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  • Introduction To Data Science

Results for "introduction to data science"


  • Status: Free Trial
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    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: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Statistical Visualization, Mathematical Software, Statistical Inference

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
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    13 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: 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

  • 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

  • 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: 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 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
    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: 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
    U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Data Science, R Programming, Probability & Statistics, Supervised Learning, Machine Learning, Applied Machine Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Intermediate · 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
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Der Werkzeugkasten des Data Scientist: Johns Hopkins University
  • Key Technologies in Data Analytics: LearnQuest
  • Algebra and Differential Calculus for Data Science: University of Colorado Boulder
  • Applied Data Science: Clemson University
  • 데이터 과학이란 무엇인가?: IBM
  • Data Science as a Field: University of Colorado Boulder
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt

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