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Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000)

4.6 out of 5 rating Last updated 14/11/2024   English

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Global Schedule

GTR = Guaranteed to Run

31 Jan 25 Book
15:00 - 23:00 Live Online 905
14 Mar 25 Book
14:00 - 22:00 Live Online 905

16 May 25 Book
15:00 - 23:00 Live Online 905
18 Jun 25 Book
15:00 - 23:00 Live Online 905
01 Aug 25 Book
15:00 - 23:00 Live Online 905
12 Sep 25 Book
15:00 - 23:00 Live Online 905
24 Oct 25 Book
15:00 - 23:00 Live Online 905
05 Dec 25 Book
15:00 - 23:00 Live Online 905
Duration

1 Days

6 CPD hours

Overview

This course provides a high-level view of a variety of core, current data science related technologies, strategies, skillsets, initiatives and supporting tools in common business enterprise practices. This list covers a general range of topics current to the time of course distribution. We will collaborate with your team to refine level of depth of coverage, understand areas of greater importance to your team, where you would like to add demos, etc.
Throughout the session you'll explore:
-Foundations: Grids & Virtualization; SOA, ESB / EMB, The Cloud
-The Hadoop Ecosystem: HDFS; Resource Navigators, MapReduce, Spark, Distributions
-Big Data, NOSQL, and ETL
-ETL: Exchange, Transform, Load
-Handling Data & 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? Evolving Roles and Functions in Data Science-Growing your Infrastructure

Description

The Data Science & Big Data Overview | Tools, Tech & Modern Roles in the Data-Driven Enterprise is an introductory level course that introduces the entire multi-disciplinary Data Science team to the many evolving and related terms, with focus on Big Data, Data Science, Predictive Analytics, Artificial Intelligence, Data Mining, Data Warehousing. The overview explores the current state of the art and science, the major components of a modern data science infrastructure, team roles and responsibilities, and level-setting realistic possible outcomes for your investment. This goal of this course is to provide students with a baseline understanding of core concepts and technologies to a conversant level.

Prerequisites

This introductory-level / primer course is an overview intended for Business Analysts, Data Analysts, Data Architects, DBAs, Network (Grid) Administrators, Developers or anyone else in the data science realm who need to have a baseline understanding of some of the core areas of modern Data Science technologies, practices and available tools.

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
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
An Overview of Developing in Hadoop Ecosystem
  • Languages: R, Python, Java, Scala, Pig, and BPMN
  • Libraries and Frameworks
  • Development, Testing, and Deployment
Exploring 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
Additional course details:

Nexus Humans Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the ITS Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) Course

Available Delivery Options for the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) training provide?

The 1 day. Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) training course give you up to 6 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

Which exam does the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) training course prepare you for?

The Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) prepares you for the Yes official exam. You can take this exam at any exam center across UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online where ever you are. Exams vary in duration and if required you can request with the provider for any accommodations appropriate for you.

What is the correct audience for the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) training?

Attendees should have prior exposure to Enterprise Information Technology. As well as familiarity with Relational Databases.

Do you provide training for the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000).

Yes we provide corporate training, dedicated training and closed classes for the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000). This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) program.

The Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) training takes place over 1 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

What other terms do people search for when looking for this course?

Popular related searched include Data Science.

Why are Nexus Human the best provider for the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000)?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for UK on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) training.

Yes, the discount code PENPAL5 is currently available for the Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

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Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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