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  • Numerical Python

Results for "numerical python"


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM COBOL Core

    Skills you'll gain: COBOL (Programming Language), Report Writing, Debugging, Programming Principles, Software Testing, Computer Programming, Maintainability, Business Logic, Software Engineering, Data Storage, Numerical Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Prompt Engineering with GPT: Programming for Custom Content

    Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Scripting, Python Programming, Test Case, Application Programming Interface (API), Application Development, Machine Learning, Software Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    72 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    High-Performance and Parallel Computing

    Skills you'll gain: Bash (Scripting Language), Distributed Computing, Scalability, Software Architecture, File I/O, Big Data, Operating Systems, File Systems, Cloud Development, Scripting, Command-Line Interface, C and C++, Performance Tuning, Linux, Programming Principles, Computer Architecture, Communication Systems

    3.8
    Rating, 3.8 out of 5 stars
    ·
    171 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    46 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    E

    Edureka

    Introduction to PySpark

    Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability

    3.7
    Rating, 3.7 out of 5 stars
    ·
    48 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    356 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique

    Optique non-linéaire

    Skills you'll gain: Numerical Analysis, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Materials science, Mathematical Modeling, Laboratory Research, Differential Equations, Medical Imaging, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Box Plots, Plot (Graphics), Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, R Programming, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Developing and Deploying a Complete Django Web Application

    Skills you'll gain: Ajax, jQuery, JSON, Django (Web Framework), Web Applications, Javascript, Debugging, Database Design, Data Modeling, User Accounts, Object Oriented Programming (OOP), Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    292 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Moneyball and Beyond

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to numerical python

numerical methods python
computers, waves, simulations: a practical introduction to numerical methods using python
numerical analysis python
numerical methods using python
python numerical methods
a practical introduction to numerical methods using python
1…808182…147

In summary, here are 10 of our most popular numerical python courses

  • IBM COBOL Core: IBM
  • Prompt Engineering with GPT: Programming for Custom Content: Coursera
  • High-Performance and Parallel Computing: University of Colorado Boulder
  • Prediction and Control with Function Approximation: University of Alberta
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Introduction to PySpark: Edureka
  • Unsupervised Machine Learning: IBM
  • Optique non-linéaire: École Polytechnique
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio

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