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Data Analysis Training Courses

Data Analysis Training Courses

Local, instructor-led live Data Analysis (Analysis of Data or Data Analytics) training courses demonstrate through discussion and hands-on practice the programming languages and methodologies used to perform Data Analysis. Data Analysis training is available as "onsite live training" or "remote live training". Onsite live training can be carried out locally on customer premises in the UK or in NobleProg corporate training centers in the UK. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider

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Data Analysis Subcategories

Business Analysis Training CoursesBusiness Analysis
Business Intelligence Training CoursesBusiness Intelligence
Data Visualization Training CoursesData Visualization
Web Analytics Training CoursesWeb Analytics
Spatial Analysis Training CoursesSpatial Analysis

Data Analysis Course Outlines

CodeNameDurationOverview
designpatDesign Patterns14 hoursThere are plenty of tried and tested patterns widely available to everyone. Sometimes it is a matter of changing the names and implementing the pattern in a specific technology. It can save hundreds of hours, which otherwise would be spent on design and testing. Training Goals This course has two goals: first, it allows you to reuse widely-known patterns, second, it allows you to create and reuse patterns specific to your organization. It helps you to estimate how patterns can reduce costs, systematize the design process and generate a code framework based on your patterns. Audience Software designers, business analysts, project managers, programmers and developers as well as operational managers and software division managers. Course Style The course focuses on use cases and their relationship with a specific pattern. Most of the examples are explained in UML and in simple Java examples (the language can change if the course is booked as a closed course). It guides you through the sources of the patterns as well as showing you how to catalogue and describe patterns which can be reused across your organization.
bpmn2Business Process Modelling in BPMN 2.021 hoursThis course has been created for anyone responsible for modelling processes in BPMN 2.0.

It focuses on practical aspects of all BPMN 2.0 specification as well as implementations of common patterns.

It is a series of short lectures followed by exercises: the delegates will have a problem described in English, and will have to create a proper diagram for each problem. After that, the diagrams will be discussed and assessed by the group and the trainer.

This course focuses on understand the BPMN diagrams but also covers basic part of the execution part of BPMN.
TalendDITalend Open Studio for Data Integration 28 hoursTalend Open Studio for Data Integration is an open-source data integration product used to combine, convert and update data in various locations across a business.

In this instructor-led, live training, participants will learn how to use the Talend ETL tool to carry out data transformation, data extraction, and connectivity with Hadoop, Hive, and Pig.

By the end of this training, participants will be able to

- Explain the concepts behind ETL (Extract, Transform, Load) and propagation
- Define ETL methods and ETL tools to connect with Hadoop
- Efficiently amass, retrieve, digest, consume, transform and shape big data in accordance to business requirements
- Upload to and extract large records from Hadoop (optional), Hive (optional), and NoSQL databases

Audience

- Business intelligence professionals
- Project managers
- Database professionals
- SQL Developers
- ETL Developers
- Solution architects
- Data architects
- Data warehousing professionals
- System administrators and integrators

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.
powerbiPower BI14 hoursPower BI is a business analytics service created by Microsoft.
bdbitcspBig Data Business Intelligence for Telecom and Communication Service Providers35 hoursOverview

Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month.

Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.

With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.)

This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.

Course objectives

Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:

- Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
- How Big Data analytic differs from legacy data analytic
- In-house justification of Big Data -Telco perspective
- Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
- How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
- Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
- Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
- Network failure and service failure analytics from Network meta-data and IPDR
- Financial analysis-fraud, wastage and ROI estimation from sales and operational data
- Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
- Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
- Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization

Target Audience

- Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
- Business Analysts in Telco
- CFO office managers/analysts
- Operational managers
- QA managers
bdbigaBig Data Business Intelligence for Govt. Agencies35 hoursAdvances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information.

High-value government solutions will be created from a mashup of the most disruptive technologies:

- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics

IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.

But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.

The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.

The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.

Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).

Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
mdlmrahModel MapReduce and Apache Hadoop14 hoursThe course is intended for IT specialist that works with the distributed processing of large data sets across clusters of computers.
dashbuilderDashbuilder for Business Users14 hoursDashbuilder is an open-source web application for visually creating business dashboards and reports.

In this instructor-led, live training, participants will learn how to create business dashboards and reports using Dashbuilder.

By the end of this training, participants will be able to:

- Visual configure and personalize dashboards using drag-and-drop
- Create different types of visualizations using charting libraries
- Define interactive report tables
- Create and edit inline KPIs (Key Performance Indicators)
- Customize the look and feel of metric displayers

Audience

- Managers
- Analysts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
fintechFintech: A Practical Introduction for Managers14 hoursFintech refers to the convergence of finance + new technologies.

In this instructor-led training, participants will gain an understanding of the technologies, methods and mindset needed to implement a Fintech strategy.

This training is aimed at managers who need to gain a "big picture" understanding of Fintech, break down the hype and jargon, and take tangible first steps towards the adoption of new technologies applicable to financial business and services.

By the end of this training, participants will be able to

- Present viable Fintech strategies for their organization
- Understand and explain the role and functionality of key technologies
- Draft an action plan for introducing new technologies in step-by-step fashion

Audience

- Strategists within the finance industry
- Technologists within the finance industry
- Stakeholders within finance organization
- Consultants and business analysts

Format of the course

- Part lecture, part discussion, exercises and case study group activities
processminingProcess Mining21 hoursProcess mining, or Automated Business Process Discovery (ABPD), is a technique that applies algorithms to event logs for the purpose of analyzing business processes. Process mining goes beyond data storage and data analysis; it bridges data with processes and provides insights into the trends and patterns that affect process efficiency.

Format of the course
The course starts with an overview of the most commonly used techniques for process mining. We discuss the various process discovery algorithms and tools used for discovering and modeling processes based on raw event data. Real-life case studies are examined and data sets are analyzed using the ProM open-source framework.

Audience
Data science professionals
Anyone interested in understanding and applying process modeling and data mining
agilebaAgile Business Analysis14 hoursThis course focuses on the business analyst role to be successful on Agile projects. Course participants will learn how to cooperate with the Team, Product Owner, Scrum Master as well as with the Customer to facilitate the development process. Participants will go through a mock project practising common stations.
ubpmbpmn2Understanding Business Process Modeling with BPMN 2.014 hoursThis training course aims at helping business analysts to learn to model efficiently their business processes using BPMN as well as resources that are handled by their activities. Being conducted by an agile enterprise framework, business analysts learn during this course how to use appropriate BPMN notations and business extensions of UML in order to deal with their "business requirements" and coherently drive underlying design level activities.
condevContemporary Development Principles and Practices14 hoursThe course covers contemporary development principles and practices, including the place of project management, testing and business analysis, within Agile and traditional Waterfall contexts.

The course is intended to be workshop-style with opportunities for delegates to ask questions and explore real life application of the content.

This course comprises a series of modules with each module designed to take 1.5hrs, ie 1 training day would consist of 4 modules.

Intended Audience

This course is aimed at those who want to gain a rapid overview of contemporary Waterfall & Agile software development and the impact on project management, testing and business analysis.
baessBusiness Analysis Essentials21 hoursAudience:

Business consultants, Business analysts, Project Managers, IT professionals.
hadoopbaHadoop for Business Analysts21 hoursApache Hadoop is the most popular framework for processing Big Data. Hadoop provides rich and deep analytics capability, and it is making in-roads in to tradional BI analytics world. This course will introduce an analyst to the core components of Hadoop eco system and its analytics

Audience

Business Analysts

Duration

three days

Format

Lectures and hands on labs.
datamaData Mining and Analysis 28 hoursObjective:

Delegates be able to analyse big data sets, extract patterns, choose the right variable impacting the results so that a new model is forecasted with predictive results.
bpobBusiness Process Optimization in Banking21 hoursThis course focuses on holistic, structured approaced to finding bottle necks and optimizing business processes.

It is a practical workshop where participants will be given examples and later will need to solve similar cases during team exercises.

- Using the company experience in process management in other banks / sectors to illustrate the presentation
- Introducing the participants to the different process methodologies (Lean, SIX Sigma) but not full of theory about those methodologies (aim of this training is not to pass the Lean or Six Sigma certifications but to get an awareness of different methodologies to see how we can use part of it in our daily activity)
- The presentation should be oriented mostly on business issues (and not pure IT processes)
bpmn2funwsBPMN 2.0 Fundamentals and Workshop14 hoursAudience:

Delegates who have an interest in Process Modelling will benefit from attending this business process modeling notation training course including:

- Business and Process Analysts
- Process Designers and Implementers
- Project and Programme Managers
- Anyone involved with business change and transformation.
oobdpObject Oriented Design using Design Patterns14 hoursObjective:

Helping Technical Analysts and Designers to understand how to go through software implementation of the requirements, ensuring traceability between business specifications and the software code.

This 2 day training course aims at assisting technical analysts and designers in designing specifications described by the business analysts. After transformation into software component representations, the resulting system components trace system requirements toward software component structures.

Finally, these technical specifications are implemented in software code and tested upon component basis. The resulting software components provide good level of reactivity to changes as they allow to trace separately toward the implementation level the system behaviours layer by layer (from the user interfaces toward business objects layer through the application components where the usage choices of the actors are stored.
eraamaumlEfficient Requirement Management using Agile Methods and Agile UML Modeling21 hoursObjective:

This training course aims at helping product managers, products owners, business analysts, system architects and developers understand how to efficiently Manage Requirements on the basis of the product vision till guiding developers accurately in implementing them.

More in detail, this course aims at assisting product managers in better defining the value propositions of their products on the basis of strategies and stakeholder needs. Business Analysts and product owners understand how to describe requirements of the product backlog then discover appropriate epics and user stories of the system while contributing to the required value creation. Along interactive case study exercises, participants learn how to describe in detail such requirements in order to validate correct understanding of needs and prepare system acceptance tests. Thus, only using a very common and productive UML profile, they learn to structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.

Audience:

- Product Managers
- Product Owners
- Business Analysts
- Anyone interetsted in the Requirements Management Process
bmamBusiness Modeling for an Agile Enterprise14 hoursObjective:

Helping Business Analysts to understand how to efficiently model and validate their business processes and resources in order to increase business agility of their organization on the basis of their target architecture and changing market needs.

This 2 day training course aims at helping delegates to learn how to model their business processes and resources in order to adapt them to changes of their goals, strategies and impacted capabilities as part of the target architecture. On the basis of the key elements of business performance (strategies, tactics, KPI, business capabilities, etc...), delegates learn there how to elaborate a vision centric business process and resource cartography. Then, only using the appropriate BPMN and UML notation adapted to their language, they understand how to adapt them to changing strategies, tactics and policies.
bitsasBusiness and IT System Agility in the Digital Age7 hoursObjective:

This introduction seminar provides you with an overview of the digital business models, business and enterprise architecture frameworks as well as methodologies that organizations are trying to focus on to increase their business agility facing disruptions of the digital age.

In particular, this seminar aims at helping you to understand frameworks and reference architectures that are used worldwide to align digital business models and IT system architectures with the changing competitive landscape.
badspIntroduction to Business Analysis: Defining Successful Projects21 hoursThis course will show you how to:

- Perform key functions of the business analyst by applying a solid business analysis framework
- Conduct a business needs analysis to elicit stakeholder requirements
- Apply business analysis techniques to identify key problems and potential opportunities in your enterprise
- Create effective requirements and communication plans
- Analyse and specify requirements using industry best practices
- Manage solution assessment and validation
bprcaBusiness Process Re-engineering for Competitive Advantage21 hoursThe course will cover how to:

- Select, organise and implement a business re-engineering project
- Achieve competitive advantage by capitalising on technology and the use of UML tools
- Maximise customer satisfaction by matching process design to customer needs
- Identify typical symptoms of business process dysfunction
- Redesign workflow and structure successfully within the business
- Ensure best practice through the application of business patterns
busianaBusiness Analysis21 hoursA business/systems analyst solves business problems by designing information systems which execute the strategy defined by the business. These IT solutions generally achieve one of the following goals for the business: implement a new/novel business process, increase efficiency and productivity of existing business processes, or reduce operating costs of existing processes.

This course is intended for those who are moving into the Business Analysis profession and who may, after any pre-requisites are met, be interested in taking the CBAP certification examination by IIBA (www.iiba.org).

Who should attend?

- Entry-level IT Business Analysts
- Self-taught IT Business Analysts wanting to fill in the gaps and put all the pieces together
- Systems Analysts and programmers interested in expanding their role into the business area
babokiibaBusiness Analysis, BABOK V3.0 and IIBA Certification Preparation21 hoursSummary:

A business/systems analyst solves business problems by designing information systems which execute the strategy defined by the business. These IT solutions generally achieve one of the following goals for the business: implement a new business process, increase efficiency and productivity of existing business processes, or reduce operating costs of existing processes.

This course is intended for Business Analysts including those who may want to go on and prepare for an IIBA Certification (CCBA or CBAP) and is consistent with the framework outlined by the BABOK® Version 3.0

Objectives:

- Identify the critical principles, activities, tasks, and techniques outlined in the BABOK® V3.0
- Understand the core knowledge areas, activities, tasks, deliverables, and their relationships:

Key Definitions:

BABOK® (Business Analysis Body of Knowledge) Standard for practice of business analysis and serving as a framework describing the tasks that must be performed.

CCBA® (Certified of Competency in Business Analysis) A certification offered through the International Institute of Business Analysis (IIBA) requiring passing a test based on the BABOK® only after application approval which is based on education and experience.

CBAP®(Certified Business Analysis Professional) A certification offered through the International Institute of Business Analysis (IIBA) requiring passing a test based on the BABOK® only after application approval which is based on education and experience.
JasperSoftBIJasperSoft BI14 hoursJasperReports is an open-source reporting library that can be embedded into any Java application. JasperReports Server is a Java EE web application with advanced reporting capabilities, including scheduling and permissions.

In this instructor-led, live training, participants will learn to view and interact with business data as well as create and design reports and dashboards that are viewable on phones and tablets.

By the end of this training, participants will be able to:

- Set up and configure a JasperSoft ETL project
- Design and run an ETL job
- Use iReport to generate charts, images, sub-reports, and cross tabs

Audience

- BI analysts
- ETL developers
- Database professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
bpaumlbpmnBusiness Process Analysis with UML and BPMN14 hoursCourse Audience:

Managers who want to understand BPMN diagrams, Business Consultants, Business Analysts, Business Process Engineers, System Analysts and anyone who is involved in analyzing and planning Business Processes using standardized, unified modelling notation.

Course Goals:

- Produce high-quality process diagrams
- Model in the BPMN process notation
- Capture as-is process information
- Implement optimized process flows for people-intensive processes
- Simplify complex process definitions and break them into more manageable pieces
bpmnaBPMN for Analysts14 hoursThe course aims at teaching the practical knowledge and learning BPMN modeling skills at the Intermediate and Advanced levels.

The ideal participant is a business analyst training, meaning the person discovering, identifying, gathering and analyzing user requirements to the system. - The advanced computer application developers and system architects interested in the prospect of creating business processes, system and custom drivers.

The course does not address issues Executable BPMN level.

Training is conducted in much the dominant technique in the form of a computer (~ 90%), during which the one hand, we translate real business situations for BPD, on the other hand ready to interpret diagrams assessing their practical utility.

The course is very intensive practical course in the strict sense, the training did not deal with in any way, theoretical considerations of BPMN.
bpmn2baBPMN 2.0 for Business Analysts21 hoursThis course has been created for business analysts who want to use BPMN 2.0 extensively in their projects.

It focuses on practical aspects of all BPMN 2.0 specification as well as implementations of common patterns.

It is a series of short lectures followed by exercises: the delegates will have a problem described in English, and will have to create a proper diagram for each problem. After that, the diagrams will be discussed and assessed by the group and the trainer.

This course doesn't cover execution part of BPMN, it focuses on analysis and process design aspects of BPMN 2.0.

Upcoming Data Analysis Courses

CourseCourse DateCourse Price [Remote / Classroom]
Dashbuilder for engineers - Aberdeen - Berry StreetFri, 2018-10-05 09:30£1100 / £1430
Highcharts for Data Visualization - LeedsFri, 2018-10-05 09:30£1100 / £1450
IREB CPRE Foundation Level - Plymouth Drake CircusMon, 2018-10-08 09:30£1100 / £1250
Power BI for Developers - Reading TVPMon, 2018-10-08 09:30£4400 / £5460
Business Modeling for an Agile Enterprise - SwindonTue, 2018-10-09 09:30£2200 / £2550

Other regions

BirminghamBrightonBristolCardiffLeedsLondonManchesterNewcastleGlasgowSheffieldSouthamptonPortsmouthLiverpoolEdinburghBathCambridgeOxfordPlymouthSwanseaBradfordExeterLeicesterYorkCoventryAberdeenReadingSwindonJersey, CIIsle of ManBelfast City

Other countries

These courses are also available in other countries ››

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Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Selenium WebDriver in C#: Introduction to Web Testing Automation in C# Sheffield Wed, 2018-09-26 09:30 £2178 / £2578
Introduction to Ansible Automation London, Hatton Garden Mon, 2018-10-08 09:30 £1089 / £1464
Jenkins: Continuous Integration for Agile Development Manchester, King Street Thu, 2018-10-18 09:30 £2574 / £3224
Introduction to Recommendation Systems Swansea- Princess House Thu, 2018-10-18 09:30 £990 / £1140
Impact Evaluation – Quantitative Analysis London, Hatton Garden Wed, 2018-10-24 09:30 £2574 / £3324
CakePHP: Rapid Web Application Development Birmingham Tue, 2018-11-06 09:30 £4356 / £5656

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