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  • Introduction To Data Science In Python

Results for "introduction to data science in python"


  • Status: Preview
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    Siemens

    Introduction to Model-Based Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Unified Modeling Language, Systems Engineering, Systems Design, Software Systems, Systems Architecture, Systems Analysis, Simulations, Solution Architecture, System Requirements, Requirements Analysis, Verification And Validation, Functional Requirement, Cloud Computing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    67 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    EDUCBA

    Snake Game in Python with Pygame: Build & Customize

    Skills you'll gain: Video Game Development, Game Design, Python Programming, Debugging, Development Testing, Animation and Game Design, Software Testing, Programming Principles, Event-Driven Programming, Business Logic, User Interface (UI), User Interface (UI) Design, Development Environment

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Java Enterprise Edition (EE)

    Skills you'll gain: Java Platform Enterprise Edition (J2EE), Application Deployment, Web Applications, Application Servers, Java, Application Development, Web Development, Server Side, Application Frameworks

    4.6
    Rating, 4.6 out of 5 stars
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    78 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    INSEAD

    Introduction to Blockchain for Financial Services

    Skills you'll gain: Blockchain, Cryptography, Design, Emerging Technologies, Stakeholder Analysis, Distributed Computing, Financial Services, Public Key Cryptography Standards (PKCS), Information Privacy, Governance

    4.7
    Rating, 4.7 out of 5 stars
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    685 reviews

    Beginner · Course · 1 - 3 Months

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    Lund University

    Introduction to Particle Accelerators (NPAP MOOC)

    Skills you'll gain: Radiation Therapy, Medical Equipment, Radiography, Materials science, Semiconductors, Physics, Emerging Technologies, Laboratory Equipment, Medical Imaging, Electrical Engineering, Safety Assurance, Simulation and Simulation Software

    4.7
    Rating, 4.7 out of 5 stars
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    203 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google

    Using Python to Interact with the Operating System

    Skills you'll gain: Bash (Scripting Language), Unit Testing, Development Testing, Scripting, Unix Shell, Software Testing, Linux Commands, Test Driven Development (TDD), Unix Commands, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    6.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    AI Business School

    Introduction to AI for marketing professionals

    Skills you'll gain: Generative AI, Responsible AI, Business Risk Management, Marketing, Marketing Automation, AI Personalization, Artificial Intelligence, ChatGPT, MarTech, Digital Transformation, Automation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Computer Vision, Machine Learning Methods, Generative AI, Natural Language Processing, Scalability, Reinforcement Learning, Network Architecture, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
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    150 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

    4.6
    Rating, 4.6 out of 5 stars
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    103 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    AI Business School

    Introduction to AI for HR professionals

    Skills you'll gain: Responsible AI, Generative AI, Risk Management, Risk Analysis, Artificial Intelligence, Human Resources, Human Resource Strategy, Automation, Digital Transformation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Analyzing and Visualizing Data in Looker

    Skills you'll gain: Looker (Software), Dashboard, Data Visualization Software, Data Analysis, Data Sharing, Data Presentation, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    370 reviews

    Beginner · Course · 1 - 3 Months

Searches related to introduction to data science in python

introduction to data science and scikit-learn in python
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In summary, here are 10 of our most popular introduction to data science in python courses

  • Introduction to Model-Based Systems Engineering: Siemens
  • Snake Game in Python with Pygame: Build & Customize: EDUCBA
  • Introduction to Java Enterprise Edition (EE): LearnQuest
  • Introduction to Blockchain for Financial Services: INSEAD
  • Introduction to Particle Accelerators (NPAP MOOC): Lund University
  • Using Python to Interact with the Operating System: Google
  • Introduction to AI for marketing professionals: AI Business School
  • An Introduction to Practical Deep Learning: Intel
  • Mathematics for Machine Learning: Imperial College London
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University

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