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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.


Popular Algebra Courses and Certifications


  • Status: Preview
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    U

    University of Leeds

    Introduction to Technology-Assisted Decision-Making

    Skills you'll gain: Resource Allocation, Operations Research, Production Planning, Graph Theory, Data-Driven Decision-Making, Decision Making, Mathematical Modeling, Process Optimization, Network Planning And Design, Complex Problem Solving, Computational Logic, Algorithms, Linear Algebra, Cryptography

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Model Diagnostics and Remedial Measures

    Skills you'll gain: Model Evaluation, Data Validation, Regression Analysis, Plot (Graphics), Statistical Modeling, Data Transformation, Correlation Analysis, Statistical Analysis, R Programming, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Linear Algebra

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Semantic Processing

    Skills you'll gain: Embeddings, Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Spacecraft Relative Motion Control

    Skills you'll gain: Control Systems, Numerical Analysis, Simulations, Engineering Analysis, Mathematical Modeling, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Theory & Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

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    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Machine Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Data Preprocessing, Statistical Methods, Python Programming, Linear Algebra, Algorithms

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Discrete Mathematics for Computer Science and Engineering

    Skills you'll gain: Mathematical Theory & Analysis, Theoretical Computer Science, Programming Principles, Computer Engineering, Computational Thinking, Cryptography, Algorithms, Applied Mathematics, Probability & Statistics, Data Management

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    K

    Koç University

    KALKÜLÜS II: TEMEL KAVRAMLAR / CALCULUS II: BASIC CONCEPTS

    Skills you'll gain: Calculus, Integral Calculus, Algebra, Numerical Analysis, Arithmetic, Computational Thinking, Advanced Mathematics, Mathematical Theory & Analysis, Derivatives

    Mixed · Course · 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
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    N

    Northwestern University

    현대 로봇공학, 강좌 2: 로봇 기구학

    Skills you'll gain: Robotics, Machine Controls, Mechanics, Torque (Physics), Automation Engineering, Mathematical Modeling, Engineering Analysis, Engineering Calculations, Structural Analysis, Mechanical Design, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Visualization (Computer Graphics), Spatial Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Free Trial
    E

    EDUCBA

    Master Unity Game Physics: Apply, Simulate & Transform

    Skills you'll gain: Unity Engine, Torque (Physics), Game Design, Video Game Development, Mechanics, Simulations, Mathematical Modeling, Physics, Engineering Calculations, Scripting, C# (Programming Language), Linear Algebra, Applied Mathematics

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    K

    Koç University

    KALKÜLÜS I: HAZIRLIK VE ALTYAPI / CALCULUS I: PRECALCULUS

    Skills you'll gain: Calculus, Algebra, Integral Calculus, Mathematical Theory & Analysis, Graphing

    Beginner · Course · 1 - 3 Months

Searches related to algebra

algebra: elementary to advanced
algebra and differential calculus for data science
algebra: elementary to advanced - polynomials and roots
algebra: elementary to advanced - equations & inequalities
algebra: elementary to advanced - functions & applications
linear algebra
introduction to linear algebra
mathematics for machine learning: linear algebra
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In summary, here are 10 of our most popular algebra courses

  • Introduction to Technology-Assisted Decision-Making: University of Leeds
  • Model Diagnostics and Remedial Measures: Illinois Tech
  • Advanced Semantic Processing: Packt
  • Spacecraft Relative Motion Control: University of Colorado Boulder
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • 머신 러닝: 회귀 모델: University of Washington
  • Discrete Mathematics for Computer Science and Engineering: Birla Institute of Technology & Science, Pilani
  • KALKÜLÜS II: TEMEL KAVRAMLAR / CALCULUS II: BASIC CONCEPTS: Koç University
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University

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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