Big Data and Analytics Training - United States

Who should attend this Hadoop Training Course?

The Hadoop Administration course is intended for IT professionals, cloud administrators, system administrators, and data engineers. However, this is not an exhaustive list.

Hadoop Administration Prerequisites

There are no formal prerequisites for this course. However, it is recommended that delegates have understood the basics of Hadoop and have knowledge of large data fields, prior to beginning this course. 

Hadoop Administration Training Course Overview

This 1-day course delivers a detailed understanding of the Hadoop open-source framework. Hadoop Administration Training will assist delegates in working with Big Data. It will further aid delegates in using the information collected to improve business objectives, quality of products, and customer satisfaction. 

This course focuses on managing, maintaining, and troubleshooting a Hadoop cluster; creating and starting admin commands, communication commands tools, and commissioning and decommissioning nodes. Furthermore, familiarise yourself with the Hadoop Ecosystem, all within an intensive one-day training course. 

Whats included in this Hadoop Training Course:

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor
• Refreshments

Who should attend this Big Data Architecture Training​ Course?

This course is aimed at those who wish to become data architects, data analysts, or database engineers.

Big Data Architecture Training  Prerequisites

Prior to attending this course, proficient knowledge of database management systems and technologies (MapReduce, Hive, HDFS, Spark etc.) is expected of delegates. 

Big Data Architecture Training Course Overview

Big Data Hadoop Architects are responsible for the development and deployment of applications on a large scale. In addition to this, they are tasked with preparing and creating Big Data systems. Delegates shall gain a thorough understanding of how to create a Hadoop solution that meets their business requirements. This comprehensive one-day course will equip delegates with the skills required to install, configure, and manage the Apache Hadoop platform. In addition, delegates will be able to build a Hadoop solution that is tailored to their specific business requirements.

The sudden development of large data sets brings with it fresh challenges and it can be difficult to manoeuvre oneself in unchartered territory. This course covers a wide range of big data architecture material from real-time and batch processing, data formats and data lifecycle, to the various database interfaces. Scalable applications is a critical topic covered within this module. Whether scaling up or down, being able to determine an application’s scalability, and doing so accurately and efficiently, these are essential skills a proficient big data architect will require. Another important issue, which is discussed during the course, is Security and Privacy. The principles of security within the platform alongside threats to privacy will be examined in detail. In addition to these topics, being able to select the best technology that suit the current demands, will be a key feature of the course syllabus. 

What's included in this Big Data Training Course

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor
• Refreshments

Who should attend this Big Data and Hadoop Solutions Architect​ Training Course

Typically, those attending are Project Managers and IT Managers, Database Administrators & Data Architects, Data Engineers, IT Systems Engineers, and Cloud Systems Administrators. This is not an exhaustive list.

Big Data and Hadoop Solutions Architect​ Prerequisites

It is highly recommended that delegates should have a comprehensive understanding of Hadoop prior to attending. 

Big Data and Hadoop Solutions Architect Training Course Overview

This Big Data and Hadoop Solutions Architect training course is a two-day intensive course aimed at those who have a comprehensive understanding of Hadoop and wish to consolidate their knowledge of solutions architecture. This course has been formulated to aid delegates in becoming Solutions Architects that are essential for businesses when they look to integrate data from various sources in a limited time frame. A Big Data Hadoop Solutions Architect is responsible for identifying specific issues whilst handling large amounts of data. They are also expected to describe the structure and behaviours of the information whilst utilising the Hadoop technology.

The Big Data and Hadoop Solutions Architect also organises how the Big Data environment ought to be developed, which includes requirement analysis, platform selection, and the design.

The course shall cover the processing and analysing of data, identifying the various behaviours of data, data visualisation and migration of data, Hadoop Clusters in detail, and the NoSQL database technologies.

A Big Data Hadoop Solutions Architect possesses a sort after skill set that is invaluable to many organisations. The demand, for Big Data Hadoop Solutions Architects, has rocketed and continues to do so within the IT industry. 

What's Included in this Big Data and Hadoop Solutions architect Training Course

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor
• Refreshments

Who should attend this Data Analysis Course?

The Data Science Analytics certification has been designed for anyone who is interested in analysing data and identifying any improvements or issues.

Prerequisites

There are no prerequisites for the Data Science Analytics course.

Data Science Analytics Course Overview

Data Science is a versatile area which combines scientific techniques, systems and processes to extract information from various forms of data. A Data Scientist uses the information collected to discover data courses such as revenues, testimonials and product information.

What's included in this Data Analysis Training Course?

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor
• Refreshments

Who should attend this Data Analysis Training Course?

This course has been developed for those who are starting to use data analysis tools. The Data Analytics with R training is ideal for those who are interested in storing and managing data.

Prerequisites

There are no prerequisites for taking this course but it is recommended that delegates have a basic understanding when using this programming language.

Data Analytics with R Course Overview

This 1-day course has been specifically designed for those who have no knowledge of the programming language and would like to expand their skills in this area. The course will help delegates gain the skills to become successful analytics professional.

What is R?

R is a programming language which is used for statistical computing and graphics. The open source tool has been used by many statisticians, data miners and data analysts to collect data to improve their products.

What's included in this Data Analysis Training Course?

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor
• Refreshments

Who should attend this Big Data Training Course?

This course has been designed for those who are interesting in managing large quantities of data and creating long-term strategies for their business.

Prerequisites

There are no prerequisites for Big Data Analysis course.

Big Data Analysis Course Overview

As more and more businesses rely on data to make their decisions, the ability to critically analyse large datasets is more important than ever. Successful Big Data Analysis can provide an insight into activities and highlight opportunities to improve and expand, as well as identify issues which may prevent growth and affect profit.

Our 1-day Big Data Analysis training course provides a comprehensive introduction to this discipline, providing knowledge of the Big Data Analysis Lifecycle and how a Big Data approach can be planned and implemented.

What's included in this Big Data Training Course?

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor
• Refreshments

Prerequisites

There are no formal requirements for attending this Data Analysis Training using MS Excel course. However, a basic knowledge of MS Excel can be beneficial for the delegates.

Audience

This course is intended for anyone considering learning how to use Microsoft Excel for data analysis purposes.

Data Analysis Training using MS Excel Course Overview

Data analysis is the process of organising, modelling, and reconfiguring data to extract important information that can aid in business decision-making. The primary objective of data analysis is to obtain valuable insights from available data and use that meaningful information to make informed decisions. This training aims to provide a versatile and widely-used platform for data analysis in various fields such as business, finance, healthcare, and more. This training will teach individuals how to use Microsoft Excel to effectively analyse data and derive meaningful insights for informed decision-making. Possessing data analysis skills using MS Excel can benefit individuals in terms of professional growth and earning potential.

This 2-day Data Analysis Training using MS Excel will provide delegates with a comprehensive understanding of carrying out data analysis tasks with Microsoft Excel. During this training, they will learn how to remove unwanted characters from the text. They will also learn about data validation, which is the process of verifying and validating collected data before it is used. This course will be led by our highly skilled and subject-matter expert trainers, who are well versed in teaching data analysis and have sufficient experience in conducting this course to provide delegates with their desired skills.

Course Objectives

• To get an in-depth understanding of data analysis and its process
• To attain knowledge of how to create, rename, and delete a range name
• To learn how to remove unwanted characters from the text
• To become familiar with the steps for changing data and time formats
• To attain in-depth knowledge about data validation and how to use it
• To learn about how to create a PivotTable in MS Excel

By the end of this training, delegates will be able to use MS Excel proficiently and effectively for data analysis. They will also be able to use Excel functions and tools for data analysis purposes. They will also become proficient in the process of data visualisation in Excel and running financial analysis.

If delegates want to learn Data Analysis using other tools and techniques, they can also opt for our Big Data Architecture Training, Big Data and Hadoop Solutions Architect, Data Science Analytics, Data Analytics with R, Big Data Analysis, and many more courses from our Big Data and Analytics Training section to fulfil their needs/requirements.

What’s Included

• The Knowledge Academy’s Data Analysis Training using MS Excel Manual
• Experienced Instructor
• Completion Certificate

Prerequisites

Delegates should have basic knowledge about Java, database, query language and SQL.

Audience

This course is designed for those who want to build their career in Big Data. It is more suitable for:

• Senior IT Professionals
• DWProfessionals
• Data Scientists and Analytics Professionals
• Developers and Architects
• Testing Professionals
• Software Architects
• BI and ETL Professionals
• Engineers and Developers
• Mainframe Professionals

Apache Spark and Scala Training​ Course Overview

Apache Spark is an open-source and lightning-fast cluster computing system which is used for analysing a large amount of data. Spark is the most extensive tool, and many large companies have used it over the world.

This 2-day Apache Spark and Scala Certification provide delegates with a piece of in-depth knowledge and practical skills to enhance competence in Big Data Spark. During this training, delegates will get an understanding of Spark and its ecosystem, Spark Streaming, Spark SQL, RDD and Scala.

This course will cover the below different concepts:

• Scala and its programming implementation
• Spark Applications using Python, Java and Scala
• Apache Spark and Hadoop
• Spark on a cluster and Spark Streaming
• Scala Java Interoperability and other Scala operations
• Projects using Scala to run on Spark applications
• Scala classes concept and executes pattern matching

This course will be delivered by the industry-experienced instructor, who will provide comprehensive knowledge on Scala Programming language, YARN, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka. After completing this training, delegates will get a certificate if they passed the exam.

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor

Audience

Anyone who wishes to pursue a career in Big Data Analytics or learn to use Apache Storm can attend this course. This course is well-suited for:

• Software Professionals
• Mainframe and Hadoop Professionals
• Data Scientists and ETL Developers

Prerequisites

There are no prerequisites for this course; however, understanding of Java would be advantageous.

Apache Storm Training Course Overview

Apache Storm is an open-source data streaming framework. It enables the processing of a large amount of data using a fault-tolerant and horizontal scalable method. It is simple and can be used with any programming language.

This Apache Storm Training is designed to provide knowledge of how to use Apache Storm. Delegates will learn how to install Storm and create topologies, as well as how to use its workflow, cluster architecture and distributed messaging system. The course also looks at the Apache Storm Trident, including Topology and Tuples, Spout and Operations, and State Maintenance.

What’s Included

• The Knowledge Academy's Apache Storm Training Manual
• Experienced Instructor
• Certificate

Prerequisites

There are no formal prerequisites for attending this Splunk Training course. However, a prior understanding of storing and retrieving data would be highly beneficial.

Audience

This course is designed by The Knowledge Academy for everyone who wants to grasp the essentials of Splunk. However, it will much more beneficial for:

• IT Professionals
• IT Infrastructure Management Professionals

Splunk Certification Training​ Course Overview

Splunk is a popular software to monitor, search, analyse, and visualise machine-generated data in real-time. It captures, indexes, and correlates real-time data within a searchable container, generating alerts, graphs, visualisations, and dashboards. Splunk helps the users to gather, store, and deliver extensive analytical skills, allowing enterprises to act on the data's frequently profound insights. Studying this training will provide learners with the appropriate use of Splunk and enable them to discover events using search processing language. It helps in monitoring business metrics, making informed decisions, and creating a central repository for searching. Individuals with strong searching and analysis skills will grab well-paying jobs in multinational corporations, where they will be able to use their Splunk expertise in day-to-day real-time activities.

In this 2-day Splunk Training course, delegates will enhance their expertise in how Splunk can be used to analyse and respond to issues in their businesses using operational intelligence. Delegates will learn about the basics of the Search Processing Language (SPL), which includes Boolean operators, syntax colouring, search language syntax, and search modes. They will also learn about macros that run the search command to avoid rewriting the whole command and how to create it using .conf web and Splunk web. Our highly professional and skilled instructor with years of teaching experience will conduct this course and assist delegates with the fundamentals to advanced concepts of Splunk.

Course Objectives

• To install Splunk on different platforms like macOS and Windows
• To learn about relative-search and real-time search time modifiers
• To acquire an understanding of filtering and reporting commands
• To execute a chain of search commands using the pipe operator
• To understand the use of data models and pivot in Splunk
• To get familiar with the privileges that a user has within Splunk

After attending this training course, delegates will be able to create data models and recognise the patterns of product sales requests. They will also be able to enhance the GUI and real-time visibility in a dashboard to deliver the most up-to-date data on a wide range of performance metrics.

• Delegate pack consisting of course notes and exercises
• Manual
• Experienced Instructor

Prerequisites

There are no formal prerequisites for attending this Advanced Data Analytics Certification.

Audience

This training certification is curated by The Knowledge Academy for everyone who wants to equip themselves with the knowledge of Data Analytics and intermediates to take themselves to the next level. However, this course will be beneficial for:

• IT Professionals
• Marketing Managers
• Sales Professionals
• Supply Chain Network Managers
• Beginners in Data Analytics Domains

Advanced Data Analytics Certification​ Course Overview

Data Analytics is the scientific discipline that analyse raw data and uses that information to draw conclusions. The process has been automated into algorithms and mechanical processes that work with raw data for human consumption. It is critical to optimise business performance and implement business models that can reduce costs by storing massive amounts of data and identifying efficient business practices. A Data Analyst is responsible for using automated tools, maintaining databases, and preparing final analysis reports. This training assists aspiring candidates with the essential skills of engineering and interpreting data in Python. Individuals with these skills and knowledge will get higher designations at multinational corporations and ultimately climb up the ladders of success.

In this 4-day Advanced Data Analytics Certification, delegates will gain a comprehensive knowledge of data analytics using various programming languages and will learn techniques to expert those languages. During this certification, delegates will learn about business analytics with Excel to gain business perceptions and brush up on their Microsoft Excel skills. They will also learn about programming basics and analytics with Python using the libraries NumPy, Pandas, Matplotlib, and Seaborn. Our highly skilled trainer with years of teaching experience will conduct this training certification and equip delegates with advanced data analysis and statistical methods.

Course Objectives

• To learn about data visualisation that represents data graphically  
• To understand data wrangling for unifying and cleaning messy data
• To become familiar with the importance of sorting and filtering
• To design dashboard using data model that store information systematically
• To analyse data with Python using NumPy and Pandas libraries
• To know about Tableau charts that illustrates trends and outliers

After attending this training certification, delegates will be able to analyse and visualise the information by extracting it from raw data. They will also be able to create capstone projects such as credit card fraud detection using Machine Learning, an e-commerce sales dashboard in Excel, etc., to gain expertise in the Data Analytics field.

• Delegate pack consisting of course notes and exercises
• Courseware
• Experienced Instructor

Audience

Anyone who wishes to gain knowledge on Couchbase can attend this course. This course is well-suited for:

• Software Developers
• System Administrators
• Database and Analytics Professionals

Prerequisites

There are no prerequisites for this course. 

Couchbase Training Course Overview

Couchbase Server is a distributed and scalable NoSQL document database, designed to allow the execution of fast create, store, update, and retrieval operations.

This Couchbase training course is designed to provide knowledge on the working of Couchbase Server, including installation and how to use the Administrative Console. The course also looks at how to develop for Couchbase and monitor and manage clusters.

What’s Included

• The Knowledge Academy's Couchbase Training Manual
• Experienced Instructor
• Certificate

Audience

Anyone who wishes to learn how to use Apache Kafka can attend this course. This course is ideal for:

• Big Data Architects
• Analytics and Research Professionals
• Messaging and Queuing System Professionals
• Developers who are looking to build a streaming data application

Prerequisites

There are no prerequisites for this course. However, knowledge of basic Java Programming would be beneficial.

Apache Kafka Training Course Overview

Apache Kafka is a high-performance real-time messaging system and open-source stream-processing platform that can process millions of messages per second. It is suitable for both online and offline message consumption. Apache Kafka integrates with Apache Storm and Spark for real-time streaming data analysis, minimising down time and data loss.

This Apache Kafka Training Course is designed to help delegates to acquire skills to become a Kafka Big Data Developer. During this two-day comprehensive course, delegates will learn the skills required to administer and monitor Kafka, including how to take control of a Kafka cluster by configuring Kafka Producers, Consumers and streams. Delegates will also learn how to build data pipelines and applications with Kafka, as well as how to install Java, Zookeeper and Kafka Broker.

What’s Included

• The Knowledge Academy's Apache Kafka Training Course Manual
• Experienced Instructor
• Certificate

Audience

Anyone who wishes to enhance their knowledge of Apache Spark can attend this course. This course is ideal for:

• Architects and Developers
• Analytics and Research Professionals
• BI and IT Professionals
• Mainframe and Testing Professionals

Prerequisites

There are no prerequisites for this course. However, basic knowledge of SQL, databases, and query language will be beneficial.

Apache Spark Training Course Overview

Apache Spark is a framework for large-scale SQL, stream processing, batch processing, and machine learning. Its main feature is in-memory cluster computing, which enhances its processing speed. It can also handle both batch and real-time analytics and data processing workloads, as well as process data from different data repositories including NoSQL databases, the Hadoop Distributed File System (HDFS) and more.

This Apache Spark training course is designed to provide delegates with the skills and knowledge to become a successful Big Data and Spark Developer. The two-day course explores concepts including cluster design, cluster management and artificial neural networks, as well as how to install Docker, Titan and Databricks. It also looks at how to process graphs using GraphX.

What’s Included

• The Knowledge Academy's Apache Spark Training Manual
• Experienced Instructor
• Certificate

Audience

Anybody wishing to pursue a career in Big Data and Data Science can attend this course. This course is well-suited for:

• Business Analyst
• Data Analysts
• Database Professionals
• Business Intelligence Managers
• Graduates who wish to build a career in data science

Prerequisites

No prerequisites are required for this course.

Big Data Analytics & Data Science Integration Course Overview

Data Science is a combination of programming, analytical, and business skills that enable the review, analysis and extraction of meaningful insights from raw data. Big Data creates new opportunities for organisations to derive insights and generate competitive advantage from information.

This Big Data Analytics and Data Science Integration course will help delegates to gain expertise in using Big Data and Data Science related technologies. It provides delegates with in-depth knowledge of how to design, develop and deploy data science and big data applications in the real world. Topics covered include the Data Analytics Lifecycle, Regression, Classification, Text Analysis and Database Analytics.

What's Included

Anybody wishing to pursue a career in Big Data and Data Science can attend this course. This course is well-suited for:

• Business Analyst
• Data Analysts
• Database Professionals
• Business Intelligence Managers
• Graduates who wish to build a career in data science

Who should attend?

Anyone who wishes to use Talend for data integration can attend this course. This course is ideal for:

• Data Warehousing Professionals
• Data Scientists and Architects
• System Administrators and Integrators
• Business Analysts

Prerequisites

There are no prerequisites for this course. However, basic knowledge of Data Warehousing and SQL would be beneficial.

Data Integration and Big Data using Talend Course Overview

Talend is an open-source data integration platform. It combines data from multiple sources and ensures it can be moved quickly across to target systems to provide greater business insights. It offers various software and services for enterprise application integration, data management, data integration, cloud storage, data quality, and Big Data.

This Data Integration and Big Data using Talend course is designed to provide thorough knowledge of how to use Talend to address Big Data Integration and management challenges. The course will cover how to design and manage jobs, as well as how to create, import, open, delete and export projects. You will also learn how to manage metadata and use Talend SQL templates.

What’s Included

• The Knowledge Academy's Data Integration and Big Data using Talend Manual
• Experienced Instructor
• Certificate

Who should attend?

Anybody wishing to gain good knowledge of data warehousing. This course is best suited for:

• Recent Graduates
• IT Professionals who wish to learn about data storage and data warehousing modelling
• Finance professionals  

Prerequisites

There are no formal prerequisites for this course. However, an understanding of basic database concepts would be beneficial.

Data Warehousing Training Course Overview

A data warehouse is a database that collects and stores a large amount of data from a diverse range of sources to allow analysis and provide insights.

This Data Warehouse training course will introduce delegates to the fundamental concepts of data warehousing, including architecture, modelling, delivery and system processes. Delegates will learn about the different terminology related to data warehousing, metadata concepts, schemas, and security.

What’s Included

• The Knowledge Academy’s Data Warehousing Training Manual
• Experienced Instructor
• Completion Certificate

Who should attend?

Anybody who wishes to learn how to use the ELK stack can attend this course. Job titles this course is recommended for:

• System Log Analyst
• Full Stack Technical Analyst
• Business Analyst
• Big Data Analytics Engineer – Elastic Search

Prerequisites

 A basic understanding of JSON Data Format, SQL and Restful API will be helpful.​

ELK Stack Training Overview

The ELK Stack is a combination of three open-source products - Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server-side data processing pipeline that inputs data from various sources at the same time, transforms it and sends it to a stash. Kibana enables users to visualise data with graphs and charts in Elasticsearch.

This ELK Stack Training course will provide delegates with a good understanding of Elasticsearch, Logstash and Kibana. Delegates will learn about Elasticsearch queries such as Boolean Operators, Fields, Ranges and URI Search. They will also gain knowledge on ELK elasticity and use cases. By the end of the course, you will understand how to use Elasticsearch, Logstash and Kibana, and how it can be used in business.

What’s Included

• The Knowledge Academy’s ELK Stack Training Course Manual
• Experienced Instructor
• Completion Certificate

Who should attend?

Anyone who wishes to gain expertise in Impala can attend this course. This course is ideal for:

• Analysts and Data Scientists
• SQL Developers
• Hadoop Administrators and Developers
• Database Administrators
• Data Warehouse Developers

Prerequisites

No prerequisites are required for this course. However, basic knowledge of the principles of programming is advantageous.

Hadoop Training Course with Impala Overview

Impala is a distributed massive parallel processing SQL query engine for processing enormous data volumes stored in a Hadoop cluster. Impala is licensed by Apache, and it runs on the open-source Apache Hadoop big data analytics platform.

This Hadoop Training Course with Impala is designed to equip delegates with comprehensive knowledge regarding Apache Impala. Delegates will learn how to install, manage and upgrade Impala as well as how to start Impala through Cloudera Manager and the command line. From here, the course will show you how to administer Impala, including managing security, tuning for performance, and troubleshooting.