NumPy and SciPy Essential Training

One Day, 17/10/2024

Venue

Tertiary Courses Malaysia G-3A-02, Corporate Office Suite, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200

Entrance Fee

1000

Category

Science & Technology

Event Type

Class, Course, Training or Workshop

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Schedule

DateTime
17/10/20249:30 AM - 5:30 PM
NumPy and SciPy Essential Training

Unlock the power of Python's most renowned libraries for numerical computing with our NumPy and SciPy Essential Training. Start your journey by grasping the core functionalities of NumPy, the backbone for numerical operations in Python. Understand data visualization techniques using Matplotlib and harness its integration with NumPy to depict data effectively.

The adventure doesn't end at visualization; dive deeper into the multifaceted world of SciPy. From understanding its robust optimization module, delving into linear algebra, comprehending advanced statistics, to mastering signal and image processing, you're in for a comprehensive exploration. This course, designed meticulously for data enthusiasts, guarantees proficiency in modules that form the bedrock of many advanced data science and engineering applications. Step into the realm of sophisticated data analysis and processing with confidence.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M282

Topic 1 Basics of Numpy

  • Array Creation

  • Array Operations

  • Indexing & Slicing 

  • Shape Manipulation

  • Polynomial

  • Linear Algebra

  • Statistics

Topic 2 Numerical Analysis 

  • Curve Fitting

  • Finding Roots

  • Interpolation

  • Integration

  • ODE

Topic 3 Linear Algebra 

  • Matrix Operations

  • Matrix Solve 

  • Eigenvalues

  • Matrix Decomposition

Topic 4 Statistics

  • Basic Statistics

  • t-test for one sample

  • t-test comparison for 2 samples

Topic 5 Signal Processing

  • Waveforms

  • Fast Fourier Transform (FFT)

  • FFT Windowing

Topic 6 Image Processing (Optional)