Data Science Overview Training in United States of America

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Price: From €1,293+VAT
  • Upcoming Date:
  • UK Based Global Training Provider
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.

 

We can organize this training at your preferred date and location. Contact Us!

Prerequisites

Attendees should have:

  • Exposure to Enterprise Information Technology
  • Familiarity with Relational Databases

What You Will Learn

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.

 

Training Outline

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 Choose Us

Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Data Science Overview Training in United States of America. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.

  • Live Sessions: Join scheduled classes with a live instructor and other delegates in real-time.
  • Interactive Experience: Engage in group activities, hands-on labs, and direct Q&A sessions with your trainer and peers.
  • Global Expert Trainers: Learn from a handpicked global pool of expert trainers with deep industry experience.
  • Proven Expertise: Benefit from over 30 years of quality training experience, equipping you with lasting skills for success.
  • Scalable Delivery: Accessible worldwide, including United States of America, with flexible scheduling to meet your professional needs.

Immerse yourself in our most sought-after learning style for Data Science Overview Training in United States of America. Our hand-picked classroom venues in United States of America offer an invaluable human touch, providing a focused and interactive environment for professional growth.

  • Highly Experienced Trainers: Boost your skills with trainers boasting 10-20+ years of real-world experience.
  • State-of-the-Art Venues: Learn in high-standard facilities designed to ensure a comfortable and distraction-free experience.
  • Small Class Sizes: Our limited class sizes foster meaningful discussions and a personalized learning journey.
  • Best Value: Achieve your certification with high-quality training and competitive pricing.

Streamline your organization's training requirements with Bilginç IT Academy’s Onsite Data Science Overview Training in United States of America. Experience expert-led learning at your own business premises, tailored to your corporate goals.

  • Tailored Learning Experience: Customize the training content to fit your unique business projects or specific technical needs.
  • Maximize Training Budget: Eliminate travel and accommodation costs, focusing your entire budget on the training itself.
  • Team Building Opportunity: Enhance team bonding and collaboration through shared learning experiences in your workspace.
  • Progress Monitoring: Track and evaluate your employees' progression and performance with relative ease and direct oversight.


Contact us for more detail about our trainings and for all other enquiries!

Data Science Overview Training Course in United States of America Schedule

Join our public courses in our United States of America facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
23 April 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
€1,293 +VAT
04 May 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
€1,293 +VAT
25 May 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
€1,293 +VAT
25 June 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
€1,293 +VAT
15 July 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
€1,293 +VAT
11 August 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
€1,293 +VAT
14 August 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
€1,293 +VAT
07 September 2026 (1 Day)
New York, San Francisco, Austin, Seattle, Chicago
€1,293 +VAT

The United States continues to define the global frontier of technology and innovation, serving as the home to the world's most influential tech titans. From the legendary Silicon Valley and San Francisco Bay Area to emerging hubs like Austin, Seattle, and the Silicon Alley in New York, the US ecosystem remains unparalleled. Top-tier institutions such as MIT, Stanford, and Carnegie Mellon provide the research backbone for breakthroughs in Artificial Intelligence, Quantum Computing, and Cybersecurity. Our training programs are meticulously aligned with these industry-leading standards, ensuring that professionals can navigate the complexities of the modern digital landscape. We bridge the gap between academic theory and high-stakes corporate execution in the most competitive tech market on Earth.

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