This badge earner has demonstrated practical skills required to solve real-world data science challenges. The earner has developed core skills in Python and can apply these skills to create applications for data science. The learner has a good understanding of data visualization, and can use Python libraries such as Matplotlib and Seaborn to generate different types of data visualizations such as line plots, scatter plots, bubble plots, area plots, histograms, and bar charts.
Additional DetailsSkills
Earning Criteria
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Receive the specialization certificate from Coursera.
Endorsements
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American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit. It is recommended for a total of 12 college credits. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in data analytics in the lower-division undergraduate category -
American Council on Education
3 semester hours in data visualization in the lower-division undergraduate category -
American Council on Education
3 semester hours in data mining in the lower-division undergraduate category -
American Council on Education
3 semester hours in python for data science in the lower-division undergraduate category