Why is it important for me to learn about cartography?

It's important to learn about cartography if you want to be able to incorporate maps into software programs or if you want to know more about the world's geography. Cartography is the art and science of drawing maps, and it is a fundamental of geographic information systems (GIS), including those that use the global positioning system (GPS). When you learn cartography, you will be able to include information about places in your work, whether through geo-visualization, map design, or data journalism. Cartography can help you add more information to analysis to include mapping, helping you and your organization make better decisions.

What are some career opportunities that arise from learning cartography?

Career opportunities that arise from learning cartography are varied: Some are in mapping and map design, while others are in data analysis that uses satellite imagery and other geo-visualization. Many people learn cartography because they are interested in the role of place in history, politics, and society. Adding spatial analysis to their work can give them richer perspectives. Many computer programmers are interested in the fundamentals of GIS so that they can incorporate it into data acquisition and location-based services. It is also useful to understand the power and limitations of cartography if you will be using reports and making decisions based on it.

How can online courses on Coursera help me learn cartography?

Online courses on Coursera can help you learn cartography in several languages and platforms, including Python, Kumu, and GeoDa. Some courses cover it from a programming perspective, while others look at the uses in spatial analysis, mapping, and geo-visualization. Cartography is also part of courses in history and society. Courses are offered at beginner, intermediate, and advanced levels. They include lectures, readings, and projects so that you can apply what you learn. There are also Guided Projects so that you can demonstrate and apply the knowledge that you already have. Some courses stand alone, and others are part of Specializations and Professional Certificates.

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Related topics:geografisch GIS raumbezogen Geografie QGIS Analytik

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50 Ergebnisse für „cartography“

University of California, Davis
Geographic Information Systems (GIS)
Kompetenzen, die Sie erwerben: Analysis, ArcGIS, Data Analysis, Data Management, Data Model, Data Structures, Data Visualization, Databases, Entrepreneurship, Geometry, Geovisualization, Leadership and Management, Machine Learning, Mathematics, Problem Solving, Research and Design, Software, Spatial Analysis, Spatial Data Analysis, Statistical Programming, Theoretical Computer Science
4.8
(5.6k Bewertungen)
Beginner · Specialization
University of California, Davis
Fundamentals of GIS
Kompetenzen, die Sie erwerben: Spatial Data Analysis, Theoretical Computer Science, Entrepreneurship, Analysis, Statistical Programming, Data Management, ArcGIS, Leadership and Management, Map, Data Analysis, Research and Design, Data Model, Geographic Information System, Problem Solving, Geovisualization, Spatial Analysis, Software, Data Structures, Data Visualization
4.8
(4.9k Bewertungen)
Beginner · Course
Kostenlos
Kostenlos
IBM
IBM Data Science
Kompetenzen, die Sie erwerben: Algebra, Algorithms, Analysis, Business Analysis, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Decision Tree, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, Regression, Regression Analysis, SPSS, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain Systems, Supply Chain and Logistics, Theoretical Computer Science
4.6
(93.8k Bewertungen)
Beginner · Professional Certificate
IBM
IBM Data Analyst
Kompetenzen, die Sie erwerben: Algebra, Analytics, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Modeling, NoSQL, Operating Systems, Pandas, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, Regression Analysis, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.6
(50.6k Bewertungen)
Beginner · Professional Certificate
IBM
Applied Data Science
Kompetenzen, die Sie erwerben: Algebra, Algorithms, Analysis, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Visualization, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Linear Regression, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science
4.6
(38.1k Bewertungen)
Beginner · Specialization
California Institute of the Arts
UI / UX Design
Kompetenzen, die Sie erwerben: Architecture, Business Psychology, Computer Architecture, Computer Networking, Computer Programming, Data Visualization, Design and Product, Entrepreneurship, Experience, Geovisualization, Human Computer Interaction, Interactive Design, Interfaces, Java Annotation, Java Programming, Leadership and Management, Marketing, Mobile Development, Network Architecture, Programming Principles, Research and Design, Sales, Strategy, Strategy and Operations, User Experience, User Experience Design, User Research, Web Design, Web Development
4.7
(6.2k Bewertungen)
Beginner · Specialization
SAS
SAS Visual Business Analytics
Kompetenzen, die Sie erwerben: Accounting, Analysis, Analytics, Business Analysis, Data Analysis, Data Mining, Data Visualization, Forecasting, Geovisualization, Machine Learning, Natural Language Processing, Probability & Statistics, SAS (Software), Software, Statistical Programming, Theoretical Computer Science
4.7
(904 Bewertungen)
Beginner · Professional Certificate
Johns Hopkins University
Epidemiology in Public Health Practice
Kompetenzen, die Sie erwerben: Data Analysis, Data Visualization, Disease, Entrepreneurship, Epidemiology, General Statistics, Geovisualization, Leadership and Management, Mapping, Probability & Statistics, Problem Solving, Public Health, Research and Design, Spatial Data Analysis, Statistical Tests
4.7
(3.8k Bewertungen)
Beginner · Specialization
University of Toronto
GIS, Mapping, and Spatial Analysis
Kompetenzen, die Sie erwerben: Analysis, ArcGIS, Business Analysis, Computer Vision, Data Analysis, Data Management, Data Model, Data Structures, Data Visualization, Data Visualization Software, Geometry, Geovisualization, Machine Learning, Mapping, Mathematics, Software, Spatial Analysis, Spatial Data Analysis, Statistical Programming, Theoretical Computer Science
4.9
(2.3k Bewertungen)
Beginner · Specialization

Suchanfragen mit Bezug zu cartography

cartographie thématique

Zusammenfassend sind hier 10 unserer beliebtesten cartography Kurse

Geographic Information Systems (GIS): University of California, Davis
Fundamentals of GIS: University of California, Davis
Maps and the Geospatial Revolution: The Pennsylvania State University
Geographical Information Systems - Part 2: École Polytechnique Fédérale de Lausanne
Cartographie thématique: École normale supérieure
IBM Data Science: IBM
IBM Data Analyst: IBM
Applied Data Science: IBM
UI / UX Design: California Institute of the Arts
SAS Visual Business Analytics: SAS

Fähigkeiten, die Sie bei Data Analysis erlernen können

Analytik (85)

Big Data (64)

Python-Programmierung (47)

Unternehmensanalytik (40)

R-Programmierung (37)

Statistische Analyse (36)

SQL (33)

Datenmodell (29)

Data-Mining (27)

Explorative Datenanalyse (26)

Datenmodellierung (21)

Datenmanipulation (20)

Häufig gestellte Fragen zum Thema Cartography

It's important to learn about cartography if you want to be able to incorporate maps into software programs or if you want to know more about the world's geography. Cartography is the art and science of drawing maps, and it is a fundamental of geographic information systems (GIS), including those that use the global positioning system (GPS). When you learn cartography, you will be able to include information about places in your work, whether through geo-visualization, map design, or data journalism. Cartography can help you add more information to analysis to include mapping, helping you and your organization make better decisions.‎
Career opportunities that arise from learning cartography are varied: Some are in mapping and map design, while others are in data analysis that uses satellite imagery and other geo-visualization. Many people learn cartography because they are interested in the role of place in history, politics, and society. Adding spatial analysis to their work can give them richer perspectives. Many computer programmers are interested in the fundamentals of GIS so that they can incorporate it into data acquisition and location-based services. It is also useful to understand the power and limitations of cartography if you will be using reports and making decisions based on it.‎
Online courses on Coursera can help you learn cartography in several languages and platforms, including Python, Kumu, and GeoDa. Some courses cover it from a programming perspective, while others look at the uses in spatial analysis, mapping, and geo-visualization. Cartography is also part of courses in history and society. Courses are offered at beginner, intermediate, and advanced levels. They include lectures, readings, and projects so that you can apply what you learn. There are also Guided Projects so that you can demonstrate and apply the knowledge that you already have. Some courses stand alone, and others are part of Specializations and Professional Certificates.‎

Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.