Certificate In Python NumPy: Scientific Computing with Python Online Course

Fundamental scientific library for Python

Certificate In Python NumPy: Scientific Computing with Python Online Course

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Fundamental scientific library for Python

At the end of this course, you will have a thorough understanding of Numpy' s features and when to use them. Numpy is mainly used in matrix computing. We'll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It's important to know when to choose one over the other. Through rigorous exercises, you'll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful.

  • Express fully why Numpy should be used
  • Ability to install Numpy
  • Understanding of how to use Numpy

 Course Fast Facts:

  1. Learn the fundamentals of Python NumPy: Scientific Computing with Python
  2. Comprehensive  module Accredited Certificate In Python NumPy: Scientific Computing with Python Online Course
  3. Study along with simple instructions & demonstrations
  4. Written and developed by leading Python NumPy experts
  5. Receive one-on-one online help & support
  6. Unlimited, lifetime access to online course
  7. Certificate of completion
  8. Study at your own pace with no rigid class timetables, 24/7 from any computer or smart device

Course Delivery

Courses are accessed online  by any device including PC, tablet or Smart Phone. Upon purchase an automated welcome email will be sent to you (please check your junk email inbox if not received as this is an automated email), in order for you to access your online course, which is Available 24/7 on any computer or smart mobile device. 

Recognition & Accreditation

All students who complete this course, receive a certificate of completion and will be issued a certificate via email.

NumPy

  • Introduction
  • What is Numpy
  • Basic Mathematics
  • Tour of Numpy I
  • Tour of Numpy II
  • Matrices
  • Deviations
  • Eigen Values
  • Covariance
  • Project (Determinants)
  • Summary

Entry requirements

Students must have basic literacy and numeracy skills.

Minimum education

Open entry. Previous schooling and academic achievements are not required for entry into this course.

Computer requirements

Students will need access to a computer and the internet. 

Minimum specifications for the computer are:

Windows:

  • Microsoft Windows XP, or later
  • Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)

MAC/iOS

  • OSX/iOS 6 or later
  • Modern and up to date Browser (Firefox, Chrome, Safari)

All systems

  • Internet bandwidth of 1Mb or faster
  • Flash player or a browser with HTML5 video capabilities(Currently Internet Explorer 9, Firefox, Chrome, Safari)

Students will also need access the following applications:

Adobe Acrobat Reader

About this Course

Fundamental scientific library for Python

At the end of this course, you will have a thorough understanding of Numpy' s features and when to use them. Numpy is mainly used in matrix computing. We'll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It's important to know when to choose one over the other. Through rigorous exercises, you'll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful.

  • Express fully why Numpy should be used
  • Ability to install Numpy
  • Understanding of how to use Numpy

 Course Fast Facts:

  1. Learn the fundamentals of Python NumPy: Scientific Computing with Python
  2. Comprehensive  module Accredited Certificate In Python NumPy: Scientific Computing with Python Online Course
  3. Study along with simple instructions & demonstrations
  4. Written and developed by leading Python NumPy experts
  5. Receive one-on-one online help & support
  6. Unlimited, lifetime access to online course
  7. Certificate of completion
  8. Study at your own pace with no rigid class timetables, 24/7 from any computer or smart device

Course Delivery

Courses are accessed online  by any device including PC, tablet or Smart Phone. Upon purchase an automated welcome email will be sent to you (please check your junk email inbox if not received as this is an automated email), in order for you to access your online course, which is Available 24/7 on any computer or smart mobile device. 

Recognition & Accreditation

All students who complete this course, receive a certificate of completion and will be issued a certificate via email.

NumPy

  • Introduction
  • What is Numpy
  • Basic Mathematics
  • Tour of Numpy I
  • Tour of Numpy II
  • Matrices
  • Deviations
  • Eigen Values
  • Covariance
  • Project (Determinants)
  • Summary

Entry requirements

Students must have basic literacy and numeracy skills.

Minimum education

Open entry. Previous schooling and academic achievements are not required for entry into this course.

Computer requirements

Students will need access to a computer and the internet. 

Minimum specifications for the computer are:

Windows:

  • Microsoft Windows XP, or later
  • Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)

MAC/iOS

  • OSX/iOS 6 or later
  • Modern and up to date Browser (Firefox, Chrome, Safari)

All systems

  • Internet bandwidth of 1Mb or faster
  • Flash player or a browser with HTML5 video capabilities(Currently Internet Explorer 9, Firefox, Chrome, Safari)

Students will also need access the following applications:

Adobe Acrobat Reader

We provide a 7 Day Money Back Refund on all Courses

Now Only RM449 Save RM2050 (82%)
OFF RRP RM2499
Delivery Method Online
Get Info Pack

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Course Summary

Course ID No.: 009SRPNSCWP
Delivery Mode: Online
Course Access: Unlimited lifetime
Tutor Support: Yes
Time required: Study at your own pace
Course Duration: 1 Hour
Assessments: Yes
Qualification: Certificate

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