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  • Programming Fundamentals

Results for "programming fundamentals"


  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Machine Learning, Data Analysis, Random Forest Algorithm

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Complex Retrieval Queries in MySQL Workbench

    Skills you'll gain: MySQL Workbench, Data Validation, SQL, MySQL, Query Languages, Analytical Skills, Relational Databases, Scripting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    67 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Predictive Modeling, Statistical Modeling, Big Data, Regression Analysis, Data Analysis Software, Advanced Analytics, Feature Engineering, Performance Analysis, Performance Measurement, Statistical Analysis, Data Manipulation, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

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

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Essential Testing Techniques in Software Development

    Skills you'll gain: Software Testing, Test Case, Integration Testing, System Testing, Software Development Life Cycle, Acceptance Testing, Test Planning, Software Quality Assurance, Unit Testing, Functional Testing, Regression Testing, Usability Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Proyecto final - Construyendo una aplicación profesional con Android

    Skills you'll gain: Android Development, Android Studio, Application Design, Application Development, Mobile Development, Prototyping, Program Development, Mockups, User Interface (UI) Design, Development Testing, Problem Management, Extensible Markup Language (XML)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, NumPy, Probability & Statistics, Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Machine Learning, Interactive Data Visualization, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Análisis exploratorio de datos con Python y Pandas

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Michigan

    Uso de bases de datos con Python

    Skills you'll gain: SQL, Database Management, Relational Databases, Databases, Database Design, Data Visualization Software, Web Scraping, Data Processing, Object Oriented Programming (OOP), Data Modeling, Python Programming, Web Development, Application Programming Interface (API)

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Python Decorator Functions

    Skills you'll gain: Python Programming, Integrated Development Environments, Scripting, Maintainability, Performance Tuning, Scripting Languages, Computer Programming

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Preparation and Analysis

    Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Science, Regression Analysis, Data Manipulation, Data Mining, Statistical Modeling, Python Programming, Feature Engineering, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Decision Tree Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to programming fundamentals

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1…302303304…464

In summary, here are 10 of our most popular programming fundamentals courses

  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Complex Retrieval Queries in MySQL Workbench: Coursera
  • Predictive Modeling with Logistic Regression using SAS : SAS
  • Applied Unsupervised Learning in Python: University of Michigan
  • Essential Testing Techniques in Software Development: Board Infinity
  • Proyecto final - Construyendo una aplicación profesional con Android: Universidad Nacional Autónoma de México
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Análisis exploratorio de datos con Python y Pandas: Coursera
  • Uso de bases de datos con Python: University of Michigan

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