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Algebra Courses

Algebra courses can help you learn solving equations, working with inequalities, and understanding functions and their graphs. You can build skills in manipulating algebraic expressions, factoring polynomials, and applying algebraic concepts to real-life problems. Many courses introduce tools like graphing calculators and software for visualizing functions, which enhance your ability to analyze data and model relationships.


More to explore:

Popular Algebra Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Coaching Practices

    Skills you'll gain: Employee Coaching, Coaching, Management Training And Development, Accountability, Performance Management, Professional Development, People Development, Employee Performance Management, Performance Improvement, Constructive Feedback, Gap Analysis, Communication Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    534 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    The Finite Element Method for Problems in Physics

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    563 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    946 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
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    107 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    455 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 3: Analog vs Digital

    Skills you'll gain: Digital Signal Processing, Digital Communications, Electrical and Computer Engineering, Electronic Systems, Electronics, Numerical Analysis, Telecommunications, Linear Algebra, Mathematical Modeling, Time Series Analysis and Forecasting

    4.8
    Rating, 4.8 out of 5 stars
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    93 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    UNSW Sydney (The University of New South Wales)

    Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets

    Skills you'll gain: Mechanics, Physics, Experimentation, Engineering Calculations, Applied Mathematics, Physical Science, Engineering Analysis, Mathematical Modeling, Estimation

    4.7
    Rating, 4.7 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Chip based VLSI design for Industrial Applications

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Electronic Systems, Hardware Design, Application Specific Integrated Circuits, Electronics Engineering, Serial Peripheral Interface, Computational Logic, Electrical Engineering, Computer Architecture, Schematic Diagrams, Semiconductors, Electronic Hardware, Electronics, Electronic Components, Internet Of Things, Embedded Systems, Theoretical Computer Science, Electrical and Computer Engineering, Diagram Design, Programmable Logic Controllers

    4.5
    Rating, 4.5 out of 5 stars
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    172 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    P

    Packt

    Mathematical Foundations and Quantum Mechanics Essentials

    Skills you'll gain: Probability, Linear Algebra, Probability & Statistics, Statistics, Mathematical Theory & Analysis, Computational Logic, Applied Mathematics, Advanced Mathematics, Computer Science, Algebra, Physics

    4.3
    Rating, 4.3 out of 5 stars
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    63 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
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    359 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    180 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Coaching Practices: University of California, Davis
  • The Finite Element Method for Problems in Physics: University of Michigan
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Supervised Machine Learning: Classification: IBM
  • Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
  • Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets: UNSW Sydney (The University of New South Wales)
  • Chip based VLSI design for Industrial Applications: L&T EduTech
  • Mathematical Foundations and Quantum Mechanics Essentials: Packt
  • Unsupervised Machine Learning: IBM

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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