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 Data Analysis trainings in Bulgaria can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
Testimonials
Relaxed style. Help with the issues we were having with current setup.
Quidco
Course: Elasticsearch for Developers
The content relevnt and to the point
Qiniso Mdletshe - Quidco
Course: Elasticsearch for Developers
Trainer was very open minded about questions and tried to answer as many as possible.
Quidco
Course: Elasticsearch for Developers
The trainer was very good. He presented the material in a really accessible way.
Hydrock
Course: Introduction to Data Visualization with Tidyverse and R
covered basics as well as more advanced features. Finished a bit ahead of scheduled which allowed some time for real world questions from participants
Philip Morris Products SA OC Division
Course: Power BI for Business Analysts
Relevant info and tips
Bandeira Adrien - Philip Morris Products SA OC Division
Course: Power BI for Business Analysts
The knowledge of trainor about the tool.
Kendrick Bacani - Thakral One Inc.
Course: Data analysis with Tableau
The exercises made sense and they were well prepared
Philip Morris Products SA OC Division
Course: Power BI for Business Analysts
Training exercises and hands on practice.
Thakral One Inc.
Course: Data analysis with Tableau
The training is very informative and interactive in terms of the hands-on activities.
John Marnel San Pedro - Thakral One Inc.
Course: Data analysis with Tableau
The training is very informative and interactive in terms of the hands-on activities.
John Marnel San Pedro - Thakral One Inc.
Course: Data analysis with Tableau
Exercises
Verna Villo - Thakral One Inc.
Course: Data analysis with Tableau
All the information and details he shared about Tableau and the examples he showed us as well
Thakral One Inc.
Course: Data analysis with Tableau
The way he sure that each trainee understand each process.
Thakral One Inc.
Course: Data analysis with Tableau
Karthik speaks very clear and provides good examples. He tackled end-to-end things about Tableau and make sure that everyone understands the lesson.
Carmela Ursua - American Power Conversion
Course: Tableau Fundamentals
The course outline itself is structured very well. Even those who don't have idea with the subject can still follow.
Ian Benedict Almeida - American Power Conversion
Course: Tableau Fundamentals
The exercises, because we can already apply what have been taught to us.
American Power Conversion
Course: Tableau Fundamentals
all aspect with the introduction of connecting R programming and mySQL
Ailene Gonzaga - American Power Conversion
Course: Tableau Fundamentals
The flexibilty and clear information
WAFEYA AlMadhoob - Tatweer Petroleum
Course: Advanced Python
I liked that we got a general overview of elastic and learned tons of things that could be applied in current project the first day. I also liked that we went through current project code with a code review and mention improvements or/and stuff to think about or take up for discussion in the project on the second day. I like that the training gave me a good base to continue delve into elastic search.
Mattias Hansson - Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
The trainer's openness to questions and willingness to help/answer/explain.
Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
He is very knowledgeable and could answer all the questions
Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
The content.
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Pictures
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Willingness of Krzysztof to answer all questions.
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Live coding, helping with code and different bugs, explanation with examples
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Good interaction with audience, a lot of questions
Kinga Kalinowska - HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
The course has good proportion between theory and practice, knowledgeable trainer, a lot of training materials and user in practice.
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
It covered many algorithms of ML and is useful to provide a track
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
It was cery consistent
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
All the exercises have been discussed
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Overall I liked course a lot. Good discussions. Sometimes to overall, but I understand that we were short of time.
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
It covered systematically all the main topics of machine earning: both the theory and implementation. It gave me great background for further work. It also answered most of the questions about machine learning that I had up to this point.
HSBC Service Delivery (Polska) Sp. z o.o
Course: Python Programming
Trainer develops training based on participant's pace
Farris Chua
Course: Python Programming Fundamentals
Trainer develops training based on participant's pace
Farris Chua
Course: Data Analysis in Python using Pandas and Numpy
The notebooks were well-prepared and the examples were on point.
Course: Python Programming Fundamentals
The notebooks and examples were on point.
Course: Data Analysis in Python using Pandas and Numpy
The hands on
Course: Python Programming Fundamentals
The explanation provided is clear.
Course: Data Analysis in Python using Pandas and Numpy
New knowledge about SOAP and Rest API.
Total Access Communication Public Company Limited
Course: Talend Open Studio for Data Integration
It Good for many exercise.
Gun Thepinjai - Total Access Communication Public Company Limited
Course: Talend Open Studio for Data Integration
I learned a lot from this training and now understand how Grafana looks at different data source to pull data and display in a readable manner. I liked that we used real world data to display
Shield Consulting Solutions, Inc.
Course: Grafana
Real world knowledge from someone in the industry
Matthew Cerbas - Shield Consulting Solutions, Inc.
Course: Grafana
Exercises creating panels and alerts
Shield Consulting Solutions, Inc.
Course: Grafana
The fact he had dif excel and data sheets with exercises for us to do.
Deepakie Singh Sodhi - Queens College, CUNY
Course: Excel For Statistical Data Analysis
Steve was willing to answer every questions and worked diligently to address any individual concerns or technical issues as they arose in the class. He also did a great job of presenting the technical details in a way that made it less intimidating to even the least tech savvy people in the room. Personally, learning about some useful shortcuts in Excel that I didn't know about will certainly improve my overall workflow when using Excel in the future! I am so appreciative of those little details that I was exposed to during the two-day training.
Alan Gonzalez - Queens College, CUNY
Course: Excel For Statistical Data Analysis
The hands on practices.
Titansoft Pte Ltd
Course: Object Oriented Design using Design Patterns
Good exercises
Hui Yi Neo - Titansoft Pte Ltd
Course: Object Oriented Design using Design Patterns
the flexibility and the expertise of the trainer and I got more interested in working with tableau
Mori Saed-Samii - Payolution
Course: Tableau Fundamentals
It is very much practice related. I was able to use Tableau right away!
Rainer Koch - Payolution
Course: Tableau Fundamentals
The notebooks were well-prepared and the examples were on point.
Course: Python Programming Fundamentals
The notebooks and examples were on point.
Course: Data Analysis in Python using Pandas and Numpy
The hands on
Course: Python Programming Fundamentals
The explanation provided is clear.
Course: Data Analysis in Python using Pandas and Numpy
Data Analysis Subcategories in Bulgaria
Data Analysis Course Outlines in Bulgaria
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.
By the end of this training, participants will be able to:
- Share visualizations among different team members.
- Secure access to software based on roles and access controls.
- Create visualizations such as map charts.
- Integrate statistical computing languages such as R with Spotfire.
Format of the Course
- Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development.
Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop.
Audience:
This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads.
At Course Completion
Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.
- Power BI
- Power BI Desktop
- Working with CSV, TXT, and Excel Worksheets
- Connecting to Databases
- Merging, Grouping, Summarizing, and Calculating Data
- Reporting
- Power BI Online
- Web analysist
- Data analysists
- Market researchers
- Marketing and sales professionals
- System administrators
Format of the Course
-
Part lecture, part discussion, heavy hands-on practice
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.
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
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.
This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.
By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.
Format of the Course
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
In this instructor-led, live training, participants will learn how to set up and operate Nagios XI as they step through process of managing Linux and Windows servers in a series of hands-on live-lab exercises.
By the end of this training, participants will be able to:
- Install and configure Nagios XI
- Monitor Windows and Linux machines
- Monitor network devices
- Perform administrating tasks, including backing up, restoring, and scheduling downtime of Nagios XI
Audience
- System administrators
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.
The level of this course is Intermediate
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.
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.
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.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
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
In the second part, we demonstrate how to use MATLAB for data mining, machine learning and predictive analytics. To provide participants with a clear and practical perspective of MATLAB's approach and power, we draw comparisons between using MATLAB and using other tools such as spreadsheets, C, C++, and Visual Basic.
In the third part of the training, participants learn how to streamline their work by automating their data processing and report generation.
Throughout the course, participants will put into practice the ideas learned through hands-on exercises in a lab environment. By the end of the training, participants will have a thorough grasp of MATLAB's capabilities and will be able to employ it for solving real-world data science problems as well as for streamlining their work through automation.
Assessments will be conducted throughout the course to gauge progress.
Format of the Course
- Course includes theoretical and practical exercises, including case discussions, sample code inspection, and hands-on implementation.
Note
- Practice sessions will be based on pre-arranged sample data report templates. If you have specific requirements, please contact us to arrange.
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
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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, 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
Since 2006, KNIME has been used in pharmaceutical research, it also used in other areas like CRM customer data analysis, business intelligence and financial data analysis.
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
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.
In this instructor-led, live course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes.
Audience
- Data analysts or anyone interested in learning how to interpret data to solve problems
Format of the Course
- After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.
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
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
By the end of this training, participants will be able to:
- Improve business reports using IRISXtract.
- Use IRISPowerscan to file documents automatically.
- Process purchase orders, accounts payable, automate email extraction, and more with solution packages.
By the end of this training, participants will be able to:
- Use PowerCenter to build mappings, tasks, and workflows.
- Maintain repository migration and external version control systems.
- Import and/or export at the metadata level.
This instructor-led, live training (onsite or remote) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard.
By the end of this training, participants will be able to:
- Design beautiful and efficient dashboards following the critical rules.
- Choose the right charts based on the kind of data for display.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
_ireland.gif "environmental protection agency (epa) ireland")
.jpg "international air transport association (iata)")
.png "aeronautical radio, incorporated (arinc)")
.jpg "american international group (aig)")
