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  • Exploring Programming Concepts

Results for "exploring programming concepts"


  • C

    Coursera

    Python Scripting for DevOps

    Skills you'll gain: Scripting, Scripting Languages, Python Programming, Computer Programming Tools, Devops Tools, Data Structures, Programming Principles, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Python for Beginners: Variables and Strings

    Skills you'll gain: Data Import/Export, Data Analysis, Data Visualization, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    57 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Amazon

    Database Management with Java and SQL

    Skills you'll gain: SQL, Database Management, MySQL, Relational Databases, Query Languages, Databases, Database Application, Database Design, Data Access, Java, Java Programming, UI Components, User Interface (UI), Software Development

    4.3
    Rating, 4.3 out of 5 stars
    ·
    35 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Probability & Statistics, Biostatistics, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    527 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Tools for Improve and Control

    Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Quality Improvement, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Process Capability, Project Management, Quality Management, Cost Benefit Analysis, Statistical Inference, Document Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    828 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    104 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Logistic Regression in R for Public Health

    Skills you'll gain: Logistic Regression, Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, Model Evaluation, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Probability & Statistics, Data Preprocessing, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    367 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++ Object Basics: Functions, Recursion, and Objects

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), C and C++, Programming Principles, Computer Programming, Software Documentation, Functional Design, Computer Science, Maintainability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    168 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Survival Analysis in R for Public Health

    Skills you'll gain: Biostatistics, Statistical Analysis, R (Software), R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Logistic Regression, Probability & Statistics, Descriptive Statistics, Model Evaluation, Public Health

    4.5
    Rating, 4.5 out of 5 stars
    ·
    330 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Snowflake

    Snowflake Data Engineering

    Skills you'll gain: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Warehousing, Change Control, DevOps, Cloud Development, SQL, Data Integration, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Software Development Tools, Stored Procedure, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    304 reviews

    Beginner · Professional Certificate · 1 - 3 Months

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

  • Python Scripting for DevOps: Coursera
  • Python for Beginners: Variables and Strings: Coursera
  • Database Management with Java and SQL: Amazon
  • Linear Regression in R for Public Health : Imperial College London
  • Six Sigma Tools for Improve and Control: Kennesaw State University
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Logistic Regression in R for Public Health: Imperial College London
  • Deep Learning with PyTorch: IBM
  • C++ Object Basics: Functions, Recursion, and Objects: Codio

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