Temperature trend
Analyse a long temperature record from one station and estimate the trend with its uncertainty.
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Data & AI · 09Beginner
Climate & Environment Data Scientist
Learners who want to apply data to ecology and climate.
Python, statistics and data analysis, applied to modelling climate anomalies and to ecology.
391hours of coursework
40weeks at 10 h
5steps
19courses
3universities
Target skills
Data VisualizationRegression AnalysisData AnalysisPython ProgrammingStatistical ModelingModel EvaluationStatistical AnalysisPredictive ModelingExploratory Data AnalysisStatistical MethodsMatplotlibMachine Learning Methods
Skill labels as listed on Coursera.
Target jobs
- Environmental data scientist
- Climate analyst
- Ecology research officer
Progression
- 1University of MichiganBeginnerPython, SQL, SQLite
Stated prerequisites: No prerequisites; designed as an on-ramp to programming
Show the 5 courses
Course Level Length Rating (reviews) Programming for Everybody (Getting Started with Python) Beginner 17 h 4.8 (233,775) Python Data Structures Beginner 20 h 4.9 (97,365) Using Python to Access Web Data Beginner 19 h 4.8 (44,591) Using Databases with Python Beginner 14 h 4.8 (21,659) Capstone: Retrieving, Processing, and Visualizing Data with Python Beginner 9 h 4.7 (14,483) - 2University of MichiganBeginnerPython, Jupyter, Matplotlib, NumPy, pandas, Seaborn, Statsmodels
Stated prerequisites: High school algebra; basic Python recommended
Show the 3 courses
Course Level Length Rating (reviews) Understanding and Visualizing Data with Python Beginner 20 h 4.7 (2,741) Inferential Statistical Analysis with Python Intermediate 22 h 4.6 (938) Fitting Statistical Models to Data with Python Intermediate 15 h 4.4 (718) - 3University of Colorado BoulderIntermediatePython
Stated prerequisites: Data Wrangling with Python specialization or equivalent skills
Show the 5 courses
Course Level Length Rating (reviews) Classification Analysis Intermediate 38 h — Regression Analysis Intermediate 40 h 4.9 (10) Clustering Analysis Intermediate 37 h 4.5 (11) Association Rules Analysis Intermediate 23 h 4.8 (13) Data Analysis with Python Project Intermediate 18 h — - 4University of Colorado BoulderIntermediatePython, pandas, NumPy, SciPy, Matplotlib
Stated prerequisites: Some experience with Python programming
Show the 3 courses
Course Level Length Rating (reviews) Global Climate Change Policies and Analysis Beginner 15 h — Modeling Climate Anomalies with Statistical Analysis Intermediate 7 h 3.8 (10) Predicting Extreme Climate Behavior with Machine Learning Intermediate 24 h — - 5Rice UniversityBeginner
Show the 3 courses
Course Level Length Rating (reviews) Introduction to Biology: Ecology Beginner 18 h 4.8 (184) Introduction to Biology: Evolution Beginner 12 h 4.9 (91) Introduction to Biology: Biodiversity Beginner 23 h 4.8 (84)
With Coursera Plus
This path takes 391 hours, about 9 months at 10 hours a week. A Coursera Plus subscription gives access to most of its courses during that time.
Projects to build
Anomaly map
Map one year’s temperature anomalies from gridded data.
Forecast an anomaly
Forecast next month’s anomaly with a simple model and compare it with persistence.
Biodiversity index
Compute diversity indices from public species observations (GBIF) for two regions.
Free textbooks
The Climate LaboratoryBrian E. J. RoseFree, CC BY 4.0
Think Stats, 3rd ed.Allen B. DowneyFree, non-commercial Creative Commons licence
Python for Data Analysis, 3rd ed.Wes McKinneyOpen access online
Biology 2eOpenStaxFree, CC BY 4.0