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  • Introduction To Data Science In Python

Results for "introduction to data science in python"


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

    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, AWS SageMaker, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Deep Learning, A/B Testing, Python Programming, Machine Learning, Data Analysis, Data Processing, AWS CloudFormation, AI Personalization, Network Architecture

    4.4
    Rating, 4.4 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Basic Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software

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

    Beginner · Course · 1 - 3 Months

  • U

    University of Illinois at Urbana-Champaign

    Master of Computer Science (feat. Data Science Track)

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    I

    IBM

    Hands-on Introduction to Linux Commands and Shell Scripting

    Skills you'll gain: Linux Commands, Bash (Scripting Language), Shell Script, File Management, Linux, Unix Commands, Linux Servers, Scripting, Command-Line Interface, Ubuntu, Scripting Languages, Unix, Operating Systems, Network Protocols, Automation, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
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    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Data Structures, Microsoft Copilot, .NET Framework, Algorithms, Back-End Web Development, Pseudocode, C# (Programming Language), Performance Tuning, Programming Principles, Server Side, Scalability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Analytics with Excel and R

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Dashboard, Data Wrangling, Exploratory Data Analysis, Relational Databases, Data Analysis, Big Data, IBM Cognos Analytics, Ggplot2, Statistical Analysis, Microsoft Excel, Excel Formulas, Data Manipulation, Web Scraping

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Introduction to Participatory Approaches in Public Health

    Skills you'll gain: Public Health, Community Health, Health Policy, Health Equity, Social Determinants Of Health, Social Sciences, Cultural Responsiveness, Qualitative Research, Program Evaluation, Research Methodologies, Collaboration

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Data, Signal, and Image Analysis with MATLAB

    Skills you'll gain: Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Scatter Plots, Dimensionality Reduction, Classification And Regression Tree (CART), Data Analysis, Histogram, Data Processing, Computer Vision, Regression Analysis, Digital Communications

    4.7
    Rating, 4.7 out of 5 stars
    ·
    229 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Exception Handling in Python

    Skills you'll gain: Code Review, Debugging, Scripting, Python Programming, Programming Principles, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    71 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    P

    Pearson

    Introduction to Django

    Skills you'll gain: Django (Web Framework), Development Environment, Authentications, Model View Controller, Web Development, Software Installation, Application Frameworks, Integrated Development Environments, Security Controls, Virtual Environment, System Configuration, Application Development, Application Deployment, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    The Data Science Profession – Student View

    Skills you'll gain: Data Literacy, Unsupervised Learning, Data Science, Applied Machine Learning, Data Analysis, Machine Learning, Big Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    69 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Data Science Beyond the Basics (ML+DS): Coursera
  • Basic Statistics: University of Amsterdam
  • Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign
  • Hands-on Introduction to Linux Commands and Shell Scripting: IBM
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Data Structures and Algorithms: Microsoft
  • IBM Data Analytics with Excel and R: IBM
  • Introduction to Participatory Approaches in Public Health : Imperial College London
  • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
  • Exception Handling in Python: Coursera

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