By Scientists for scientists

Data Management for Scientists & Engineers

Enthought Academy

Data Management for Scientists & Engineers

Track Data Analysis Track, Managerial Track

Data is a valuable scientific resource. In this course you will learn best practices about data stewardship as well as the digital skills needed to store, retrieve, and manage data.

While learning the technical Python skills required to effectively store and retrieve data from text files, relational databases, and structured data files, students will also gain exposure to the need for a data management plan, metadata, and long-term storage.

After this course, students will have both the skills and mindset needed to transform raw data collected for a single experiment into a long-term resource that can be mined for bmultiple purposes.

Course Hours20 hours

Course Overview

This course explores solutions for managing complex scientific data. Following Python Foundations, instruction supports the next step in the Manager Track and Data Analysis Track of study.


This course requires basic proficiency with Python and the scientific Python stack. Some practical experience with Jupyter Notebooks, NumPy (ndarrays), Pandas (DataFrames), and scientific visualization in Python using Matplotlib are essential to working with the code and concepts presented in this course. 

If you have taken Enthought’s Python Foundations for scientists and Engineers, you have the requisite background knowledge for this course.


Managing Scientific Data – Data Management Workflow
Raw Data – Pattern Matching, Analysis Ready
Structured Data (Text) – Parsing
Structured Data (Tabular I) – Relational Databases, Filtering, Indexing
Structured Data (Tabular II) – Normal Form, Keys, Joins
Structured Data (Media) – Image, Video, Audio
Semi-Structured Data – Flexible Schemas, Nested Relationships
State Data – Configuration, Objects
Data Curation – Tidy Data, Storage, Search, Documentation
Data Management Planning – Long Term Value


Enthought instructors have advanced degrees in scientific fields such as physics, engineering, computer science, and mathematics, and all have extensive experience through research and consulting in applying Python to solve complex problems across a range of industries, allowing them to bring their real world experience to the classroom every day.


csv, json, pandas, pickle, re, sqlite, uuid, yaml

Download the syllabus for this course here.


For more information, contact the Enthought Academy team.

Our Scientific Python Experts

Enthought Academy instructors are scientists and engineers themselves and have deep knowledge and understanding of the strategies and technologies covered in each track, and extensive practical experience applying Python to solve complex challenges across a range of science-based industries.

Alexandre Chabot-Leclerc

Director, Operations

Mark Dickinson

Principal Engineer, Software Architecture

Sandhya Govindraraju

Senior Scientific Software Developer

Kuya Takami

Senior DTX Services Consultant and Instructor

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