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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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    Logical Operations

    Data Analysis and Visualization with Microsoft Excel

    Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Excel Formulas, Data Transformation, Data Presentation, Microsoft Excel, Data Visualization, Sampling (Statistics), Dashboard, Data Visualization Software, Spreadsheet Software, Report Writing, Pivot Tables And Charts, Data Analysis, Statistical Analysis, Data Cleansing, Microsoft Office, Geospatial Mapping, Microsoft 365, Productivity Software

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Analyze Agent Performance: Build and Test

    Skills you'll gain: Statistical Hypothesis Testing, AI Workflows, LangChain, Generative AI Agents, CrewAI, Statistical Methods, Statistical Analysis, Data Transformation, Agentic systems, Statistical Inference, Business Intelligence, Performance Testing, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Performance Metric, Descriptive Analytics, Business Metrics, Data Analysis, Correlation Analysis, Event Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    Northwestern University

    Social Media Marketing

    Skills you'll gain: Marketing Budgets, Blogs, Social Media Marketing, Integrated Marketing Communications, Social Media, Peer Review, Key Performance Indicators (KPIs), Social Media Strategy, Real Time Data, Marketing Effectiveness, Content Marketing, Strategic Marketing, Marketing Strategies, Social Media Content, Marketing, Target Audience, Digital Transformation, Analytics, Digital Marketing, ChatGPT

    4.6
    Rating, 4.6 out of 5 stars
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    5.6K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Transform Data: SQL & Pandas Mastery

    Skills you'll gain: SQL, Data Transformation, Data Wrangling, Data Manipulation, Pandas (Python Package), Query Languages, Consolidation, Time Series Analysis and Forecasting, Analytics, Pivot Tables And Charts, Apache Spark

    Intermediate · Course · 1 - 4 Weeks

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    U

    Universidad Nacional Autónoma de México

    Nutrición y obesidad: control de sobrepeso

    Skills you'll gain: Nutrition and Diet, Nutritional Assessment, Clinical Nutrition, Nutrition Education, Preventative Care, Patient Evaluation, Chronic Diseases, Health And Wellness Coaching, Patient Education and Support, Family Support, Exercise Science

    4.8
    Rating, 4.8 out of 5 stars
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    5.6K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Align AI: Ethics, Strategy & Excellence

    Skills you'll gain: Responsible AI, Data Ethics, Organizational Strategy, Artificial Intelligence, Strategic Leadership, Cross-Functional Collaboration, Governance, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Business Ethics, Business Management, Technology Roadmaps, Ethical Standards And Conduct, Data Governance, Enterprise Architecture, Scalability, Risk Mitigation

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Michigan

    Introduction to Thermodynamics: Transferring Energy from Here to There

    Skills you'll gain: Mechanical Engineering, Thermal Management, Engineering, Energy and Utilities, Physics, Engineering Analysis, Systems Of Measurement, Physical Science, Process Analysis, Environmental Issue

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Master Apache Avro: Build & Apply Serialization Pipelines

    Skills you'll gain: Apache Kafka, Apache Hadoop, JSON

    Beginner · Course · 1 - 4 Weeks

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    Google

    Speed Up Data Analysis and Presentation Building

    Skills you'll gain: Data Visualization, Data Presentation, Responsible AI, Data Storytelling, Prompt Engineering, Data Analysis, AI Enablement, Oral Expression

    4.8
    Rating, 4.8 out of 5 stars
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    789 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Introduction to DevOps

    Skills you'll gain: Cloud-Native Computing, DevOps, CI/CD, Microservices, Infrastructure as Code (IaC), Agile Methodology, Scalability, Performance Metric, Software Development, Culture Transformation, Team Oriented, Cross-Functional Collaboration

    4.8
    Rating, 4.8 out of 5 stars
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    4.1K reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    GenAI Deployment & Governance

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    Apply C Programming by Building an Employee Management App

    Skills you'll gain: Programming Principles, Data Modeling, Data Integrity, Application Development, Data Maintenance, Debugging

    Beginner · Course · 1 - 4 Weeks

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

  • Data Analysis and Visualization with Microsoft Excel: Logical Operations
  • Analyze Agent Performance: Build and Test: Coursera
  • Social Media Marketing: Northwestern University
  • Transform Data: SQL & Pandas Mastery: Coursera
  • Nutrición y obesidad: control de sobrepeso: Universidad Nacional Autónoma de México
  • Align AI: Ethics, Strategy & Excellence: Coursera
  • Introduction to Thermodynamics: Transferring Energy from Here to There: University of Michigan
  • Master Apache Avro: Build & Apply Serialization Pipelines: EDUCBA
  • Speed Up Data Analysis and Presentation Building: Google
  • Introduction to DevOps: IBM

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