- Statistics
- Data Analysis
- Data-Driven Decision-Making
- Data Visualization
- Technical Communication
- Data Presentation
- Exploratory Data Analysis
- Data Science
- Data Ethics
- Statistical Reporting
- Computer Science
- Applied Mathematics
Data Science as a Field
Completed by Carlos Lorena Neto
October 15, 2022
10 hours (approximately)
Carlos Lorena Neto's account is verified. Coursera certifies their successful completion of Data Science as a Field
What you will learn
By taking this course, you will be able explain what data science is and identify the key disciplines involved.
You will be able to use the steps of the data science process to create a reproducible data analysis and identify personal biases.
You will be able to identify interesting data science applications, locate jobs in Data Science, and begin developing a professional network.
Skills you will gain
