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  • Python For Data Science

Python for Data Science Courses

Python for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with data sets, performing exploratory data analysis, and developing predictive models. Many courses introduce tools like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning, allowing you to apply your skills in practical projects and real-world data challenges.


More to explore:

Popular Python for Data Science Courses and Certifications


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    EDUCBA

    Analyze and Automate Pivot Table Problem Solutions

    Skills you'll gain: Business Reporting, Project Documentation, Issue Tracking, Data Presentation, Data Validation, Data Visualization Software

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Analyze Web Metrics for Marketing Mastery

    Skills you'll gain: Google Analytics, Web Analytics, Web Analytics and SEO, Marketing Analytics, Content Performance Analysis, Data-Driven Decision-Making, Analytics, Performance Reporting, Driving engagement, Key Performance Indicators (KPIs), Performance Metric, Customer Insights, AI Personalization, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

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    Logical Operations

    Power BI: Dashboards, Collaboration, and Optimization

    Skills you'll gain: Power BI, Dashboard, Collaborative Software, Collaboration, Data Sharing, Microsoft Power Platform, Microsoft Excel, Business Intelligence, Microsoft 365, Mobile Security, Interactive Data Visualization, Microsoft PowerPoint, Microsoft Office, Data Analysis Software, Performance Tuning, Data Analysis

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Compare User Behavior with Segments

    Skills you'll gain: Web Analytics, Customer Engagement, Technical Communication, Campaign Management, Analysis, Strategic Marketing, Performance Metric, Business Metrics, Data-Driven Decision-Making, Descriptive Analytics, Stakeholder Communications

    Beginner · Course · 1 - 4 Weeks

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    Macquarie University

    Influencing: Storytelling, Change Management and Governance

    Skills you'll gain: Risk Management Framework, Persuasive Communication, Storytelling, Influencing, Governance, Risk Management, Change Management, Organizational Change, Communication, Conflict Management, Leadership, Business Transformation, Risk Analysis, Negotiation, Operational Risk, Business Risk Management, Risk Mitigation, Intercultural Competence, Stakeholder Management, Process Management

    4.7
    Rating, 4.7 out of 5 stars
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    4.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    Packt

    Introduction to Fundamental Data Structures and Techniques

    Skills you'll gain: Data Structures, Algorithms, Programming Principles, Computational Thinking

    Intermediate · Course · 1 - 3 Months

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    Rice University

    Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

    Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    2.7K reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

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    University of London

    Algorithms and Complexity

    Skills you'll gain: Algorithms, Computational Thinking, Theoretical Computer Science, Programming Principles, Computational Logic, Critical Thinking and Problem Solving, Performance Testing, Computer Science, Data Structures, Critical Thinking, Logical Reasoning, Graph Theory, Complex Problem Solving, Analysis, Game Theory

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, Natural Language Processing, Debugging, Containerization, Kubernetes, Transfer Learning, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Applied Machine Learning, PyTorch (Machine Learning Library), Vision Transformer (ViT), Tensorflow, Cloud Computing, Deep Learning, Performance Tuning, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision

    Advanced · Specialization · 1 - 3 Months

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    Meta

    Version Control

    Skills you'll gain: Version Control, Unix Commands, Git (Version Control System), GitHub, Linux Commands, Software Versioning, Command-Line Interface, Linux, Collaborative Software, File Management, Software Development Tools, Software Development, Web Development

    4.6
    Rating, 4.6 out of 5 stars
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    3.8K reviews

    Beginner · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Vital Skills for Data Science

    Skills you'll gain: Data Ethics, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, User Experience Design, Technical Communication, Cybersecurity, Healthcare Ethics, Usability, Statistical Reporting, Human Centered Design, Authentications, Data Storytelling, Ethical Standards And Conduct, Information Privacy, Responsible AI, Analysis

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
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    124 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Analyze and Automate Pivot Table Problem Solutions: EDUCBA
  • Analyze Web Metrics for Marketing Mastery: Coursera
  • Power BI: Dashboards, Collaboration, and Optimization: Logical Operations
  • Compare User Behavior with Segments: Coursera
  • Influencing: Storytelling, Change Management and Governance: Macquarie University
  • Introduction to Fundamental Data Structures and Techniques: Packt
  • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
  • ML Concepts, Models & Workflow Essentials: Coursera
  • Algorithms and Complexity: University of London
  • Deep Learning Engineering: Coursera

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