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  • Python For Engineering

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Results for "python for engineering"


  • Status: Free Trial
    Free Trial
    G

    Google

    The Power of Statistics

    Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Probability, Jupyter, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    876 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    162 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python Case Study - Customer Brokerage Management System

    Skills you'll gain: Data Validation, Object Oriented Programming (OOP), Customer Data Management, Business Logic, Financial Data, User Interface (UI), Program Development, Real Time Data, Command-Line Interface, Scripting, Application Development, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python Scripting Masterclass: From Basics to Real Projects

    Skills you'll gain: Debugging, Integrated Development Environments, Data Validation, Web Applications, Scripting, Development Environment, Object Oriented Programming (OOP), Django (Web Framework), Software Testing, Web Development, Customer Data Management, Data Structures, Program Development, Scripting Languages, Business Logic, Financial Data, User Interface (UI), Python Programming, Software Development Methodologies, Programming Principles

    4.9
    Rating, 4.9 out of 5 stars
    ·
    49 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Beyond basics: Advanced Data Analysis with Python

    Skills you'll gain: A/B Testing, Statistical Hypothesis Testing, Statistical Methods, Advanced Analytics, Statistical Analysis, Correlation Analysis, Data Analysis, Report Writing, Probability & Statistics, Analytical Skills, Data-Driven Decision-Making, Health Information Management and Medical Records, Business Process Automation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark & Python: Hands-On Guide to Data Processing

    Skills you'll gain: PySpark, MySQL, Data Pipelines, Apache Spark, Data Processing, SQL, Data Transformation, Data Manipulation, Distributed Computing, Python Programming, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    41 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Python Basics: Create a Guessing Number Game from Scratch

    Skills you'll gain: Game Design, Programming Principles, Python Programming, Scripting, Computer Programming, Scripting Languages, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    125 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python Scripting Case Study - To-do List Application

    Skills you'll gain: Debugging, Integrated Development Environments, Web Applications, Development Environment, Django (Web Framework), Software Testing, Web Development, Program Development, Software Development Methodologies, Software Architecture, Scripting, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    FEM - Linear, Nonlinear Analysis & Post-Processing

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Simulation and Simulation Software, Engineering Calculations, Mathematical Modeling, Structural Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    213 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Scrape and analyze data analyst job requirements with Python

    Skills you'll gain: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub

    3.4
    Rating, 3.4 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Installation et Configuration Python avec Visual Studio Code

    Skills you'll gain: Microsoft Visual Studio, Python Programming, Software Installation, Computer Programming, Development Environment, Integrated Development Environments, System Configuration

    Beginner · Guided Project · Less Than 2 Hours

1…798081…834

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

  • The Power of Statistics: Google
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Python Case Study - Customer Brokerage Management System: EDUCBA
  • Python Scripting Masterclass: From Basics to Real Projects: EDUCBA
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Beyond basics: Advanced Data Analysis with Python: Coursera
  • PySpark & Python: Hands-On Guide to Data Processing: EDUCBA
  • Python Basics: Create a Guessing Number Game from Scratch: Coursera
  • Python Scripting Case Study - To-do List Application: EDUCBA
  • FEM - Linear, Nonlinear Analysis & Post-Processing: Coursera

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