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  • Introduction To Data Science

Results for "introduction to data science"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data – What It Is, What We Can Do With It

    Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Der Werkzeugkasten des Data Scientist

    Skills you'll gain: Rmarkdown, Data Science, Version Control, R (Software), Big Data, R Programming, Data Visualization Software, General Science and Research, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Exploratory Data Analysis, Integrated Development Environments, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Data Responsibility

    Skills you'll gain: Data Ethics, Data Quality, Data Sharing, Information Privacy, Data Analysis, Informed Consent

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Key Technologies in Data Analytics

    Skills you'll gain: Data Warehousing, Data Analysis, Cloud Computing, Data Architecture, Big Data, Cloud Services, Analytics, Analysis, Data Storage, Cloud Computing Architecture, Cloud Infrastructure, Cloud Solutions, Scalability, Data Processing, Extract, Transform, Load, Cloud Platforms, Public Cloud, Software As A Service, Statistical Analysis, Data Strategy

    3.7
    Rating, 3.7 out of 5 stars
    ·
    156 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Descriptive Statistics, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Predictive Modeling, Machine Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science as a Field

    Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis, Applied Mathematics, Statistics, Computer Science

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Algebra and Differential Calculus for Data Science

    Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    260 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    데이터 과학이란 무엇인가?

    Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Digital Transformation, Big Data, Data Analysis, Business Analytics, Regression Analysis, Analytics, Apache Hadoop, Health Informatics, Deep Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Basic Data Processing and Visualization

    Skills you'll gain: Data Processing, Data Manipulation, Data Visualization, Interactive Data Visualization, Web Scraping, Data Visualization Software, Pandas (Python Package), Data Science, Data Cleansing, Matplotlib, Data Import/Export, NumPy, Jupyter, JSON, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    198 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

Searches related to introduction to data science

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1…678…834

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

  • Data – What It Is, What We Can Do With It: Johns Hopkins University
  • Der Werkzeugkasten des Data Scientist: Johns Hopkins University
  • Data Responsibility: Google
  • Key Technologies in Data Analytics: LearnQuest
  • Applied Data Science: Clemson University
  • Data Science as a Field: University of Colorado Boulder
  • Algebra and Differential Calculus for Data Science: University of Colorado Boulder
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • The Data Scientist’s Toolbox: Johns Hopkins University
  • 데이터 과학이란 무엇인가?: IBM

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