Data Engineering
Data engineering is the practice of designing, building, and maintaining systems that collect, store, and transform raw data into actionable insights. As a software engineering discipline, it provides the foundation for data science and analytics by ensuring data reliability and accessibility through pipelines. Data engineers are in high demand for AI, analytics, and big data projects.
RInstructor: Rav Ahuja
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4 months at 10 hours per weekto complete
Flexible ScheduleLearn at your own pace
What you'll learn
Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL.
Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming
Skills you'll gain
Data ScienceData AnalysisDatabase AdministrationDatabase Design
Outcomes
Prepare for a career as a Data Engineer, Receive professional-level training, demonstrate your technical proficiency.
Earn an employer-recognized certificate.
Coureses
Professional Certificate - 16 course series
In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months.
Data engineering is building systems to gather data, process and organize raw data into usable information. Data engineers provide the foundational information that data scientists and business intelligence analysts use to make decisions.
Rav Ahuja
Global Program Director & IBM Skills Network
Instructor
Rav Ahuja is perhaps the most recognizable name from IBM on Coursera. He is the primary architect behind the massive IBM Data Science Professional Certificate and the IBM Applied AI Professional Certificate.
Pricing
Subscribe now to get full access to all course materials, assignments, and certificates. the cost is 85$