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
Very clear and information packed course, would definitely recommend it.
Elsa Mitchell - Babcock International
Course: Excel For Statistical Data Analysis
Just wish to reiterate that Muhammad appeared to be a very motivated trainer who proved to be extremely knowledgeable and passionate about his subject.
Aurel Kessler - ECB
Course: Excel For Statistical Data Analysis
Very clear and information packed course, would definitely recommend it.
Elsa Mitchell - Babcock International
Course: Excel For Statistical Data Analysis
A lot of exercises, good explanation.
Katarzyna Rompala - UBS Kraków Sp. z o.o.
Course: Excel For Statistical Data Analysis
What did you like the most about the training?: Trainer attitude and knowledge.
Maria Ożóg - Stefko - Amway Business Center Europe
Course: Excel For Statistical Data Analysis
What did you like the most about the training?: How easily he explains and all the exercises.
JOanna Tomzik - Amway Business Center Europe
Course: Excel For Statistical Data Analysis
What did you like the most about the training?: A lot of examples and exercises.
Agnieszka Krasuska - Citibank Europe PLC
Course: Excel For Statistical Data Analysis
What did you like the most about the training?: The examples given for each excel function and also many useful shortcuts.
Izabela Niziołek - Citibank Europe PLC
Course: Excel For Statistical Data Analysis
I get answers on all my questions.
Natalia Gladii
Course: Data Analytics With R
I really was benefit from the willingness of the trainer to share more.
Balaram Chandra Paul
Course: A Practical Introduction to Data Analysis and Big Data
Liked very much the interactive way of learning.
Luigi Loiacono
Course: Data Analysis with Hive/HiveQL
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
Course: Data and Analytics - from the ground up
Learning how to use excel properly.
Torin Mitchell
Course: Data and Analytics - from the ground up
The way the trainer made complex subjects easy to understand.
Adam Drewry
Course: Data and Analytics - from the ground up
It was a very practical training, I liked the hands-on exercises.
Proximus
Course: Data Analysis with Hive/HiveQL
Detailed and comprehensive instruction given by experienced and clearly knowledgeable expert on the subject.
Justin Roche
Course: Data and Analytics - from the ground up
Tamil is very knowledgeable and nice person, I have learned from him a lot.
Aleksandra Szubert
Course: Data and Analytics - from the ground up
I liked the first session. Very intensive and quick.
Digital Jersey
Course: Data and Analytics - from the ground up
I was benefit from the good overview, good balance between theory and exercises.
Proximus
Course: Data Analysis with Hive/HiveQL
I mostly liked the patience of Tamil.
Laszlo Maros
Course: Data and Analytics - from the ground up
I enjoyed the dynamic interaction and “hands-on” the subject, thanks to the Virtual Machine, very stimulating!.
Philippe Job
Course: Data Analysis with Hive/HiveQL
I really was benefit from the real life practical examples.
Wioleta (Vicky) Celinska-Drozd
Course: Data and Analytics - from the ground up
I was benefit from the competence and knowledge of the trainer.
Jonathan Puvilland
Course: Data Analysis with Hive/HiveQL
It covered a broad range of information.
Continental AG / Abteilung: CF IT Finance
Course: A Practical Introduction to Data Analysis and Big Data
I generally was benefit from the presentation of technologies.
Continental AG / Abteilung: CF IT Finance
Course: A Practical Introduction to Data Analysis and Big Data
Overall the Content was good.
Sameer Rohadia
Course: A Practical Introduction to Data Analysis and Big Data
I liked the customised, in-house file processing and data analysis.
Glycom A/S
Course: Data Analysis in Python using Pandas and Numpy
I enjoyed the that we have used our own data as examples.
Glycom A/S
Course: Data Analysis in Python using Pandas and Numpy
I really liked the exercises on time series modeling.
Teleperformance
Course: Data Analytics With R
New tool which is “R” and I find it interesting to know the existence of such tool for data analysis.
Michael Lopez - Teleperformance
Course: Data Analytics With R
The tool was interesting and I see the use. I would like to learn about more about it.
Teleperformance
Course: Data Analytics With R
The trainer was fantastic and really knew his stuff. I learned a lot about the software I didn't know previously which will help a lot at my job!
Steve McPhail - Alberta Health Services - Information Technology
Course: Data Analysis with Hive/HiveQL
The high level principles about Hive, HDFS..
Geert Suys - Proximus Group
Course: Data Analysis with Hive/HiveQL
The handson. The mix practice/theroy
Proximus Group
Course: Data Analysis with Hive/HiveQL
Fulvio was able to grasp our companies business case and was able to correlate with the course material, almost instantly.
Samuel Peeters - Proximus Group
Course: Data Analysis with Hive/HiveQL
The trainer was excellent, He was always ready to answer my questions and share as much knowledge as he could.
Fahad Malalla - Tatweer Petroleum
Course: Advanced Python
The trainer gave the trainees opportunity to explore the application of stats analysis in their own profession and attempted to give comprehensive insight to the usefulness of different statistical methods.
Carl Dillon - Liverpool Mutual Homes
Course: Excel For Statistical Data Analysis
Translated by
good interaction with the trainer, dynamic exchange of knowledge
NIIT Limited
Course: Data Analytics With R
Translated by
Exercises on functions!
WIktor Paprzycki
Course: SQL Advanced level for Analysts
Translated by
way of translation
Małgorzata Mieczkowska
Course: SQL Advanced level for Analysts
Translated by
exercises
Wiktor Paprzycki
Course: SQL Advanced level for Analysts
Translated by
emphasis on examples with encoding "on the projector" is definitely on + for Tom.
ADVA OPTICAL NETWORKING SP. ZO O.
Course: Advanced Python
Translated by
| Code | Name | Duration | Overview |
|---|---|---|---|
| designpat | Design Patterns | 14 hours | There 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. |
| deckgl | deck.gl: Visualizing Large-scale Geospatial Data | 14 hours | deck.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 |
| highcharts | Highcharts for Data Visualization | 7 hours | Highcharts 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 |
| d3js | D3.js for Data Visualization | 7 hours | 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. Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| powerbifordev | Power BI for Developers | 28 hours | 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 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. |
| powerbiforbiandanalytics | Power BI for Business Analysts | 21 hours | 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 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. |
| matlabprescriptive | Matlab for Prescriptive Analytics | 14 hours | Prescriptive 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 |
| tidyverse | Introduction to Data Visualization with Tidyverse and R | 7 hours | The 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 |
| fsharpfordatascience | F# for Data Science | 21 hours | Data 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 |
| datavisualizationreports | Data Visualization: Creating Captivating Reports | 21 hours | In 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 Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| kdbplusandq | kdb+ and q: Analyze Time Series Data | 21 hours | kdb+ 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 |
| embeddingprojector | Embedding Projector: Visualizing Your Training Data | 14 hours | Embedding 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 |
| datameer | Datameer for Data Analysts | 14 hours | Datameer 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 |
| bigdatabicriminal | Big Data Business Intelligence for Criminal Intelligence Analysis | 35 hours | Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another. In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results. By the end of this training, participants will be able to: - Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation - Implement industrial big data storage and processing solutions for data analysis - Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation Audience - Law Enforcement specialists with a technical background Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| zeppelin | Zeppelin for Interactive Data Analytics | 14 hours | Apache 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 |
| magellan | Magellan: Geospatial Analytics on Spark | 14 hours | Magellan 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 |
| dashbuilderforengineers | Dashbuilder for Engineers | 7 hours | Dashbuilder 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 |
| dashbuilder | Dashbuilder for Business Users | 14 hours | Dashbuilder 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 |
| JasperSoftBI | JasperReports | 14 hours | In this instructor-led, live training, participants will learn to use JasperReports 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 Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| TalendDI | Talend Open Studio for Data Integration | 28 hours | 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 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. |
| fintech | Fintech: A Practical Introduction for Managers | 14 hours | Fintech 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 |
| mbd | Model Based Development for Embedded Systems | 21 hours | Model 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 |
| kylin | Apache Kylin: From Classic OLAP to Real-Time Data Warehouse | 14 hours | Apache 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 |
| sqladvals | SQL Advanced level for Analysts | 21 hours | The 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. |
| rforfinance | R Programming for Finance | 28 hours | R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems. By the end of this training, participants will be able to: - Understand the fundamentals of the R programming language - Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.) - Build applications that solve problems related to asset allocation, risk analysis, investment performance and more - Troubleshoot, integrate deploy and optimize an R application Audience - Developers - Analysts - Quants Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice Note - This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange. |
| apachedrill | Apache Drill | 21 hours | Apache Drill is a schema-free, distributed, in-memory columnar SQL query engine for Hadoop, NoSQL and other Cloud and file storage systems. The power of Apache Drill lies in its ability to join data from multiple data stores using a single query. Apache Drill supports numerous NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. Apache Drill is the open source version of Google's Dremel system which is available as an infrastructure service called Google BigQuery. In this instructor-led, live training, participants will learn the fundamentals of Apache Drill, then leverage the power and convenience of SQL to interactively query big data across multiple data sources, without writing code. Participants will also learn how to optimize their Drill queries for distributed SQL execution. By the end of this training, participants will be able to: - Perform "self-service" exploration on structured and semi-structured data on Hadoop - Query known as well as unknown data using SQL queries - Understand how Apache Drills receives and executes queries - Write SQL queries to analyze different types of data, including structured data in Hive, semi-structured data in HBase or MapR-DB tables, and data saved in files such as Parquet and JSON. - Use Apache Drill to perform on-the-fly schema discovery, bypassing the need for complex ETL and schema operations - Integrate Apache Drill with BI (Business Intelligence) tools such as Tableau, Qlikview, MicroStrategy and Excel Audience - Data analysts - Data scientists - SQL programmers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| danagr | Data and Analytics - from the ground up | 42 hours | Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions: What has happened? - processing and analyzing data - producing informative data visualizations What will happen? - forecasting future performance - evaluating forecasts What should happen? - turning data into evidence-based business decisions - optimizing processes The course itself can be delivered either as a 6 day classroom course or [remotely](https://www.nobleprog.co.uk/instructor-led-online-training-courses) over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs. |
| pentaho | Pentaho Open Source BI Suite Community Edition (CE) | 28 hours | Pentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities. In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE). By the end of this training, participants will be able to: - Install and configure Pentaho Open Source BI Suite Community Edition (CE) - Understand the fundamentals of Pentaho CE tools and their features - Build reports using Pentaho CE - Integrate third party data into Pentaho CE - Work with big data and analytics in Pentaho CE Audience - Programmers - BI 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. |
| superset | Getting Started with Apache Superset | 14 hours | This instructor-led, live training (onsite or remote) is aimed at data analysts and data scientists who wish to explore, organize, and visualize data using Apache Superset. By the end of this training, participants will be able to: - Install and configure Apache Superset. - Combine data from different databases. - Visualize large datasets. - Create and share complex dashboards. Format of the Course - Interactive lecture and discussion. - Lots of exercises and practice. - Hands-on implementation in a live-lab environment. Course Customization Options - This training is based on the latest version of Apache Superset. - To request a customized training for this course, please contact us to arrange. - To learn more about Apache Superset, please visit: https://superset.incubator.apache.org |
| pbidash | Power BI Dashboards | 14 hours | Learn how to Get & Transform Data to Prepare Interactive Dashboards Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports. Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc |
| Course | Course Date | Course Price [Remote / Classroom] |
|---|---|---|
| Agile Business Analysis - Chimney House Sheffield | Tue, 2019-02-19 09:30 | £2200 / £2800 |
| Agile Business Analysis - Glasgow | Mon, 2019-03-18 09:30 | £2200 / £2900 |
| Agile Business Analysis - Chimney House Sheffield | Wed, 2019-04-17 09:30 | £2200 / £2800 |
| Agile Business Analysis - Glasgow | Tue, 2019-06-18 09:30 | £2200 / £2900 |
| Agile Business Analysis - Chimney House Sheffield | Wed, 2019-06-26 09:30 | £2200 / £2800 |
| Course | Venue | Course Date | Course Price [Remote / Classroom] |
|---|---|---|---|
| RPA: Implementing Robotic Process Automation | London, Hatton Garden | Tue, 2019-01-29 09:30 | £3861 / £4986 |
| JIRA for Administrators | London, Hatton Garden | Tue, 2019-01-29 09:30 | £1100 / £1475 |
| AngularJS Basics | Edinburgh Training and Conference Venue | Wed, 2019-01-30 09:30 | £2200 / £2600 |
| Building Microservice Architectures | Bristol, Temple Gate | Tue, 2019-02-05 09:30 | £2600 / £3100 |
| QMS Auditor / Lead Auditor (ISO 9001) | Cardiff | Wed, 2019-03-13 09:30 | £3300 / £4200 |
| Natural Language Processing - AI/Robotics | London, Hatton Garden | Mon, 2019-04-01 09:30 | £3900 / £5025 |
| Understanding Modern Information Communication Technology | Cardiff | Mon, 2019-05-06 09:30 | £1100 / £1400 |
| React: Build Highly Interactive Web Applications | London, Hatton Garden | Tue, 2019-07-09 09:30 | £3300 / £4425 |
We are looking to expand our presence in the UK!
If you are interested in running a high-tech, high-quality training and consulting business.
Apply now!
