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  • Python For Statistics

Python for Statistics Courses

Python for Statistics courses can help you learn data analysis, hypothesis testing, regression analysis, and probability distributions. You can build skills in data visualization, statistical modeling, and interpreting results to make informed decisions. Many courses introduce tools like Pandas for data manipulation, NumPy for numerical calculations, and Matplotlib for creating visual representations of data, all of that support applying statistical techniques effectively.


Popular Python for Statistics Courses and Certifications


  • 2

    28DIGITAL

    Basic Recommender Systems

    Skills you'll gain: Model Evaluation, Data Ethics, Systems Design, System Requirements, Responsible AI, Machine Learning Algorithms, Innovation, Algorithms, Data Preprocessing, Predictive Modeling, Data-Driven Decision-Making, Applied Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California, Santa Cruz

    The Career Design Lab: Change your Job, Change your Life

    Skills you'll gain: Professional Networking, Positivity, Design Thinking, Decision Making, Relationship Building, Professional Development, Creative Thinking, Interviewing Skills, Self-Awareness, Negotiation, Personal Development, Goal Setting

    4.9
    Rating, 4.9 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    ISC2

    Cryptography

    Skills you'll gain: Cryptography, Key Management, Public Key Infrastructure, Encryption, Cryptographic Protocols, Data Security, Public Key Cryptography Standards (PKCS), Cybersecurity, Application Security, Authentications, Brute-force attacks, Data Integrity, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Material Jetting and Stereolithography

    Skills you'll gain: Manufacturing Processes, Materials science, Process Engineering, Manufacturing Operations, Production Process, Equipment Design, Laboratory Experience, Experimentation, Prototyping, Process Development, Analytical Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Skillshare

    AI Video Creation: A Beginner's Guide to Realistic AI Videos

    Skills you'll gain: Prompt Engineering, AI Workflows, Storyboarding, Video Editing, Video Production, Generative AI, Motion Graphics, Artificial Intelligence, Creativity

    3.3
    Rating, 3.3 out of 5 stars
    ·
    19 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Cisco Learning and Certifications

    Threat Investigation

    Skills you'll gain: Cyber Threat Intelligence, Cyber Threat Hunting, Threat Detection, Vulnerability Assessments, Threat Management, Event Monitoring, Security Information and Event Management (SIEM), Continuous Monitoring, Incident Response, Security Management, Malware Protection, Network Security, System Monitoring, Network Analysis, Network Monitoring

    4.8
    Rating, 4.8 out of 5 stars
    ·
    39 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Agile and Hybrid Approaches in a Project Environment

    Skills you'll gain: Agile Methodology, Agile Project Management, Project Management Life Cycle, Kanban Principles, Project Management Institute (PMI) Methodology, Project Management, Sprint Planning, Performance Measurement, Lean Methodologies, Continuous Improvement Process, Risk Management, Team Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Microsoft Project 2021 From Beginners to Advanced

    Skills you'll gain: Microsoft Project, Earned Value Management, Work Breakdown Structure, Project Schedules, Resource Allocation, Calendar Management, Project Controls, Excel Macros, Project Performance, Resource Management, Timelines, Business Reporting, Resource Planning, Milestones (Project Management), Scheduling, Cost Management, Project Management, Capacity Management, Dependency Analysis, Consolidation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Goodwill Industries International

    The Digital Divide

    Skills you'll gain: digital literacy, Computer Literacy, Disabilities, Web Content Accessibility Guidelines, Diversity Awareness, Digital Communications, Community Development, Community Outreach, End User Training and Support, Advocacy, Telecommunications, Ethical Standards And Conduct, Data Access, Requirements Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Basic Recommender Systems: 28DIGITAL
  • The Career Design Lab: Change your Job, Change your Life: University of California, Santa Cruz
  • Cryptography : ISC2
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Material Jetting and Stereolithography: Arizona State University
  • Diabetes Prediction With Pyspark MLLIB: Coursera
  • AI Video Creation: A Beginner's Guide to Realistic AI Videos: Skillshare
  • Threat Investigation: Cisco Learning and Certifications
  • Agile and Hybrid Approaches in a Project Environment: Microsoft
  • Microsoft Project 2021 From Beginners to Advanced: Packt

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