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
their business, and IBM Watson enterprise AI is hard at work in more than
30,000 engagements. IBM also one of the world’s most vital corporate research
organizations, with 28 consecutive years of patent leadership. Above all,
guided by principles for trust and transparency and support for a more
inclusive society, IBM is committed to being a responsible technology innovator
and a force for good in the world.
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