts discussed in this course are comprehensive data analysis, visualization, and machine learning algorithms. Its coverage includes real-world examples with practice applications, so both beginners and users who want to broaden their knowledge on data science can find it fit.
LinkedIn Learning, there's "Master Python for Data Science, covering the fundamentals in Python for data analysis." It will include data manipulation, visualization, and statistical analysis. With LinkedIn Learning, you have the flexibility to learn at your own pace, making use of all the other resources.
The "Python Data Science Handbook" by Jake VanderPlas is no course but an excellent book about learning how to use Python in data analysis. Various topics are covered-ranging from data manipulation and visualization to machine learning. It serves as an important reference for both beginners and professionals aiming to expand their reservoir of knowledge.
All these avenues in business, finance, healthcare, and technology are opening up with learning data analysis with Python. The courses enumerated above will be outstandingly beneficial to understand the procedural approach to mastering data analysis in Python. Whether you are novice or you want to enhance your skills, an understanding and hands-on experience in these courses is going to prove valuable.
