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    Results for "algorithms"

    • I

      Icahn School of Medicine at Mount Sinai

      Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

      Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Copenhagen

      Data Literacy – What is it and why does it matter?

      Skills you'll gain: Data Literacy, Personally Identifiable Information, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Journalism, Big Data, Information Privacy, Data-Driven Decision-Making, Data Security, Law, Regulation, and Compliance, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      174 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Breast Cancer Prediction Using Machine Learning

      Skills you'll gain: Data Cleansing, Data Processing, Applied Machine Learning, Data Import/Export, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      45 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of London

      The Data Science Profession – Student View

      Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Data Science, Applied Machine Learning, Data Analysis, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      38 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Prepare for DP-100: Data Science on Microsoft Azure Exam

      Skills you'll gain: Databricks, Microsoft Azure, Data Science, MLOps (Machine Learning Operations), Predictive Modeling, Scikit Learn (Machine Learning Library), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Deep Learning, Tensorflow, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Basic Robotic Behaviors and Odometry

      Skills you'll gain: Automation, Simulation and Simulation Software, Mechanics, Algorithms, Control Systems, Simulations, Engineering, Linear Algebra, Estimation

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      46 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Dartmouth College

      C Programming: Language Foundations - 2

      Skills you'll gain: Computer Programming Tools, C (Programming Language), Programming Principles, Embedded Systems, Program Development, Computer Engineering, Development Environment, Algorithms, Data Structures, Computer Programming, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Data Structures and Design Patterns for Game Developers

      Skills you'll gain: Object Oriented Design, Unity Engine, Game Design, Software Design Patterns, Data Structures, C# (Programming Language), Video Game Development, Graph Theory, Computer Programming, Software Architecture, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Project Planning and Machine Learning

      Skills you'll gain: Machine Learning Algorithms, Engineering Documentation, Product Development, Product Planning, Data Analysis, Data Processing, Product Requirements, File Systems, Internet Of Things, Big Data, Machine Learning, Data Storage, Supervised Learning, Unsupervised Learning, Requirements Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      129 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Melbourne

      Advanced Modeling for Discrete Optimization

      Skills you'll gain: Debugging, Mathematical Modeling, Operations Research, Combinatorics, Algorithms, Geometry, Data Structures

      4.9
      Rating, 4.9 out of 5 stars
      ·
      138 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Modelos predictivos con aprendizaje automático

      Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Decision Tree Learning, Python Programming, Unsupervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Design Thinking and Predictive Analytics for Data Products

      Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Manipulation, Applied Machine Learning, Design Thinking, Advanced Analytics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Science, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Data Processing, Tensorflow, Statistical Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms for dna sequencing
    algorithms for battery management systems
    algorithms on graphs
    algorithms on strings
    1…505152…119

    In summary, here are 10 of our most popular algorithms courses

    • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
    • Data Literacy – What is it and why does it matter?: University of Copenhagen
    • Breast Cancer Prediction Using Machine Learning: Coursera Project Network
    • The Data Science Profession – Student View: University of London
    • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
    • Basic Robotic Behaviors and Odometry : University of Colorado Boulder
    • C Programming: Language Foundations - 2: Dartmouth College
    • Data Structures and Design Patterns for Game Developers: University of Colorado System
    • Project Planning and Machine Learning: University of Colorado Boulder
    • Advanced Modeling for Discrete Optimization: The University of Melbourne

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Algorithms

    Coursera's algorithms courses offer valuable skills that are foundational in computer science:

    • Understanding and implementing basic and advanced algorithms
    • Analyzing algorithm efficiency and complexity
    • Designing data structures to optimize software applications
    • Problem-solving techniques for tackling computational challenges
    • Application of algorithms in real-world scenarios, like sorting, searching, and graph operations
    • Hands-on programming skills to implement algorithms in various programming languages ‎

    Algorithm courses on Coursera are suitable for all experience levels:

    • Beginners can start with courses that introduce basic concepts and simple algorithms.
    • Those with some background might choose intermediate courses focusing on more complex algorithms and their applications.
    • Advanced courses are suitable for those who have a strong foundation in computer science and want to deepen their understanding of algorithmic theory and applications.‎

    Coursera offers several ways to validate your skills in algorithms:

    • Professional certificates designed to help build and showcase your analytical skills in technical roles.
    • Specialized course certificates that document your learning in particular aspects of algorithms, such as cryptographic methods or data structures.
    • Credentials developed in partnership with respected computer science institutions, adding recognized value to your educational achievements.‎

    Skills in algorithms are crucial for a variety of technical careers:

    • Software Engineer, developing efficient, scalable software
    • Data Analyst, using algorithms to process and analyze large data sets
    • Machine Learning Engineer, applying algorithms to build and train intelligent systems
    • Operations Research Analyst, optimizing and improving business processes
    • Academic Researcher, contributing to the advancement of computational theories and practices‎
    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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