Scientific Computing Courses and Certifications

计算机在化工制药及生物工程中的应用

将计算机软件应用于化工、制药和生物工程中的分子绘图、数值计算、数据处理、工艺设计与虚拟仿真。

• XuetangX
• Self-Paced
• Free Online Course

โปรแกรม Python สำหรับการคำนวณทางวิทยาศาสตร์ | Python Programming for Scientific Computations

เรียนรู้การใช้ Python และแพ็กเกจสำคัญเพื่อคำนวณ จัดการ และแสดงผลข้อมูลทางวิทยาศาสตร์

• ThaiMOOC
• Self-Paced
• Free Certificate

NumPy and Pandas Basics for Future Data Scientists

14 ratings at Coursera

Learn NumPy array operations including aggregation, broadcasting, reshaping, sorting and joining, then use pandas for data manipulation, handling and analysis in Python.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Data Science with NumPy, Sets, and Dictionaries

23 ratings at Coursera

Store data in Python sets and dictionaries, then use NumPy vectors and matrices to filter, summarize, and vectorize datasets, from income histograms to image data.

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Scientific Computing and Mathematical Modeling

Build mathematical models and apply numerical methods to solve practical science and engineering problems.

• XuetangX
• Self-Paced
• Free Online Course

Master MATLAB through Guided Problem Solving

4358 ratings at Udemy

Become an expert in MATLAB Programming and Scientific Computing. Advance your career in Engineering Physics Biology etc

• Udemy
• 1 day 13 hours 58 minutes
• Self-Paced
• Paid Course

Deep Learning Prerequisites: The Numpy Stack in Python V2

3835 ratings at Udemy

Numpy, Scipy, Pandas, and Matplotlib: prep for deep learning, machine learning, and artificial intelligence

• Udemy
• 1 hour 59 minutes
• Self-Paced
• Free Online Course

Data-Oriented C++ in Scientific Programming

Write efficient, maintainable C++ for data-intensive work: use compile-time execution, memory-aware data-oriented design, and C++17 parallel algorithms on multi-core CPUs and GPUs.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

JetBrains

Python: Mastering NumPy Essentials

135 ratings at Coursera

Master NumPy arrays in Python: index and slice, transpose, sort and concatenate, compare and search, and work with array math and string values.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

Learn NumPy Fundamentals (Python Library for Data Science)

1321 ratings at Udemy

All the basics to start using the python library NumPy

• Udemy
• 1 hour 49 minutes
• Self-Paced
• Free Online Course

Python for Mechanical Engineers

1320 ratings at Udemy

Learn Python to solve problems in mechanical fields.

• Udemy
• 12 hours 43 minutes
• Self-Paced
• Paid Course

Packt

Intro to NumPy

Learn NumPy for numerical computing in Python: array indexing, slicing, broadcasting, reductions, shape and sort operations, structured arrays, time series, and graphing.

• Coursera
• 6 hours 42 minutes
• Self-Paced
• Paid Course

Python Data Science: NumPy

Create, load, and save NumPy arrays, analyze array data for insights, and transform arrays to clean, prepare, and modify data for data science in Python.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

EDUCBA

Octave for Machine Learning: Analyze & Visualize

Learn GNU Octave for numerical computing: matrix creation and inversion, string and cell array handling, symbolic calculus, plus mesh grids, annotated plots, skewness and kurtosis.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

EDUCBA

GNU Octave: Apply, Implement & Design Functions

Learn GNU Octave from installation onward: handle variables, operators and matrices, write if statements, switch cases and loops, and design reusable user-defined functions.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course