Intermediate Python programming knowledge, Intermediate SQL knowledge and linear algebra mastery
Udacity current price ( USD)
This program is designed to prepare people to become data engineers. This includes job titles such as analytics engineer, big data engineer, data platform engineer, and others. Data engineering skills are also helpful for adjacent roles, such as data analysts, data scientists, machine learning engineers, or software engineers.
Data engineers are responsible for making data accessible to all the people who use it across an organization. That could mean creating a data warehouse for the analytics team, building a data pipeline for a frontend application, or summarizing massive datasets to be more user-friendly.
Students who want to enter field of Data Engineering. Software developers and analysts are good candidates for this.
Build the infrastructure for a company to collect, store, and access data. Build databases and pipelines so that data analysts and data scientists can access the right data in the right way.
What They Need: Computer that can install/run the below programs, need an AWS account (we provide $100 in credit for this, they have to enter their credit card when they set up their account)
What They Will Learn/Use: Python, SQL, Cassandra (database), AWS, Apache Spark, Apache Airflow
• Data Modeling with PostgreSQL
• Data Modeling with Apache Cassandra
• Build a Cloud Data Warehouse
• Build a Data Lake
• Data Pipelines with Airflow
• Capstone – define the scope of the project and the data you’ll be working with. You’ll gather data from several different data sources; transform, combine, and summarize it; and create a clean database for others to analyze.
Resources (blog posts, other)
- Lectures 0
- Quizzes 0
- Duration 5 months
- Skill level All levels
- Students 0
- Assessments Yes