Data Science Overview Training

  • 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. 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 with flexible scheduling to meet your professional needs through our globally available virtual classrooms.

Immerse yourself in our most sought-after learning style for Data Science Overview Training. Our hand-picked classroom venues 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 Bilginc IT Academy’s Onsite Data Science Overview Training. 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!

Available Training Dates

Join our public courses in our Istanbul, London and Ankara 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.
07 April 2026 (1 Day)
Istanbul, Ankara, London €1,293 +VAT
23 April 2026 (1 Day)
Istanbul, Ankara, London €1,293 +VAT
25 May 2026 (1 Day)
Istanbul, Ankara, London €1,293 +VAT
14 August 2026 (1 Day)
Istanbul, Ankara, London €1,293 +VAT
07 September 2026 (1 Day)
Istanbul, Ankara, London €1,293 +VAT
20 September 2026 (1 Day)
Istanbul, Ankara, London €1,293 +VAT
13 October 2026 (1 Day)
Istanbul, Ankara, London €1,293 +VAT
20 October 2026 (1 Day)
Istanbul, Ankara, London €1,293 +VAT

Our IT training and professional development services reach a global audience, transcending geographical boundaries through advanced digital learning platforms and strategic international hubs. We specialize in delivering world-class curriculum across continents, ensuring that no matter where you are located, you have access to the latest industry certifications and technical expertise. By partnering with global technology leaders and academic institutions, we provide a unified learning experience that meets the demands of a diverse, international workforce. Our commitment to global excellence ensures that professionals in every time zone can master the digital skills required to lead, innovate, and thrive in the ever-evolving global technology landscape.

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