Google Data Analytics Professional Certificate
Nine courses from framing a question to presenting results with spreadsheets, SQL, Tableau and Python, ending in a case study. Completion earns Google's career certificate.
- Provider
- Google on Coursera
- Section
- Data Science & AI
- Price
- $49.00
About this course
Nine courses from framing a question to presenting results with spreadsheets, SQL, Tableau and Python, ending in a case study. Completion earns Google's career certificate.
Where to take it
$49.00
as read on the provider's page; check the current terms there
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Browse More Data Science & AI CoursesWhere this course fits
Certifications in this area
Concepts behind this area
Computer Vision
Computer vision is the branch of artificial intelligence that turns images and video into structured answers: what is in the frame, where it sits, which pixels belong to it, and where it moves next.
Agentic AI
Agentic AI is software that wraps a language model in a loop where it can request actions from real tools, read what each action returns, and choose the next move until the job is finished or a rule stops it.
MLOps
MLOps is the engineering practice of keeping a trained model useful in production: recording what produced it, serving it, watching for the day its answers stop matching the world, and retraining or reverting before anyone downstream is harmed by the gap.
Data Analysis
Data analysis is the practice of interrogating data to answer a specific question, and of establishing how much weight the answer can bear.
Data Wrangling
Data wrangling is the work of repairing and reshaping real records, and of deciding what their gaps and inconsistencies mean, until a table can be trusted with the question being asked of it.
Data Visualization
Data visualisation is the practice of encoding numbers as position, length and colour so that a comparison a reader would otherwise have to calculate becomes something they can simply see.
The field, explained: Artificial Intelligence & Machine Learning · Data & Analytics
Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.
