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  • Statistics For Data Science

Statistics For Data Science Courses

Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.


Popular Statistics For Data Science Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Apply Generative AI for Leadership & Human-Centered Branding

    Skills you'll gain: Generative AI, AI Enablement, Performance Analysis, Strategic Leadership, Brand Awareness, LLM Application, Branding, Leadership, Cybersecurity, Threat Modeling, Strategic Thinking, Prompt Engineering, Data Ethics, Business Transformation, Responsible AI, Storytelling, AI Personalization, Content Development and Management, Multimedia, Business

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    International Business Essentials

    Skills you'll gain: Financial Statements, Business Planning, Sampling (Statistics), Management Training And Development, Descriptive Statistics, Organizational Structure, Change Management, Data Presentation, Professional Networking, Business Mathematics, Verbal Communication Skills, Team Building, Team Management, Business Strategy, Professionalism, Resource Allocation, Competitive Analysis, Linear Algebra, Mathematical Modeling, International Finance

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Scientist Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    371 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Computer Networks and Network Security

    Skills you'll gain: Networking Hardware, TCP/IP, Network Security, Network Protocols, Endpoint Detection and Response, Network Routing, Cybersecurity, Local Area Networks, Dynamic Host Configuration Protocol (DHCP), Firewall, General Networking, Information Systems Security, Intrusion Detection and Prevention, Endpoint Security, Network Infrastructure, Network Planning And Design, Wireless Networks, Security Information and Event Management (SIEM), Network Analysis, Data Loss Prevention

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Analyze and Implement Apache HBase for Big Data Storage

    Skills you'll gain: Apache Hadoop, Apache, Database Systems, NoSQL, Big Data, Database Management Systems, Databases, Shell Script, Data Storage, Data Storage Technologies, Database Design, Software Installation, Data Access, Data Modeling, System Configuration, Command-Line Interface, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning Engineering

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

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Work Smarter with Microsoft Word

    Skills you'll gain: Microsoft Word, Microsoft 365, Microsoft Office, Productivity Software, Document Management, Technical Documentation, Microsoft Windows, Writing, Editing, Data Entry, File Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    AI Engineer Associate

    Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistics for Genomic Data Science

    Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression

    4.2
    Rating, 4.2 out of 5 stars
    ·
    378 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    Advanced Programming Techniques with Python

    Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Database Application, Python Programming, Unit Testing, Computer Programming, Restful API, Cross Platform Development, Package and Software Management, Scripting, Data Science, Program Development, Computer Programming Tools, Software Development, Data Processing, Debugging, Programming Principles, User Interface (UI) Design, Regression Analysis, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

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

  • Apply Generative AI for Leadership & Human-Centered Branding: EDUCBA
  • International Business Essentials: University of London
  • Data Scientist Career Guide and Interview Preparation: IBM
  • Computer Networks and Network Security: IBM
  • Analyze and Implement Apache HBase for Big Data Storage: EDUCBA
  • Deep Learning Engineering: Coursera
  • Work Smarter with Microsoft Word: Microsoft
  • AI Engineer Associate: Packt
  • Core Machine Learning & Evaluation: Packt
  • Statistics for Genomic Data Science: Johns Hopkins University

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