Master Numpy Foundation and Practice Challenging Exercises Course includes 8.5 hrs video content and enrolled by 4K+ students and received a 4.3 average review out of 5. Now, Course instructor offering 100%OFF on the original price of the course and its limited time offer. Enroll the course before the coupon expired Once you’re enrolled for the course, you can start it whenever and complete it at your own pace. it will never expire on your account.
What you’ll learn
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Learn Python Basics for Data Science
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Learn Numpy
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60 challenging exercises in Numpy along with hints and solution files with explanation text for strong practice
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20 exercises in Python along with hints and solution files with explanation text for practice
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Extensive and challenging quiz along with explanation for answers for all 350 questions
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Understand Key Statistics concepts
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Learn elaborately on how to implement key statistics concepts in Numpy
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Understand Key Linear Algebra concepts
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How to use numpy to implement key linear algebra concepts
Who this course is for:
- Beginners of Data Science
- Students or anyone interested towards Data Science career path
- Existing Software Programmers who want to shift to Data Science career
Can I download Master Numpy Foundation and Practice Challenging Exercises course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Master Numpy Foundation and Practice Challenging Exercises course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
