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  • Mathematics For Data Science

Results for "Mathematics for Data Science"


  • P

    Packt

    Mastering Python for Data Science

    Skills you'll gain: Data Science, Statistical Inference, Machine Learning Methods, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistical Methods, Statistics, Regression Analysis, Applied Machine Learning, Apache Hadoop, Big Data, Machine Learning Algorithms, Data Mining, Data Analysis, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • U

    University of Illinois Urbana-Champaign

    Health Data Science Foundation

    Skills you'll gain: Health Informatics, Machine Learning Methods, Deep Learning, Machine Learning, Machine Learning Algorithms, Health Care, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Healthcare Project Management, Medical Science and Research, Unsupervised Learning, Program Development

    ★ 3.1 (30) · Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Apache Spark, MLOps (Machine Learning Operations), Large Language Modeling, Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Statistical Methods, Probability & Statistics, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Database Development, Statistical Analysis, Regression Analysis, Dashboard Creation, Data Manipulation, Python Programming, Applied Machine Learning, Probability, Data Science, Performance Tuning

    ★ 4.6 (29) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Analysis, AI Personalization, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Data Science as a Field

    Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Literacy, Data Analysis, Analysis, Applied Mathematics, Statistics, Computer Science

    ★ 4.3 (39) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Statistical Methods, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Machine Learning Algorithms, Probability Distribution, Estimation, Machine Learning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Counting & Probability

    Skills you'll gain: Bayesian Statistics

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Plot (Graphics), Box Plots, Data Analysis, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Data Literacy, Statistical Visualization, Seaborn, Descriptive Analytics, Analytical Skills, Statistical Analysis, Correlation Analysis, Statistics

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Data Science Foundations: NumPy, Pandas & Visualization

    Skills you'll gain: Statistical Visualization, Data Presentation, Data Science, Computer Programming

    Beginner · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • U

    University of Leeds

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Plot (Graphics), Statistical Modeling, Data Visualization, Statistics, R (Software), Data Analysis, Statistical Software, Probability & Statistics, Statistical Inference, R Programming, Descriptive Statistics, Data Preprocessing, Box Plots, Data Visualization Software, Histogram, Probability, Probability Distribution

    ★ 4.6 (9) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1…789…834

In summary, here are 10 of our most popular Mathematics for Data Science courses

  • Mastering Python for Data Science: Packt
  • Health Data Science Foundation: University of Illinois Urbana-Champaign
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Data Science as a Field: University of Colorado Boulder
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • Data Science Fundamentals Part 2: Unit 1: Pearson

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