Data Science Overview Training in Nigeria

  • Learn via: Classroom
  • Duration: 1 Day
  • Price: From €1,293+VAT
We can host this training at your preferred location. Contact us!

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


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

Upcoming Trainings

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

06 February 2025 (1 Day)
Lagos, Onitsha, Kano
Classroom / Virtual Classroom
24 February 2025 (1 Day)
Lagos, Onitsha, Kano
Classroom / Virtual Classroom
27 February 2025 (1 Day)
Lagos, Onitsha, Kano
Classroom / Virtual Classroom
21 March 2025 (1 Day)
Lagos, Onitsha, Kano
Classroom / Virtual Classroom
12 April 2025 (1 Day)
Lagos, Onitsha, Kano
Classroom / Virtual Classroom
19 April 2025 (1 Day)
Lagos, Onitsha, Kano
Classroom / Virtual Classroom
22 April 2025 (1 Day)
Lagos, Onitsha, Kano
Classroom / Virtual Classroom
04 May 2025 (1 Day)
Lagos, Onitsha, Kano
Classroom / Virtual Classroom
Data Science Overview Training Course in Nigeria

Nigeria is located on the western coast of Africa. As the most populous country in Africa, Nigeria is a multinational union with more than 250 ethic groups. Even though the official language is English, there are over 520 native languages spoken in Nigeria. Their huge reserve of petroleum plays a crucial role in the Nigerian economy. While Abuja is the capital of Nigeria, its largest city is Lagos.

Nigeria is a member of the African Union and the British Commonwealth. Nigeria is named after the great Niger River and its national animal is an eagle. Nationals Parks are quite common in Nigeria and all of them are vast and breathtaking. Gashaka Gumti, Kainji Lake, Yankari and Okomu are the most popular national parks.

Broaden your IT expertise with our wide-ranging courses, covering programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Count on our seasoned instructors to deliver immersive training and practical insights wherever you choose in Nigeria.
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