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Big Data and Data Science draws a lot of attention nowadays. By attending our Big Data training courses, we can equip you with the knowledge so you are much better positioned to make informed tactical and strategic decisions critical in today’s very competitive world.
This AWS Advanced Analytics for Structured Data 2 day course provides a technical introduction to the understanding, creation and digital data supply chains for advanced analytics with AWS.
This Hadoop Programming on the Hortonworks Data Platform training course introduces the students to Apache Hadoop and key Hadoop ecosystem projects: Pig, Hive, Sqoop, Oozie, HBase, and Spark.
This intensive training course uses lectures and hands-on labs that help students learn theoretical knowledge and gain practical experience of Apache Hadoop and related Apache projects.
This Introduction to Big Data and NoSQL training course provides an introduction to Big Data as well as NoSQL (Not Only SQL) database systems. The fundamental concepts of and ideas behind Big Data / NoSQL technologies are methodically explored and many buzzwords demystified. The course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the subject.
Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions.
This course begins with the most important and commonly used method for unsupervised learning - clustering - and explains the three main clustering algorithms - k-means, divisive, and agglomerative. Following this, you’ll study market basket analysis, kernel density estimation, principal component analysis, and anomaly detection. By working through interesting activities, you’ll explore data encoders and latent variable models.
Data Science for Marketing Analytics training course covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments.The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you’ll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.
This Database Design training course introduces a process for effectively planning and designing a functional, efficient database. Knowing how to plan a relational database is important to the success of the databases you create. Without planning, you cannot possibly know what the database needs to do, or even what information to include in the database. Planning a database is essential and prevents the extra work of fixing data maintenance problems later on.
The Big Data Foundation certification (BDF) is designed to provide you with hands-on experience in using two of the most popular technologies in Big Data processing – Hadoop and MongoDB. You will get the opportunity to practice installing these two technologies through lab exercises. The exercises expose you to real-life Big Data technologies with the purpose of obtaining results from real datasets from Twitter. This Big Data Foundation Certification training course is designed to provide candidates with a well-rounded understanding of big data. It covers the potential data sources that can be used for solving real business problems and an overview of data mining and the tools used in it.
Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. In this course, you’ll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.
Data is one of the most valuable assets that your organization possesses. Every day you are creating more data and potentially passing up opportunities to harvest that data and use it to accelerate the achievement of your organization’s strategic objectives. Big Data and Analytics represent an emerging trend around harvesting, analyzing, and capitalizing on the wealth of data that is within the grasp of your enterprise. This Big Data and Analytics for Business Users training course introduces Cloud Computing, Big Data, and the emerging discipline of Data Analytics. Attention will be given to the three V’s of Big Data: Volume, Velocity, and Variety as well as the fourth V of Value.
Success of many organizations depends on their ability to derive business insights from massive amount of raw data coming from various sources.
This Spark Fundamentals training course offers many engineering improvements over the traditional MapReduce programming model as implemented in Hadoop by providing multi-pass in-memory processing of data which boosts the overall performance of your ETL and machine-learning algorithms.
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This Data Science with Python training course provides theoretical and practical aspects of using Python in the realm of Data Science, Business Analytics, and Data Logistics. The coverage of the related core concepts, terminology, and theory is provided as well. This intensive training course is supplemented by a variety of hands-on labs (the list of which is provided at the bottom of this outline) that help attendees reinforce their theoretical knowledge of the learned material.
This Applied Data Science and Big Data Analytics intensive training course provides theoretical and technical aspects of Data Science and Business Analytics. The course covers the fundamental and advanced concepts and methods of deriving business insights from big” and/or “small” data. This training course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.
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Applied Data Visualization with R training course and GGPLOT2 is an open-source package for the R programming language that employs the concept of the Grammar of Graphics to help users build complex and aesthetic visualizations.This course begins by introducing you to basic concepts, such as the Grammar of Graphics and geometric objects. It then goes on to explain these concepts in detail with examples. Once you are comfortable with basics, you can learn all about the advanced plotting techniques, such as box plots and density plots. With this course, you can transform data into useful material and make data analysis interesting and fun.This course perfectly balances theory and exercises. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context.
Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning.
This intensive R Programming Introduction training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice.
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Docker - GTDK1
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Using Docker & Kubernetes in Production - GTK8SG
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''Fantastic course, looking forward to applying this in my work and home life. Excellent, practical approach, very motivational. I think the entire company should attend training.''
Being Agile in Business - GTBAB
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Spring Boot Development - GTIT40
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20th - 23rd April - Galway
25th - 28th May - Cork
22nd - 25th June - Dublin
This Kubernetes Administration Certification training course is suitable for anyone who wants to learn the skills necessary to build and administer a Kubernetes cluster
This fast-paced course teaches the essentials of networking and helps to prepare the student for the CompTIA Network+ certification.
Learn about the theoretical and practical aspects of using Python in the realm of Data Science, Business Analytics, and Data Logistics
21st - 23th April - Dublin
12th - 14th May - Cork
16th - 18th June - Galway
Python is a powerful and popular object-oriented programming/scripting language with many high quality libraries.
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