Search result for Best python course on coursera Online Courses & Certifications
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Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. Python More on Strings...
Basic Data Processing and Visualization
by Julian McAuley , Ilkay Altintas- 4.3
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Approx. 11 hours to complete
This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. Course Materials...
Python Fundamentals
by Sanjin Dedic- 4.5
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6 hours on-demand video
Probably the best Python Beginner course on the internet Completing this course will provide you with mastery over these foundations. The course will focus on mastering the following concepts The course incorporates principles known to help humans learn better, namely: multiple perspectives, revision, feedback and real world application....
$12.99
Meaningful Predictive Modeling
by Julian McAuley , Ilkay Altintas- 4.4
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Approx. 9 hours to complete
This course will help us to evaluate and compare the models we have developed in previous courses. By the end of this course you will be familiar with diagnostic techniques that allow you to evaluate and compare classifiers, as well as performance measures that can be used in different regression and classification scenarios. Course Materials...
An Introduction to Interactive Programming in Python (Part 1)
by John GreinerTop Instructor , Stephen WongTop Instructor , Scott Rixner , Joe Warren- 4.8
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Approx. 19 hours to complete
This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera....
Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
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Approx. 20 hours to complete
At the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. Interview: Perspectives on Statistics in Real Life Data Types in Python Course Syllabus Meet the Course Team! Important Python Libraries Tables, Histograms, Boxplots in Python What's Going on in This Graph?...
Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
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Approx. 17 hours to complete
This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. Python Basics About this course...
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An Introduction to Interactive Programming in Python (Part 2)
by Joe Warren , Scott Rixner , John GreinerTop Instructor , Stephen WongTop Instructor- 4.9
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Approx. 16 hours to complete
This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera....
Inferential Statistical Analysis with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.6
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Approx. 19 hours to complete
At the end of each week, learners will apply what they’ve learned using Python within the course environment. During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn....
Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
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Approx. 15 hours to complete
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods....
