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Numerical Python: NumPy, Matplotlib, and Pandas for Data Science is a self-paced intermediate-level technology online course on GreyAcademy, taught by Kushi sharma. It has 13 modules and 21 chapters, and it takes about 20 hours to complete. Enrol once and learn at your own pace. You get a completion certificate when you finish all the lessons.
Topics covered: Analysis, LINSPACE, EXERCISES, USING SCALARS, ANOTHER WAY TO DO IT, INTRODUCTION, WEIGHTED RANDOM CHOICES, SOLUTIONS TO OUR EXERCISES, M A T R I X M U L T I P L I C A I O N , D O T A N D C R O S S P R O D U C T, FROMFILE, LABELS ON AXES, ADJUSTING THE TICKLABELS and more.
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Numerical Python: NumPy, Matplotlib, and Pandas for Data Science is a intermediate-level technology course covering Analysis, LINSPACE, EXERCISES, taught through short self-paced lessons on GreyAcademy.
Numerical Python: NumPy, Matplotlib, and Pandas for Data Science is a paid course on GreyAcademy. Enrol once and get lifetime access to all lessons.
Yes. Once you complete all lessons (and pass any required assessments) in Numerical Python: NumPy, Matplotlib, and Pandas for Data Science, you can download a verified GreyAcademy certificate with a unique verification code.
Yes, Numerical Python: NumPy, Matplotlib, and Pandas for Data Science is fully self-paced. You can pause, rewind, and revisit any lesson as many times as you need, on any device.
Numerical Python: NumPy, Matplotlib, and Pandas for Data Science is a intermediate-level course. Check the course level above to see if it matches your current experience.
Numerical Python: NumPy, Matplotlib, and Pandas for Data Science takes approximately 20 hours to complete, spread across 21 lessons at your own pace.
All prices include a 18% platform fee
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