Hydro.Data Management (SQLite and Python)
Description
Hydrological data management involves collecting, storing, analysing, and visualizing data related to water resources. SQLite is a lightweight, serverless, and self-contained database system that can be used to store hydrological data in a structured manner. Python, on the other hand, is a powerful and popular programming language with many libraries, packages, and tools for data manipulation, analysis, and visualization. Together, SQLite and Python can be used to build an efficient and effective hydrological data management system that can handle large volumes of hydrological data, automate routine tasks, and generate insights for better decision-making.
What Will I Learn?
- DB Browser for SQLite
- Python programming
- Hydrological Data Retrieval using Python
- Data Management
Topics for this course
Day 1: Introduction
Day 2: Introduction to SQLite
Day 3: Working on SQLite
Day 4: Introduction to Python
Day 5: Coding in Python
Day 6: Retrieving Hydrological Data available in Excel
Day 7: USGS Data Retrieval
Day 8: Integrating Python and SQLite
Day 9: Integrating Python and SQLite and conclusion
Course materials link
About the instructors
14 Courses
293 students
1 Courses
0 students
overall good
It was very wonderful to attend all those training sessions. After completing the training, I have developed high confidence to deal with bulky hydrological data.
Material Includes
- Data for learning
- Software are open source
Enrolment validity: Lifetime
Requirements
- Individual Laptop
- Basic coding skills
- Desire in data science
Target Audience
- Graduate Engineers interested in Water Resource Engineering
Payment partners
