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  • Introduction To Data Science In Python

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Results for "introduction to data science in python"


  • Status: New
    New
    P

    Packt

    Survey of Data Science

    Skills you'll gain: Data Mining, Logistic Regression, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Developing AI Applications with Python and Flask

    Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Web Applications, Python Programming, AI Enablement, Server Side, Artificial Intelligence, Code Review, Debugging, Integrated Development Environments, Programming Principles, Unit Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to CRM with HubSpot

    Skills you'll gain: HubSpot CRM, Customer Relationship Management, Customer Data Management, Email Marketing, Marketing Materials, Business Software, Sales Pipelines, Dashboard, Data Management, Customer Service, Marketing, Sales Operations, Collaborative Software, Team Oriented

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    232 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Evaluations of AI Applications in Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Responsible AI, Medical Devices, Artificial Intelligence, Health Technology, Healthcare Industry Knowledge, Clinical Assessment, Model Evaluation, Health Equity, Health Informatics, Regulatory Compliance, Application Deployment, Continuous Monitoring, Decision Support Systems, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    324 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    AI in Healthcare Capstone

    Skills you'll gain: Model Deployment, Health Informatics, Model Evaluation, Clinical Data Management, Healthcare Ethics, Responsible AI, Data Collection, Applied Machine Learning, Health Care Procedure and Regulation, Machine Learning Software, Artificial Intelligence, Performance Tuning, Risk Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    298 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Data Science Graduate Certificate

    Skills you'll gain: Model Evaluation, Data Mining, Unsupervised Learning, Supervised Learning, Deep Learning, Service Level, Probability, Statistical Modeling, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Applied Machine Learning, Anomaly Detection, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Exploratory Data Analysis, Dimensionality Reduction, Performance Testing, Bash (Scripting Language), Data Science

    Credit offered

    Graduate Certificate · 6 - 12 Months

  • Status: Free Trial
    Free Trial
    D
    A

    Multiple educators

    DeepLearning.AI Data Engineering

    Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Vector Databases, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Dataflow, Data Integration, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    562 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Foundations using R

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of California, Davis

    Materials Science: 10 Things Every Engineer Should Know

    Skills you'll gain: Materials science, Semiconductors, Engineering, Mechanical Engineering, Failure Analysis, Structural Analysis, Electrical Engineering, Chemical Engineering, Thermal Management, Electronic Components, Electronics Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 3 Months

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

  • Survey of Data Science: Packt
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Developing AI Applications with Python and Flask: IBM
  • Introduction to CRM with HubSpot: Coursera
  • Classification Trees in Python, From Start To Finish: Coursera
  • Evaluations of AI Applications in Healthcare: Stanford University
  • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
  • AI in Healthcare Capstone: Stanford University
  • Data Science Graduate Certificate: University of Colorado Boulder
  • DeepLearning.AI Data Engineering: DeepLearning.AI

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