Overview
This Python, Bash and SQL Essentials for Data Engineering course is offered by Coursera in partnership with Duke University.
What you'll learn
Develop data engineering solutions with a minimal and essential subset of the Python language and the Linux environment
Design scripts to connect and query a SQL database using Python
Use a scraping library in Python to read, identify and extract data from websites
Skills you'll gain
- Computer Programming
- Computer Programming Tools
- Python Programming
- Programming Principles
- Data Management
- Data Structures
- Databases
- Amazon Web Services
- Data Analysis
- SQL
- DevOps
Key facts
- If you are interested in developing the skills needed to be a data engineer, the Python, Bash and SQL Essentials for Data Engineering Specialization is a great place to start.
- We live in a world that is driven by big data - from what we search online to the route we take to our favorite restaurant, and everything in between.
- Businesses and organizations use this data to make decisions that impact the ways in which we navigate our lives.
- How do engineers collect this data? How can this data be organized so that it can be appropriately analyzed? A data engineer is specialized in this initial step of accessing, cleaning and managing big data.
Programme Structure
Courses included:
- Python and Pandas for Data Engineering
- Linux and Bash for Data Engineering
- Scripting with Python for Data Engineering
- Web Applications and Command-Line Tools for Data Engineering
Key information
Duration
- Part-time
- 4 months
- 5 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Data Analytics View 179 other Short Courses in Data Analytics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- Students should have beginner level Linux skills. No experience in Python is required.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.