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 programmeming languages and methodologies used to perform Data Analysis. Data Analysis training is available as "onsite live training" or "remote live training". The UK onsite live Data Analysis trainings can be carried out locally on customer premises or in NobleProg corporate training centres. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider

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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.
zeppelinZeppelin for Interactive Data Analytics14 hoursApache Zeppelin is a web-based notebook for capturing, exploring, visualizing and sharing Hadoop and Spark based data.

This instructor-led, live training introduces the concepts behind interactive data analytics and walks participants through the deployment and usage of Zeppelin in a single-user or multi-user environment.

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

- Install and configure Zeppelin
- Develop, organize, execute and share data in a browser-based interface
- Visualize results without referring to the command line or cluster details
- Execute and collaborate on long workflows
- Work with any of a number of plug-in language/data-processing-backends, such as Scala (with Apache Spark), Python (with Apache Spark), Spark SQL, JDBC, Markdown and Shell.
- Integrate Zeppelin with Spark, Flink and Map Reduce
- Secure multi-user instances of Zeppelin with Apache Shiro

Audience

- Data engineers
- Data analysts
- Data scientists
- Software developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
powerbiforbiandanalyticsPower BI for Business Analysts21 hoursMicrosoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.

In this instructor-led, live training, participants will learn how to use Microsoft Power Bi to analyze and visualize data using a series of sample data sets.

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

- Create visually compelling dashboards that provide valuable insights into data
- Obtain and integrate data from multiple data sources
- Build and share visualizations with team members
- Adjust data with Power BI Desktop

Audience

- Business managers
- Business analystss
- Data analysts
- Business Intelligence (BI) and Data Warehouse (DW) teams
- Report developers

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.
matlabprescriptiveMatlab for Prescriptive Analytics14 hoursPrescriptive analytics is a branch of business analytics, together with descriptive and predictive analytics. It uses predictive models to suggest actions to take for optimal outcomes, relying on optimization and rules-based techniques as a basis for decision making.

In this instructor-led, live training, participants will learn how to use Matlab to carry out prescriptive analytics on a set of sample data.

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

- Understand the key concepts and frameworks used in prescriptive analytics
- Use MATLAB and its toolboxes to acquire, clean and explore data
- Use rules-based techniques including inference engines, scorecards, and decision trees to make decisions based on different business scenarios
- Use Monte Carlo simulation to analyze uncertainties and ensure sound decision making
- Deploy predictive and prescriptive models to enterprise systems

Audience

- Business analysts
- Operations planners
- Functional managers
- BI (Business Intelligence) team members

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
tidyverseIntroduction to Data Visualization with Tidyverse and R7 hoursThe Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

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

- Perform data analysis and create appealing visualizations
- Draw useful conclusions from various datasets of sample data
- Filter, sort and summarize data to answer exploratory questions
- Turn processed data into informative line plots, bar plots, histograms
- Import and filter data from diverse data sources, including Excel, CSV, and SPSS files

Audience

- Beginners to the R language
- Beginners to data analysis and data visualization

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
fsharpfordatascienceF# for Data Science21 hoursData science is the application of statistical analysis, machine learning, data visualization and programming for the purpose of understanding and interpreting real-world data. F# is a well suited programming language for data science as it combines efficient execution, REPL-scripting, powerful libraries and scalable data integration.

In this instructor-led, live training, participants will learn how to use F# to solve a series of real-world data science problems.

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

- Use F#'s integrated data science packages
- Use F# to interoperate with other languages and platforms, including Excel, R, Matlab, and Python
- Use the Deedle package to solve time series problems
- Carry out advanced analysis with minimal lines of production-quality code
- Understand how functional programming is a natural fit for scientific and big data computations
- Access and visualize data with F#
- Apply F# for machine learning

Explore solutions for problems in domains such as business intelligence and social gaming

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
datavisualizationreportsData Visualization: Creating Captivating Reports21 hoursIn this instructor-led, live training, participants will learn the skills, strategies, tools and approaches for visualizing and reporting data for different audiences. Case studies are also analyzed and discussed to exemplify how data visualization solutions are being applied in the real world to derive meaning out of data and answer crucial questions.

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

- Write reports with captivating titles, subtitles, and annotations using the most suitable highlighting, alignment, and color schemes for readability and user friendliness.
- Design charts that fit the audience's information needs and interests
- Choose the best chart types for a given dataset (beyond pie charts and bar charts)
- Identify and analyze the most valuable and relevant data quickly and efficiently
- Select the best file formats to include in reports (graphs, infographics, references, GIFs, etc.)
- Create effective layouts for displaying time series data, part-to-whole relationships, geographic patterns, and nested data
- Use effective color-coding to display qualitative and text-based data such as sentiment analysis, timelines, calendars, and diagrams
- Apply the most suitable tools for the job (Excel, R, Tableau, mapping programs, etc.)
- Prepare datasets for visualization

Audience

- Data analysts
- Business managers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
kdbplusandqkdb+ and q: Analyze Time Series Data21 hourskdb+ is an in-memory, column-oriented database and q is its built-in, interpreted vector-based language. In kdb+, tables are columns of vectors and q is used to perform operations on the table data as if it was a list. kdb+ and q are commonly used in high frequency trading and are popular with the major financial institutions, including Goldman Sachs, Morgan Stanley, Merrill Lynch, JP Morgan, etc.

In this instructor-led, live training, participants will learn how to create a time series data application using kdb+ and q.

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

- Understand the difference between a row-oriented database and a column-oriented database
- Select data, write scripts and create functions to carry out advanced analytics
- Analyze time series data such as stock and commodity exchange data
- Use kdb+'s in-memory capabilities to store, analyze, process and retrieve large data sets at high speed
- Think of functions and data at a higher level than the standard function(arguments) approach common in non-vector languages
- Explore other time-sensitive applications for kdb+, including energy trading, telecommunications, sensor data, log data, and machine and network usage monitoring

Audience

- Developers
- Database engineers
- Data scientists
- Data analysts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
embeddingprojectorEmbedding Projector: Visualizing Your Training Data14 hoursEmbedding Projector is an open-source web application for visualizing the data used to train machine learning systems. Created by Google, it is part of TensorFlow.

This instructor-led, live training introduces the concepts behind Embedding Projector and walks participants through the setup of a demo project.

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

- Explore how data is being interpreted by machine learning models
- Navigate through 3D and 2D views of data to understand how a machine learning algorithm interprets it
- Understand the concepts behind Embeddings and their role in representing mathematical vectors for images, words and numerals.
- Explore the properties of a specific embedding to understand the behavior of a model
- Apply Embedding Project to real-world use cases such building a song recommendation system for music lovers

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
deckgldeck.gl: Visualizing Large-scale Geospatial Data14 hoursdeck.gl is an open-source, WebGL-powered library for exploring and visualizing data assets at scale. Created by Uber, it is especially useful for gaining insights from geospatial data sources, such as data on maps.

This instructor-led, live training introduces the concepts and functionality behind deck.gl and walks participants through the set up of a demonstration project.

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

- Take data from very large collections and turn it into compelling visual representations
- Visualize data collected from transportation and journey-related use cases, such as pick-up and drop-off experiences, network traffic, etc.
- Apply layering techniques to geospatial data to depict changes in data over time
- Integrate deck.gl with React (for Reactive programming) and Mapbox GL (for visualizations on Mapbox based maps).
- Understand and explore other use cases for deck.gl, including visualizing points collected from a 3D indoor scan, visualizing machine learning models in order to optimize their algorithms, etc.

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
datameerDatameer for Data Analysts14 hoursDatameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion.

In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources.

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

- Create, curate, and interactively explore an enterprise data lake
- Access business intelligence data warehouses, transactional databases and other analytic stores
- Use a spreadsheet user-interface to design end-to-end data processing pipelines
- Access pre-built functions to explore complex data relationships
- Use drag-and-drop wizards to visualize data and create dashboards
- Use tables, charts, graphs, and maps to analyze query results

Audience

- Data analysts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
magellanMagellan: Geospatial Analytics on Spark14 hoursMagellan is an open-source distributed execution engine for geospatial analytics on big data. Implemented on top of Apache Spark, it extends Spark SQL and provides a relational abstraction for geospatial analytics.

This instructor-led, live training introduces the concepts and approaches for implementing geospacial analytics and walks participants through the creation of a predictive analysis application using Magellan on Spark.

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

- Efficiently query, parse and join geospatial datasets at scale
- Implement geospatial data in business intelligence and predictive analytics applications
- Use spatial context to extend the capabilities of mobile devices, sensors, logs, and wearables

Audience

- Application developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
d3jsD3.js for Data Visualization7 hoursD3.js (or D3 for Data-Driven Documents) is a JavaScript library that uses SVG, HTML5, and CSS for producing dynamic, interactive data visualizations in web browsers.

In this instructor-led, live training, participants will learn how to create web-based data-driven visualizations that run on multiple devices responsively.

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

- Use D3 to create interactive graphics, information dashboards, infographics and maps.
- Control HTML with jQuery-like selections.
- Transform the DOM by selecting elements and joining to data.
- Export SVG for use in print publications.

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
dashbuilderforengineersDashbuilder for Engineers7 hoursDashbuilder is an open-source web application for visually creating business dashboards and reports.

In this instructor-led, live training, participants will learn set up, configure, integrate and deploy Dashbuilder.

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

- Extract data from heterogeneous sources such as JDBC databases and text files
- Use connectors to connect to third-party systems and platforms such as jBPM
- Configure roles, permissions and access controls for users
- Deploy Dashbuilder to a live production environment

Audience

- Developers
- IT and system architects

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
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
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
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.
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
mbdModel Based Development for Embedded Systems21 hoursModel Based Development (MBD) is a software development methodology that enables faster, more cost-effective development of dynamic systems such as control systems, signal processing and communication systems. It relies on graphic modeling rather than the traditional text based programming.

In this instructor-led, live training participants will learn how to apply MBD methodologies to reduce development costs and accelerate the time to market of their embedded software products.

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

- Select and utilize the right tools for implementing MBD.
- Use MBD to carry out rapid development in the early stages of their embedded software project.
- Shorten the release of their embedded software into the market.

Audience

- Embedded systems engineers
- Developers and programmers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
kylinApache Kylin: From Classic OLAP to Real-Time Data Warehouse14 hoursApache Kylin is an extreme, distributed analytics engine for big data.

In this instructor-led live training, participants will learn how to use Apache Kylin to set up a real-time data warehouse.

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

- Consume real-time streaming data using Kylin
- Utilize Apache Kylin's powerful features, including snowflake schema support, a rich SQL interface, spark cubing and subsecond query latency

Note

- We use the latest version of Kylin (as of this writing, Apache Kylin v2.0)

Audience

- Big data engineers
- Big Data analysts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
sqladvalsSQL Advanced level for Analysts 21 hoursThe aim of this course is to provide a clear understanding of the use of SQL for different
databases (Oracle, SQL Server, MS Access...). Understanding of analytic functions and the
way how to join different tables in a database will help delegates to move data analysis
operations to the database side, instead of doing this in MS Excel application. This can also
help in creating any IT system, which uses any relational database.
kibanaKibana: Essentials14 hoursThis training introduces Kibana to the users of Elastic Search.

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.
powerbifordevPower BI for Developers28 hoursMicrosoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.

In this instructor-led, live training, participants will learn how to use Power BI to develop custom software solutions for the Power BI and Azure platforms.

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

- Configure real-time dashboards
- Create custom visualizations
- Integrate rich analytics into existing applications
- Embed interactive reports and visuals into existing applications
- Access data from within an application
- Master Power BI Portal, Desktop, Embedded and Rest API
- Integrate R Scripts into Power BI Desktop

Audience

- Developers
- Architects

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.
highchartsHighcharts for Data Visualization7 hoursHighcharts is an open-source JavaScript library for creating interactive graphical charts on the Web. It is commonly used to represent data in a more user-readable and interactive fashion.

In this instructor-led, live training, participants will learn how to create high-quality data visualizations for web applications using Highcharts.

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

- Set up interactive charts on the Web using only HTML and JavaScript
- Represent large datasets in visually interesting and interactive ways
- Export charts to JPEG, PNG, SVG, or PDF
- Integrate Highcharts with jQuery Mobile for cross-platform compatibility

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
pythonmultipurposeAdvanced Python28 hoursIn this instructor-led training, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.

Audience

- Developers

Format of the course

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

Notes

- If you wish to add, remove or customize any section or topic within this course, please contact us to arrange.
pythonexcelPython for Excel14 hoursPython is a high-level programming language famous for its clear syntax and code readability. Excel is a spreadsheet application developed by Microsoft which is widely used in many industries. Adding Python to Excel makes it a powerful tool for data analytics.

In this instructor-led, live training, participants will learn how to combine the capabilities of Python and Excel.

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

- Install and configure packages for integrating Python and Excel
- Read, write, and manipulate Excel files using Python
- Call Python functions from Excel

Audience

- Developers
- Programmers

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.
microstrategyMicroStrategy Business Intelligence (BI)14 hoursMicroStrategy is a business intelligence (BI) and visualization tool for analyzing big data. MicroStrategy is used by companies such as Netflix, eBay, and Adobe.

In this instructor-led, live training, participants will learn how to use MicroStrategy to access various data sources, then generate reports and dashboards for analysis.

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

- Install and configure MicroStrategy
- Use MicroStrategy to perform predictive analytics on large data sets
- Access and analyze data from data warehouses, Excel files, and Apache Hadoop
- Create elaborate reports and dashboards

Audience

- Business Intelligence Professionals
- Data Analysts
- ETL Developers
- Big Data Professionals

Format of the Course

- Interactive lecture and discussion
- Lots of exercises and practice
- Hands-on implementation in a live-lab environment

Note

- To request a customized training for this course, please contact us to arrange.
knimeKNIME Analytics Platform for BI21 hoursKNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.

This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows
tabfundTableau Fundamentals14 hoursThis is a Tableau user beginners course; it is intended for anyone who is looking to work with data and is designed to help you use the main functions in Tableau.

During the course you will be able to:

- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
- Represent your data using the following visualization types:

- Cross tabs
- Geographic maps
- Heat maps
- Tree maps
- Pie charts and bar charts
- Dual axis and combined charts with different mark types
- Highlight Tables
- Scatter Plots

- Build dashboards to share visualizations.
arrowApache Arrow for Data Analysis across Disparate Data Sources14 hoursApache Arrow is an open-source in-memory data processing framework. It is often used together with other data science tools for accessing disparate data stores for analysis. It integrates well with other technologies such as GPU databases, machine learning libraries and tools, execution engines, and data visualization frameworks.

In this onsite instructor-led, live training, participants will learn integrate Apache Arrow with various Data Science frameworks to access data from disparate data sources.

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

- Install and configure Apache Arrow in a distributed clustered environment
- Use Apache Arrow to access data from disparate data sources
- Use Apache Arrow to bypass the need for constructing and maintaining complex ETL pipelines
- Analyze data across disparate data sources without having to consolidate it into a centralized repository

Audience

- Data scientists
- Data engineers

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.

Upcoming Data Analysis Courses

CourseCourse DateCourse Price [Remote / Classroom]
Apache Drill for On-the-Fly Analysis of Multiple Big Data Formats - Bristol, Temple GateMon, 2018-12-03 09:30£3300 / £4050
Apache Drill for On-the-Fly Analysis of Multiple Big Data Formats - OxfordMon, 2018-12-03 09:30£3300 / £4125
Apache Drill for On-the-Fly Analysis of Multiple Big Data Formats - Swansea- Princess HouseMon, 2018-12-03 09:30£3300 / £3750
Apache Drill for On-the-Fly Analysis of Multiple Big Data Formats - Aberdeen - Berry StreetWed, 2018-12-05 09:30£3300 / £4290
Apache Drill for On-the-Fly Analysis of Multiple Big Data Formats - St Helier, Jersey, Channel IslesMon, 2018-12-10 09:30£3300 / £4725
Weekend Data Analysis courses, Evening Data Analysis training, Data Analysis boot camp, Data Analysis instructor-led, Weekend Data Analysis training, Evening Data Analysis courses, Data Analysis coaching, Data Analysis instructor, Data Analysis trainer, Data Analysis training courses, Data Analysis classes, Data Analysis on-site, Data Analysis private courses, Data Analysis one on one training

Course Discounts

CourseVenueCourse DateCourse Price [Remote / Classroom]
Android DevelopmentGlasgowMon, 2018-11-19 09:30£4356 / £5756
Selenium WebDriver in C#: Introduction to Web Testing Automation in C#Edinburgh Training and Conference VenueTue, 2018-11-20 09:30£2178 / £2578
F#: Introduction to Functional ProgrammingPortsmouthMon, 2018-11-26 09:30£2178 / £2478
Python: Automate the Boring StuffSwindonWed, 2018-11-28 09:30£2178 / £2528
JMeter Fundamentals and JMeter AdvancedEdinburgh Training and Conference VenueMon, 2018-12-03 09:30£2178 / £2578
HAProxy AdministrationLondon, Hatton GardenMon, 2018-12-03 09:30£2178 / £2928
From Data to Decision with Big Data and Predictive AnalyticsBirmingham Tue, 2018-12-11 09:30£3861 / £4836
Test Automation with SeleniumManchester, King StreetWed, 2018-12-12 09:30£3267 / £4242
Artificial Intelligence OverviewLondon, Hatton GardenThu, 2018-12-27 09:30£1287 / £1662
RPA: Implementing Robotic Process AutomationLondon, Hatton GardenTue, 2019-01-29 09:30£3861 / £4986

Course Discounts Newsletter

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