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  • Cryptocurrency And Blockchain

Cryptocurrency and Blockchain Courses

Cryptocurrency and blockchain courses can help you learn how distributed ledgers work, how transactions are verified, and how major blockchain networks are structured. You can build skills in wallet management, smart contract basics, and evaluating blockchain use cases. Many courses introduce tools such as crypto exchanges, block explorers, and frameworks used to experiment with decentralized applications.


Popular Cryptocurrency and Blockchain Courses and Certifications


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    Packt

    Advanced Kitbashing and Prop Creation

    Skills you'll gain: 3D Modeling, Simulations, Aesthetics

    Intermediate · Course · 3 - 6 Months

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    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
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    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    SAS

    Ethical Use of AI Agents and Agentic AI

    Skills you'll gain: Responsible AI, Agentic systems, Data Ethics, Discussion Facilitation, Business Ethics, Regulatory Compliance, Artificial Intelligence, Case Studies, AI Workflows, Governance, Predictive Modeling

    Beginner · Course · 1 - 3 Months

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    Coursera

    Getting Started with BSP and Embedded C

    Skills you'll gain: Embedded Software, Embedded Systems, Computer Hardware, Hardware Architecture, Internet Of Things, Peripheral Devices, C (Programming Language), Software Architecture, Simulations, Debugging, Systems Integration

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Advanced Backup Management and Recovery Scenarios

    Skills you'll gain: Disaster Recovery, Relational Databases, Database Architecture and Administration, Oracle Databases, Data Storage Technologies, Data Migration, Key Management, Data Integrity, Encryption, Data Loss Prevention, Data Security

    Advanced · Course · 1 - 3 Months

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    Coursera

    How to Develop and Maintain a Healthy Talent Pipeline

    Skills you'll gain: Talent Pipelining, Talent Management, Employee Engagement, Employee Retention, Talent Acquisition, Human Resources, Human Resource Strategy, Talent Recruitment, Talent Sourcing, Workforce Development, People Development, Recruitment, Recruitment Strategies, HR Tech, Strategic Sourcing, Diversity and Inclusion, Analytics

    4.7
    Rating, 4.7 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Jenkins Pipeline: Declarative and IaC approaches for DevOps

    Skills you'll gain: Jenkins, Infrastructure as Code (IaC), CI/CD, Continuous Integration, Continuous Delivery, Debugging, Apache Maven, Scripting, Development Environment

    4.5
    Rating, 4.5 out of 5 stars
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    23 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 3 Months

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    Board Infinity

    Decoding BFSI: Key Segments and Functions in Finance

    Skills you'll gain: Investment Banking, Financial Services, Banking Services, Insurance, Financial Inclusion, Business Ethics, Banking, Insurance Policies, Underwriting, Financial Analysis, Financial Market, Financial Management, Credit Risk, Retail Banking, Financial Regulation, Bank Regulations, Risk Analysis, Financial Planning, Mobile Banking, Portfolio Management

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    Northeastern University

    Computation and Visualization for Analytics Part 1

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Matplotlib, Data Preprocessing, Pandas (Python Package), Scatter Plots, Data Cleansing, Data Integration, Data Transformation, Big Data, Programming Principles, Python Programming

    Build toward a degree

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular cryptocurrency and blockchain courses

  • Advanced Kitbashing and Prop Creation: Packt
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Build and deploy a stroke prediction model using R: Coursera
  • Ethical Use of AI Agents and Agentic AI: SAS
  • Getting Started with BSP and Embedded C: Coursera
  • Advanced Backup Management and Recovery Scenarios: Packt
  • How to Develop and Maintain a Healthy Talent Pipeline: Coursera
  • Jenkins Pipeline: Declarative and IaC approaches for DevOps: Coursera
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus

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