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  • Introduction To Data Science

Results for "introduction to data science"


  • Status: New
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    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

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    Beginner · Course · 1 - 4 Weeks

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    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

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    T

    Tableau Learning Partner

    Introduction to Business Analytics

    Skills you'll gain: Data Literacy, Tableau Software, Business Analysis, Business Process, Analytics, Business Analytics, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Project Management, Data Presentation, Descriptive Analytics, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
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    478 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • Status: Preview
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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    732 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Visualization and Transformation with R

    Skills you'll gain: Exploratory Data Analysis, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Statistical Methods, Data Wrangling, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Data Manipulation, Statistical Programming

    4.8
    Rating, 4.8 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    M

    MathWorks

    Data Science Companion

    Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Supervised Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

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    N

    Northeastern University

    Foundations for Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Data Manipulation, Descriptive Statistics, Data Processing, Data Cleansing, Programming Principles, Data Visualization, Python Programming, Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Intro to Data Analytics, SQL, and EDA Using Python

    Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    SQL for Data Science Capstone Project

    Skills you'll gain: Presentations, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Statistical Analysis, Data Modeling, Performance Metric, Business Analytics, Text Mining, Data Science, Target Audience, Data Manipulation, Proposal Development

    4.2
    Rating, 4.2 out of 5 stars
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    251 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    How to Create and Explore a Data Set

    Skills you'll gain: Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistical Software, Statistics, Data Management, Research, Psychology

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Data Analysis Using Python

    Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Visualization, Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Python Programming, Data Structures, Programming Principles, Scripting Languages

    4.5
    Rating, 4.5 out of 5 stars
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    428 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to introduction to data science

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1…789…834

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

  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
  • Basic Data Processing and Visualization: University of California San Diego
  • Introduction to Business Analytics: Tableau Learning Partner
  • Introduction to Probability and Data with R: Duke University
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Data Visualization and Transformation with R: Duke University
  • Data Science Companion: MathWorks
  • Foundations for Data Analytics Part 1: Northeastern University
  • Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
  • SQL for Data Science Capstone Project: University of California, Davis

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