Those
of you who want to become a Data Engineer can take this course. We will review
it (Coursera).
What Will You Learn
Create
design and manage relational database and apply database administration (DBA)
concepts to RDBMSes such as MySQL, PostgreSQL & IBM Db2.
Develop
and execute SQL queries using select, insert, update, delete statements,
database functions, store procedures, nested Queries and Joins.
Demonstrate
working knowledge of NoSQL & Big Data Using MongoDB, Cassandra, Cloudant,
Hadoop, Apache Spark, Spark SQL, Spark ML, Spark Streaming
Implement
ETL & Data Pipelines with bash, Airflow & Kafka; Architect, Populate,
Deploy Data Warehouses; Create BI Reports & Interactive Dashboards.
Skill Will you Get
- Relational Databse Management Syste (RDBMS)
- ETL & Data Pipelines
- NoSQL and Big Data
- Apache Spark
- SQL
- Data Science
- Database
- NoSQL
- Python Programming
- Data Analysis
- Pandas
- Numpy
About this Professional
Certificate
This
Professional Certificate is for anyone who wants to develop job-ready skills,
tools, and a portofolio for an entry-level data engineer position. Through the
self-paced online course you will immerse yourself in the role of a data
engineer and acquire the essential skills you need to work wih a range of tools
and database to design, deploy, and manage structure and unstructured data.
By the
end of this professional certificate, you will be able to explain and perfrm
the key tasks required in a daa engineering role. 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 database and unstructure data. You will be introduced to big
Data and work wih Data engines like Hadoop adn Spark. You will gain experience
with creating Data Warehouses and utilize Business Intelligence tools to
analyze and extract insights.
Each
Course includes numerous hand-on labs & projects to apply the concepts and
skills you learn. The program will culminate in a capstone Project where you
will bring togeher all of these skills to develop and implement an entire data
platform with various data repositories and pipelines to address a real-world
inspired data analytics problem.
This
program does not require any prior data engineering, or programming experience.
Instructors
You
will be taught by great instructors from IBM:
- Rav Ahuja, Global Program Director
- Priya Kapoor, Senior Instructional Designer & Content Developer
- Joseph Santarcangelo, PhD Data Scientist IBM
- Ramesh Sannareddy, Data Negineering Subject Matter Expert
- Sandip Saha Joy, Data Scientist
- Lin Joyner, Senior Instructional Designer & Content Developer
- Rose Malcolm, Senior Instructional Designer & Content Developer
- Hima Vasudevan, Data Scientist
- Yan Luo, Ph.D, Data Scientist and Developer
- Jeff Grossman, Data Science and Engineering
- Sabrina Spillner, Senior Instructional Designer & Content Developer
- Steve Ryan, Instructional Designer & Content Developer
- Karthik Muthuraman, Software Engineer (Machine Learning)
- Aije Egwaikhide, Senior Data Scientist
- Romeo Kienzler, Chief Data Scientist, Course Lead
About IBM
IBM is the global eader in business transformation through an open hybrid cloud platform and AI, serving clients in more han 170 countries around the world. Today 47 of the he Fortune 50 companies rely on the IBM Cloud to run
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Provided by Coursera