Last updated 6/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.14 GB | Duration: 5h 4m
Data Engineering Practical Program(Arabic)
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
Requirements
No programming experience needed
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 engineerYou’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 SQLYou will implement more than 5 projectsYou 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.
Overview
Section 1: Introduction
Lecture 1 Data Engineering Program
Lecture 2 Contact me
Lecture 3 Introduction
Lecture 4 Colab Book
Lecture 5 How to submit your answer?
Lecture 6 Master Colab 1
Lecture 7 Master Colab 2
Lecture 8 Master Colab 3
Lecture 9 HackerRank
Lecture 10 Keywords and Identifiers
Lecture 11 Variables and Constants
Lecture 12 Type Conversion
Lecture 13 Statement & Comments
Lecture 14 I/O and Import
Lecture 15 Python Operators 1
Lecture 16 Python Operators 2
Section 2: Python Flow Control
Lecture 17 if…else Statement
Lecture 18 Nested if
Lecture 19 While Loop
Lecture 20 For loop
Lecture 21 Break and Continue
Section 3: Python Functions
Lecture 22 Functions
Lecture 23 Function Arguments
Lecture 24 Recursion
Lecture 25 Anonymous/Lambda Function
Anyone who wants to develop job-ready skills, tools, and a portfolio for an entry-level data engineer position.
Homepage
https://www.udemy.com/course/data-engineering-professionalzero-experience/
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