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Gain a baseline understanding of the core concepts, tools, and roles in Data Science.

This foundation-level level course introduces the multi-disciplinary Data Science team to the many evolving and related terms. It includes a focus on Big Data, Data Science, Predictive Analytics, Artificial Intelligence, Data Mining, and Data Warehousing. You’ll also explore the current state of the art and science, the major components of a modern data science infrastructure, team roles and responsibilities, and level-setting of possible outcomes for your investment.

This course provides a high-level view of current data science related technologies, concepts, strategies, skillsets, initiatives and supporting tools in common business enterprise practices. This goal of this course is to provide you with a baseline understanding of core concepts.

Learn more about this topic. View the recorded webinar AI + Coronavirus + DI: Using Technology to Restart Your Business Safely

Who Should Attend?

Business Analysts, Data Analysts, Data Architects, Database Administrators, Network Administrators (Grid), Developers, Technical Manager, or anyone else in the data science realm who needs to have a baseline understanding of the core areas of modern Data Science technologies, practices, and tools.

Attendees should have:

Exposure to Enterprise Information Technology
Familiarity with Relational Databases

Join an engaging learning environment, where you’ll explore:

Foundations: Grids & Virtualization; SOA, ESB/EMB and the Cloud
The Hadoop Ecosystem: HDFS, Resource Navigators, MapReduce, Spark, and Distributions
Big Data, NOSQL, and ETL
ETL: Exchange, Transform, Load
Handling Data and a Survey of Useful tools
Enterprise Integration Patterns and Message Busses
Developing in Hadoop Ecosystem: R, Python, Java, Scala, Pig, and BPMN
Artificial Intelligence and Business Systems
Who’s on the Team? Roles and Functions in Data Science
Growing your Infrastructure

This is a seminar-style course that combines engaging expert lectures, pertinent skills, tool demonstrations, and group discussions.

Foundations

Grids and Virtualization
Service-Oriented Architecture
Enterprise Service Bus
Enterprise Message Bus
The Cloud

The Hadoop Ecosystem

HDFS: Hadoop Distributed File System
Resource Negotiators: YARN, Mesos, and Spark; ZooKeeper
Hadoop Map/Reduce
Spark
Hadoop Ecosystem Distributions: Cloudera, Hortonworks, OpenSource

Big Data, NOSQL, and ETL

Big Data vs. RDBMS
NOSQL: Not Only SQL
Relational Databases: Oracle, MariaDB, DB/2, SQL Server, PostGreSQL
Key/Value Databases: JBoss Infinispan, Terracotta, Dynamo, Voldemort
Columnar Databases: Cassandra, HBase, BigTable
Document Databases: MongoDB, CouchDB/CouchBase
Graph Databases: Giraph, Neo4J, GraphX
Apache Hive
Common Data Formats
Leveraging SQL and SQL variants

ETL: Exchange, Transform, Load

Data Ingestion, Transformation, and Loading
Exporting Data
Sqoop, Flume, Informatica, and other tools

Enterprise Integration Patterns and Message Busses

Enterprise Integration Patterns: Apache Camel and Spring Integration
Enterprise Message Busses: Apache Kafka, ActiveMQ, and other tools

Developing in Hadoop Ecosystem

Languages: R, Python, Java, Scala, Pig, and BPMN
Libraries and Frameworks
Development, Testing, and Deployment

Artificial Intelligence and Business Systems

Artificial Intelligence: Myths, Legends, and Reality
The Math
Statistics
Probability
Clustering Algorithms, Mahout, MLLib, SciKit, and Madlib
Business Rule Systems: Drools, JRules, Pegasus

The Team

Agile Data Science
NOSQL Data Architects and Administrators
Developers
Grid Administrators
Business and Data Analysts
Management
Evolving your Team
Growing your Infrastructure

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Data Science Overview Training Course in the United States

The United States of America (USA) is a country in North America and a federal republic of 50 states. At almost 9.8 million square kilometers, the United States is one of the world’s biggest and most populous countries. While America’s capital city is Washington, D.C., some of its well known cities are New York, Los Angeles, Miami, Chicago, Orlando, Las Vegas, Dallas, San Francisco and Kansas City.

The most iconic symbol of the country is probably the Statue of Liberty in New York and it was gifted by France. Despite the fact that English is the most widely used language in the United States, there is no official language. Independent since July 4, 1776, USA’s motto is “In God We Trust” and their current president is Joe Biden. Some of the best places to visit in the United States are Grand Canyon, Yosemite, Maui, New Orleans, Honolulu, Zion National Park, Kauai, Lake Tahoe, Aspen, Big Sur and Santa Fe.

Achieve your IT goals through our versatile courses, spanning programming, data analytics, software development, business skills, cloud computing, cybersecurity, project management. Benefit from the flexibility of hosting training at your preferred location within United States, where our experienced instructors will provide hands-on learning and practical expertise.

Data Science Overview Training in United States of America

Who Should Attend?

Upcoming Trainings

Data Science Overview Training in United States of America

Who Should Attend?

Prerequisites

What You Will Learn

Outline

Upcoming Trainings