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    • Gis

    GIS Courses Online

    Explore GIS (Geographic Information Systems) for spatial data analysis. Learn to collect, manage, and analyze geographic data using GIS tools.

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    Explore the GIS Course Catalog

    • U

      University of Illinois Urbana-Champaign

      Exploring and Producing Data for Business Decision Making

      Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Exploratory Data Analysis for the Public Sector with ggplot

      Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Data Presentation, Ggplot2, Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Graphic and Visual Design, Histogram, Tidyverse (R Package), Public Administration, Trend Analysis, Policy Analysis

      5
      Rating, 5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Fundamentals of Database Systems

      Skills you'll gain: Information Systems, Database Software, Database Systems, Database Design, Information Management, Databases, Relational Databases, Database Management, Data Management

      4.2
      Rating, 4.2 out of 5 stars
      ·
      27 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Resampling, Selection and Splines

      Skills you'll gain: Data Science, Statistical Machine Learning, Dimensionality Reduction, Advanced Analytics, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Predictive Modeling, Probability Distribution, Performance Tuning

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Transforming Exploratory Data Analysis with AI

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, OpenAI, Data-Driven Decision-Making, Analytical Skills, Artificial Intelligence, Data Analysis, Prompt Engineering, Pandas (Python Package), Automation, Data Visualization Software, Descriptive Statistics

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Visualizing Data in the Tidyverse

      Skills you'll gain: Ggplot2, Plot (Graphics), Statistical Visualization, Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Histogram, Animations, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Mixed · Course · 1 - 3 Months

    • N

      Northeastern University

      Healthcare Information Design and Visualizations

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Visualization Software, Data Presentation, Interactive Data Visualization, Infographics, Tableau Software, Dashboard, Data Analysis, Data-Driven Decision-Making, Data Ethics, Trend Analysis, Peer Review

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Applied Plotting, Charting & Data Representation in Python

      Skills you'll gain: Matplotlib, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      B

      Ball State University

      Introduction to Data Science

      Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Data Literacy, Sampling (Statistics), Data Science, R Programming, Data Structures, Data Integrity, Information Privacy, Tidyverse (R Package), Data Manipulation, Ggplot2, Ethical Standards And Conduct

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      B

      Ball State University

      Data Visualization

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Data Visualization Software, Ggplot2, Interactive Data Visualization, Statistical Visualization, Visualization (Computer Graphics), R Programming, Data Storytelling, Data Presentation, Histogram, Scatter Plots, Data Analysis, Data Manipulation

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular gis courses

    • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
    • Exploratory Data Analysis for the Public Sector with ggplot: University of Michigan
    • Fundamentals of Database Systems: Coursera Project Network
    • Resampling, Selection and Splines: University of Colorado Boulder
    • Transforming Exploratory Data Analysis with AI: Coursera Instructor Network
    • Visualizing Data in the Tidyverse: Johns Hopkins University
    • Healthcare Information Design and Visualizations: Northeastern University
    • Applied Plotting, Charting & Data Representation in Python: University of Michigan
    • Introduction to Data Science: Ball State University
    • Data Visualization: Ball State University

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    Python Programming (47)
    Business Analytics (40)
    R Programming (37)
    Statistical Analysis (36)
    Sql (33)
    Data Model (29)
    Data Mining (27)
    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

    Frequently Asked Questions about Gis

    GIS courses cover a variety of topics essential for understanding and applying Geographic Information Systems (GIS) technology. These include the basics of GIS, spatial data analysis, and cartography. Learners will explore topics such as data collection methods, GIS software tools (like ArcGIS and QGIS), and geographic data visualization. Advanced courses might cover remote sensing, spatial database management, and advanced spatial analysis techniques. Practical exercises and projects help learners apply these concepts to real-world scenarios, enhancing their ability to use GIS for mapping and spatial data analysis.‎

    Choosing the right GIS course depends on your current skill level and career aspirations. Beginners should look for courses that introduce the fundamentals of GIS, including basic concepts, software tools, and simple mapping techniques. Those with some experience might benefit from intermediate courses focusing on advanced spatial analysis, remote sensing, and data visualization. Advanced learners or professionals seeking specialized knowledge might consider courses on spatial database management, geospatial programming, or preparing for certifications like GISP (GIS Professional). Reviewing course content, instructor expertise, and learner feedback can help ensure the course aligns with your goals.‎

    A certificate in GIS can open up various career opportunities in fields such as urban planning, environmental science, and geography. Common roles include GIS analyst, cartographer, urban planner, and environmental consultant. These positions involve analyzing spatial data, creating maps, managing GIS databases, and applying GIS technology to solve geographic and environmental problems. With the increasing use of GIS technology in various industries, earning a GIS certificate can significantly enhance your career prospects and opportunities for advancement in fields such as government, environmental management, natural resource management, and public health.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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