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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


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    Coursera

    AppDynamics (Advanced)

    Skills you'll gain: Dashboard, Application Performance Management, System Monitoring, Enterprise Application Management, Performance Tuning, Performance Analysis, Management Reporting, Performance Metric, Anomaly Detection, Real Time Data, Continuous Monitoring, Root Cause Analysis, Operational Performance Management, Business Metrics, Transaction Processing, Key Performance Indicators (KPIs), Data-Driven Decision-Making

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Google Cloud Database Migrations: Strategy

    Skills you'll gain: Data Migration, Data Strategy, Google Cloud Platform, Technology Strategies, Data-Driven Decision-Making, Cloud Solutions, Risk Mitigation, Business Priorities, Enterprise Architecture, Cost Estimation, Governance, Stakeholder Engagement

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling, Advanced Analytics, Predictive Modeling

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    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

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    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
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    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    The Absolute Beginners Guide to Cyber Security - Part 4

    Beginner · Course · 1 - 3 Months

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    Coursera

    Jira: Map, Analyze and Release

    Skills you'll gain: Sprint Retrospectives, User Story, Jira (Software), Performance Metric, Sprint Planning, Release Management, Product Roadmaps, Performance Analysis, Root Cause Analysis, Project Planning, Agile Methodology, Agile Project Management, Team Performance Management, Backlogs, Continuous Improvement Process, Operational Analysis, Collaborative Software, Data-Driven Decision-Making, Prioritization, Descriptive Analytics

    Beginner · Course · 1 - 4 Weeks

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    Emory University

    The Addicted Brain

    Skills you'll gain: Pharmacology, Substance Abuse, Mental and Behavioral Health, Social Studies, Neurology, Behavioral Health, Vulnerability, Health Policy, Public Health, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
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    2.2K reviews

    Beginner · Course · 1 - 3 Months

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    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Introduction to Cloud Computing & Core AWS Services

    Skills you'll gain: Amazon CloudWatch, Public Cloud, Virtual Networking, Infrastructure As A Service (IaaS), Data Storage, System Monitoring, Network Security

    Beginner · Course · 1 - 3 Months

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    University of California San Diego

    Algorithms on Graphs

    Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Social Network Analysis, Data Structures, Network Analysis, Network Model

    4.7
    Rating, 4.7 out of 5 stars
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    2.3K reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Full-Stack Development: React, .NET API & Advanced Features

    Skills you'll gain: Web Applications, Authentications, Front-End Web Development, Authorization (Computing), Application Programming Interface (API), User Interface (UI) Design

    Intermediate · Course · 1 - 3 Months

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    Packt

    The Absolute Beginners Guide to Cyber Security - Part 3

    Skills you'll gain: Threat Detection, Operating Systems

    Beginner · Course · 1 - 3 Months

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

  • AppDynamics (Advanced): Coursera
  • Google Cloud Database Migrations: Strategy: Google Cloud
  • Biostatistics in Public Health: Johns Hopkins University
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • The Absolute Beginners Guide to Cyber Security - Part 4: Packt
  • Jira: Map, Analyze and Release: Coursera
  • The Addicted Brain: Emory University
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Introduction to Cloud Computing & Core AWS Services: Packt
  • Algorithms on Graphs: University of California San Diego

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