Data Engineering Professional(Zero Experience)

Anyone who wants to develop job-ready skills, tools, and a portfolio for an entry-level data engineer position.

Category : Development,  Data Science,  Big Data

Instructor : Mostafa Nabieh

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What you'll learn

• You will become a junior data engineer
• You'll be able to discuss and carry out the key responsibilities of a data engineer.
• You will use the Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data.
• You will work with Relational Databases (RDBMS) and query data using SQL statements. You will use NoSQL databases and unstructured data.
• You will be introduced to Big Data and work with Big Data engines like Hadoop and Spark. You will gain experience with creating Data Warehouses.
• You will work with AWS Cloud(Free email for all students)
• Solve more than 115 Problem Solving for Python and more than 60 problem for SQL
• You will implement more than 5 projects

Description

Anyone who wants to develop job-ready skills, tools, and a portfolio for an entry-level data engineer position.

• You will become a junior data engineer
• You'll be able to discuss and carry out the key responsibilities of a data engineer.
• You will use the Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data.
• You will be introduced to Big Data and work with Big Data engines like Hadoop and Spark.  You will gain experience with creating Data Warehouses.
• You will work with AWS Cloud(Free email for all students)
• Solve more than 115 Problems Solving for Python and more than 60 problems for SQL
• You will implement more than 5 projects
• You will work with Relational Databases (RDBMS) and query data using SQL statements. You will use NoSQL databases and unstructured data.
• Develop and execute SQL queries using SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procedures, Nested Queries, and JOINs.
• Create, design, and manage relational databases and apply database administration (DBA) concepts to RDBMSes such as MySQL, PostgreSQL, and IBM Db2.
• Demonstrate NoSQL & Big Data knowledge using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, SQL, Spark ML, and Spark Streaming.
• Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, and deploy Data Warehouses; create BI reports & interactive dashboards.​