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  • Math For Data Science

Math for Data Science Courses

Math for Data Science courses can help you learn statistical analysis, linear algebra, probability theory, and calculus. You can build skills in data visualization, hypothesis testing, and regression analysis, which are crucial for interpreting data effectively. Many courses introduce tools like Python, R, and SQL, along with libraries such as NumPy and Pandas, to help you apply these mathematical concepts to real datasets and enhance your analytical capabilities.


Popular Math for Data Science Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    M

    Microsoft

    Fundamentals of Big Data with Microsoft Azure

    Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Databricks, Big Data, Distributed Computing, Public Cloud, Cloud Computing, Data Lakes, Cloud Platforms, Data Processing, Scalability, Analytics

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    Packt

    Introduction to Data Engineering on AWS

    Skills you'll gain: Data Integration, Performance Tuning, Serverless Computing, Database Architecture and Administration, Data Quality, Data Transformation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)

    4.6
    Rating, 4.6 out of 5 stars
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    6.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Hadoop Platform and Application Framework

    Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Infrastructure, Data Processing, Distributed Computing, Performance Tuning, Scalability, Data Storage, Python Programming

    4
    Rating, 4 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Big Data, Statistical Programming, Text Mining, Data Import/Export, Data Analysis, Data Structures, Performance Tuning, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
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    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    20K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
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    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Cybersecurity & Privacy for Leaders

    Skills you'll gain: Prompt Engineering, AI Security, ChatGPT, Prompt Patterns, Generative AI, Crisis Management, LLM Application, Productivity, Incident Response, Responsible AI, OpenAI, AI Personalization, AI Enablement, Data Ethics, Artificial Intelligence, Large Language Modeling, Business Ethics, Information Privacy, Threat Modeling, Cybersecurity

    4.8
    Rating, 4.8 out of 5 stars
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    8.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    CertNexus

    CertNexus Certified Data Science Practitioner

    Skills you'll gain: Extract, Transform, Load, Data Analysis, Data Preprocessing, Jupyter, Data Visualization, Unsupervised Learning, Statistical Analysis, Model Evaluation, Exploratory Data Analysis, Data Migration, Machine Learning, Business Analytics, Classification Algorithms, Analytical Skills, Data Manipulation, Data Storytelling, Stakeholder Engagement, Project Scoping, Business Priorities, Business Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    79 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    I
    I

    Multiple educators

    IBM and ISC2 Cybersecurity Specialist

    Skills you'll gain: Incident Response, Digital Forensics, Network Security, Computer Security Incident Management, Cloud Computing Architecture, Penetration Testing, Cloud Services, Business Continuity, Cloud Deployment, Disaster Recovery, Security Controls, Generative AI, Configuration Management, Governance, Cybersecurity, Data Storage, Peripheral Devices, Application Security, Information Technology, Cryptography

    4.7
    Rating, 4.7 out of 5 stars
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    14K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Educators

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Responsible AI, Data Ethics, Education Software and Technology, Digital pedagogy, Learning Management Systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, Augmented and Virtual Reality (AR/VR), Ethical Standards And Conduct, Information Privacy, Machine Learning, Emerging Technologies, Context Management

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular math for data science courses

  • Fundamentals of Big Data with Microsoft Azure: Microsoft
  • Introduction to Data Engineering on AWS: Packt
  • Natural Language Processing: DeepLearning.AI
  • Hadoop Platform and Application Framework: University of California San Diego
  • The R Programming Environment: Johns Hopkins University
  • Data Science Project: MATLAB for the Real World: MathWorks
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Machine Learning with Python: IBM
  • Generative AI Cybersecurity & Privacy for Leaders: Vanderbilt University
  • CertNexus Certified Data Science Practitioner: CertNexus

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