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  • A Crash Course In Data Science

Results for "a crash course in data science"


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    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California, Irvine

    Data Science Fundamentals

    Skills you'll gain: Analytical Skills, Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Data Strategy, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Statistical Modeling, Cloud Computing

    4.3
    Rating, 4.3 out of 5 stars
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    258 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    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
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    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Science, Data Warehousing, Data Visualization, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
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    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Assessment for Data Analysis and Visualization Foundations

    Skills you'll gain: Microsoft Excel, Analytical Skills, Spreadsheet Software, Dashboard, Data Analysis, IBM Cognos Analytics, Pivot Tables And Charts, Data Visualization, Data Presentation, Exploratory Data Analysis, Data Visualization Software, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
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    325 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: New
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    P

    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
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    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Data Wrangling, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Executive Data Science

    Skills you'll gain: Data Quality, Exploratory Data Analysis, Employee Onboarding, Data Management, Team Motivation, Technical Communication, Data Analysis, Data Presentation, Project Management, Interviewing Skills, Data Science, Data-Driven Decision-Making, Management Training And Development, Organizational Leadership, Team Management, Data Strategy, Workflow Management, Analytical Skills, Leadership, Communication

    4.5
    Rating, 4.5 out of 5 stars
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    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • 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
    I
    U
    I

    Multiple educators

    Data Science Foundations

    Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Presentation, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
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    116K reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular a crash course in data science courses

  • A Crash Course in Data Science: Johns Hopkins University
  • Data Science Fundamentals: University of California, Irvine
  • Data Science Beyond the Basics (ML+DS): Coursera
  • Introduction to Data Analytics: IBM
  • Data Science Fundamentals, Part 1: Pearson
  • Assessment for Data Analysis and Visualization Foundations: IBM
  • Data Science Fundamentals, Part 2: Pearson
  • What is Data Science? : IBM
  • Data Science: Foundations using R: Johns Hopkins University
  • Executive Data Science: Johns Hopkins University

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