Download Coursera – IBM Data Engineering Professional Certificate 2024-5 + Farsi Subtitles

IBM Data Engineering

Description

IBM Data Engineering Professional Certificate is a set of specialization courses that will help you get a new job in the field of data engineering. By completing this course, you will master the skills of working with SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data and Spark along with the skills required for your job.

What you will learn in the IBM Data Engineering Professional Certificate course series:

  • RDBMS basics including database design and construction, schemas and tables, database management, security and working with MySQL, PostgreSQL and IBM Db2
  • SQL query language (SELECT, INSERT, UPDATE, DELETE statements), database functions, working with different tables, JOINs and transactions
  • NoSQL and Big Data concepts including working with MongoDB, Cassandra, IBM Cloudant, Apache Hadoop, Apache Spark, SparkSQL, SparkML, Spark Streaming

Course details:

Publisher: Coursera
teacher: Rav Ahuja, Priya Kapoor, Joseph Santarcangelo, Ramesh Sannareddy, Sandip Saha Joy, Lynn Joyner, Rose Malcolm, Hima Vasudevan, Steve Ryan, Karthik Muthuraman, Aije Egwaikhide, Romeo Kienzler, Yan Luo, Jeff Grossman And Sabrina Spillner
English language
Training level: advanced
Number of courses: 13
Duration: assuming 10 hours of work per week, 5 months

Courses available in the IBM Data Engineering Professional Certificate collection:

IBM Data Engineering Professional Certificate course prerequisites:

This Professional Certificate is open for anyone with any job and academic background. It pre-reqs basic IT literacy and knowledge of IT infrastructure and working familiarity with Windows, Linux or MacOS. No prior computer programming experience is necessary, but is an asset, as is high school math.

Pictures

IBM Data Engineering Professional Certificate

Sample video of IBM Data Engineering Professional Certificate:

Installation guide

After Extract, view with your favorite Player.

Subtitle: English, Farsi

Note: Farsi subtitles are not provided for all courses and courses, and every available item is included.

Quality: 720p

This collection includes 13 different courses.

Introduction to Data Engineering course: 2023/8 version compared to 2022/3 has a total of 24 documents (quizzes, projects, highlights, etc.) and 1 video for a duration of 1 minute.

Python for Data Science, AI & Development course: 2023/8 version compared to 2022/3 has a total of 3 documents (quizzes, projects, highlights, etc.) and 6 videos for a duration of 26 minutes.

Python Project for Data Engineering course: version 8/2023 compared to 2022/3, a total of 4 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.

Introduction to Relational Databases (RDBMS) course: 2023/8 version compared to 2022/3, a total of 17 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.

The Databases and SQL for Data Science with Python course: 2023/8 version compared to 2022/3 has a total of 4 documents (quizzes, projects, highlights, etc.) and 3 videos for a duration of 9 days, and also from 6 chapters to 4 The season has changed.

Hands-on Introduction to Linux Commands and Shell Scripting course: 2023/8 version compared to 2022/3 has a total of 12 documents (quizzes, projects, highlights, etc.) and 6 videos for a duration of 40 minutes, and also from 3 chapters The season has changed to 4 chapters.

Relational Database Administration (DBA) course: 2023/8 version compared to 2022/3, a total of 14 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.

ETL and Data Pipelines with Shell, Airflow and Kafka course: 2023/8 version compared to 2022/3, a total of 7 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.

Getting Started with Data Warehousing and BI Analytics course: 8/2023 version compared to 2022/3 has a total of 8 documents (quizzes, projects, highlights, etc.) and 1 video for a duration of 9 minutes.

Introduction to NoSQL Databases course: 2023/8 version compared to 2022/3, a total of 18 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.

Introduction to Big Data with Spark and Hadoop course: 2023/8 version compared to 2022/3, a total of 50 documents (quizzes, projects, highlights, etc.) have increased and the videos have not changed.

Data Engineering and Machine Learning using Spark course: 2023/8 version compared to 2022/3, a total of 5 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.

Data Engineering Capstone Project course: 2023/8 version compared to 2022/3, a total of 23 documents (quizzes, projects, highlights, etc.) and 8 videos for a duration of 13 minutes have been added, as well as a change from 2 chapters to 7 chapters has done.

The 8/2023 version has increased the number of 15 lessons and the duration of 1 hour 40 minutes compared to 2024/5.

download link

Introduction to Data Engineering

Download the course – 854 MB

Python for Data Science, AI & Development

Download the course – 143 MB

Python Project for Data Engineering

Download the course – 9 MB

Introduction to Relational Databases (RDBMS)

Download the course – 236 MB

Databases and SQL for Data Science with Python

Download the course – 194 MB

Hands-on Introduction to Linux Commands and Shell Scripting

Download the course – 138 MB

Relational Database Administration (DBA)

Download the course – 229 MB

ETL and Data Pipelines with Shell, Airflow and Kafka

Download the course – 176 MB

Getting Started with Data Warehousing and BI Analytics

Download the course – 226 MB

Introduction to NoSQL Databases

Download the course – 311 MB

Introduction to Big Data with Spark and Hadoop

Download the course – 327 MB

Machine Learning with Apache Spark

Download the course – 196 MB

Data Engineering Capstone Project

Download the course – 29 MB

Password file(s): www.downloadly.ir

Size

2.8 GB

4.2/5 – (6332 points)

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