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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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    Georgia Institute of Technology

    Supply Chain Principles

    Skills you'll gain: Supply Chain Management, Supply Chain, Logistics, Transportation Operations, Inventory and Warehousing, Procurement, Supplier Management, Manufacturing Operations, Performance Metric

    4.6
    Rating, 4.6 out of 5 stars
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    2.2K reviews

    Mixed · Course · 1 - 3 Months

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    Google

    Satisfaction Guaranteed: Develop Customer Loyalty Online

    Skills you'll gain: Client Services, Loyalty Programs, Customer Retention, E-Commerce, Brand Loyalty, Customer Relationship Management, Customer Engagement, Digital Marketing, Product Improvement, Web Analytics and SEO, Marketing Analytics, Performance Analysis, Customer Insights, Portfolio Management, Presentations, Generative AI Agents, Key Performance Indicators (KPIs), Business Metrics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.9K reviews

    Beginner · Course · 1 - 4 Weeks

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    Logical Operations

    Excel: Modeling with Power Pivot and Reporting Insights

    Skills you'll gain: Data Analysis Expressions (DAX), Microsoft Excel, Pivot Tables And Charts, Report Writing, Data Modeling, Management Reporting, Business Reporting, Data Analysis, Performance Reporting, Data Presentation, Data Visualization Software, Data Visualization, Microsoft Office, Microsoft 365, Productivity Software

    Mixed · Course · 1 - 4 Weeks

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    C

    Coursera

    Engineer & Explain AI Model Decisions

    Skills you'll gain: Feature Engineering, Responsible AI, Model Evaluation, Technical Communication, Data Preprocessing, Data Transformation, Performance Analysis, Data Wrangling, Data Cleansing, Data Analysis, Predictive Modeling, Machine Learning, Embeddings, Artificial Intelligence, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package), Debugging

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Colorado Boulder

    Design of HVAC Distribution and Delivery Systems

    Skills you'll gain: HVAC, Building Services Engineering, Hydraulics, Thermal Management, Equipment Design, Engineering, Architectural Engineering, Mechanical Engineering, Engineering Calculations, Control Systems, Human Factors, System Requirements, Engineering Analysis, Performance Testing, Mathematical Modeling

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Mastering Categorical Data Analysis with SAS

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Analytics, Advanced Analytics, Model Evaluation, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Modeling, Exploratory Data Analysis, Correlation Analysis, Statistical Methods, Small Data, Statistical Hypothesis Testing, Probability & Statistics, Descriptive Statistics

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Analyze and Optimize User Retention

    Skills you'll gain: Looker (Software), Customer Retention, Web Analytics, Customer Analysis, Customer Insights, Marketing Analytics, Trend Analysis, Data Analysis, Product Management, Performance Metric, Analysis, Time Series Analysis and Forecasting, Strategic Marketing, Marketing Channel, Forecasting

    Intermediate · Course · 1 - 4 Weeks

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    A

    Amazon Web Services

    Getting Started with Data Analytics on AWS

    Skills you'll gain: Descriptive Analytics, Analytics, Data Analysis, Dashboard, Advanced Analytics, Data-Driven Decision-Making, Data Visualization, Amazon Web Services, Big Data, Analytical Skills, Cloud Services, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
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    913 reviews

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Managing Machine Learning Projects with Google Cloud

    Skills you'll gain: Data Governance, Model Evaluation, Responsible AI, Team Building, Machine Learning, Applied Machine Learning, Data Preprocessing, Google Cloud Platform, Business Analysis, Data Collection, Innovation, Artificial Intelligence and Machine Learning (AI/ML)

    4.6
    Rating, 4.6 out of 5 stars
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    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Master of Science in Computer Science

    Skills you'll gain: Object Oriented Design, User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Delegation Skills, Sampling (Statistics), Sustainable Business, Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Supervised Learning, Database Design, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives

    Earn a degree

    Degree · 1 - 4 Years

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    C

    Coursera

    Design & Present Responsible AI Solutions

    Skills you'll gain: Responsible AI, Data Ethics, Data Storytelling, Presentations, Technical Communication, Artificial Intelligence, Stakeholder Communications, Ethical Standards And Conduct, Case Studies, Accountability, Risk Mitigation, Governance, Design, Stakeholder Analysis, Risk Management, Project Documentation

    Intermediate · Course · 1 - 4 Weeks

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

  • Supply Chain Principles: Georgia Institute of Technology
  • Satisfaction Guaranteed: Develop Customer Loyalty Online: Google
  • Excel: Modeling with Power Pivot and Reporting Insights: Logical Operations
  • Engineer & Explain AI Model Decisions: Coursera
  • Design of HVAC Distribution and Delivery Systems: University of Colorado Boulder
  • Mastering Categorical Data Analysis with SAS: EDUCBA
  • Analyze and Optimize User Retention: Coursera
  • Getting Started with Data Analytics on AWS: Amazon Web Services
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Managing Machine Learning Projects with Google Cloud: Google Cloud

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