Online or onsite, 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 "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Data Analysis training can be carried out locally on customer premises in Finland or in NobleProg corporate training centers in Finland.
NobleProg -- Your Local Training Provider
Testimonials
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
all
Albert JACOB - Proximus
Course: Python Programming
Flask, dataclasses
Atos Global Delivery Center Polska Sp. Z o.o. Sp. K.,
Course: Advanced Python
Gain knowledge about BPMN modelling
BC Pension Corporation
Course: Business Process Modelling in BPMN 2.0
Mat's approach to delivering the content of the material was excellent. He started from the basics to the advanced stage of BPMN with good practical examples. He simplified the course and made it very interactive. He blend participants' thoughts to demonstrate various way of modeling process.
BC Pension Corporation
Course: Business Process Modelling in BPMN 2.0
The trainers knowledge and teaching style.
BC Pension Corporation
Course: Business Process Modelling in BPMN 2.0
I thought is was informative and had some good examples. The trainer really worked to show us how to incorporate our ideas.
BC Pension Corporation
Course: Business Process Modelling in BPMN 2.0
Mat was very friendly and accommodating. he explained the content well.
Rob McDonald - BC Pension Corporation
Course: Business Process Modelling in BPMN 2.0
Great examples. Very knowledgeable on the topic, great speaker
Shane Lynch - BC Pension Corporation
Course: Business Process Modelling in BPMN 2.0
The simulator
BC Pension Corporation
Course: Business Process Modelling in BPMN 2.0
The BPM section
Schroder Investment Management (Europe) S.A.
Course: BPMN 2.0 for Business Analysts
theoratical and practical at the same time.
Schroder Investment Management (Europe) S.A.
Course: BPMN 2.0 for Business Analysts
The sequence of lectures followed by exercises was good, I always realised I had more questions to ask when I actually tried to use the notation myself.
Schroder Investment Management (Europe) S.A.
Course: BPMN 2.0 for Business Analysts
Class size was perfect. Trainer was very good.- flexible and open for questions.
BC Pension Corporation
Course: Business Process Modelling in BPMN 2.0
BPMN techniques
Schroder Investment Management (Europe) S.A.
Course: BPMN 2.0 for Business Analysts
l'aspect hulain
Pascal FONTAN - LA POSTE
Course: ELK: Elasticsearch, Logstash and Kibana for Administrators
R programming
Osden Jokonya - University of the Western Cape
Course: A Practical Introduction to Data Analysis and Big Data
Practical exercises
JOEL CHIGADA - University of the Western Cape
Course: A Practical Introduction to Data Analysis and Big Data
Learning basic DAX and dash boarding.
Rhodes Food Group Pty Ltd
Course: Power BI for Business Analysts
The pace was very good Revising topics at the beginning of every session
Qarar Consultancy FZ LLC
Course: Python Programming
Phillipe's delivery was excellent, was very engaging and he managed to make a subject that can be quite dry seem very interesting. The subject matter was very relevant to us and what we are trying to do in our organisation.
Kerin McEwing - Scottish Enterprise
Course: Business Process Modelling in BPMN 2.0
Practical exercises for the different levels of modelling in BPMN 2.0 Learning how to do Use Cases and model from this into BPMN BPMN governance, roles and responsibilities in an organisation.
Scottish Enterprise
Course: Business Process Modelling in BPMN 2.0
I did learn a lot on the subject.
Statistics Canada
Course: SAS Programming
I like the simple but informative example codes.
Yue Wang - DBS Bank Ltd
Course: Design Patterns
The trainer was well prepared, communicated clearly and explained things well.
DBS Bank Ltd
Course: Design Patterns
The trainer is quite experienced in this topic and can provide suggestions regarding data science project specific practices.
DBS Bank Ltd
Course: Design Patterns
broad overview of techniques
Kay Jan Wong - DBS Bank Ltd
Course: Design Patterns
The fact that Richard could interactively help us with the examples if we got stuck
Chris Denslow - CNR International
Course: Tableau Fundamentals
Good general insight , when managed to keep up, like seeing trainer desk top at same time
CNR International
Course: Tableau Fundamentals
Enjoyed most of content and found it very useful
Linda Stuart - CNR International
Course: Tableau Fundamentals
Interactive - we worked along with the trainer which made it much easier to absorb the training.
CNR International
Course: Tableau Fundamentals
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course: KNIME Analytics Platform for BI
What I liked the most about the course was the clear way the subject was given in which I really liked tableau.
Pedro Rita - Mathieu & Jonatan Lda
Course: Tableau Fundamentals
Gathering knowledge about Splunk
Global Knowledge
Course: Splunk Fundamentals
Beside the high pace, it was for me a useful course. At least i understand the fundamentals.
Global Knowledge
Course: Splunk 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 Finland
Data Analysis Course Outlines in Finland
Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
This course has been created for business analysts who want to use BPMN 2.0 extensively in their projects.
It focuses on practical aspects of all BPMN 2.0 specification as well as implementations of common patterns.
It is a series of short lectures followed by exercises: the delegates will have a problem described in English, and will have to create a proper diagram for each problem. After that, the diagrams will be discussed and assessed by the group and the trainer.
This course doesn't cover execution part of BPMN, it focuses on analysis and process design aspects of BPMN 2.0.
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.
14 hours
Overview
This instructor-led, live training in Finland (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.
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.
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.
14 hours
Overview
Objective:
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.
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.
35 hours
Overview
The 5-day course demonstrates through hands-on practice the fundamentals of Nagios.
21 hours
Overview
This course covers the installation, planning and configuration of Nagios Core
The level of this course is Intermediate
The level of this course is Intermediate
21 hours
Overview
Nagios XI is enterprise server and network monitoring software.
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.
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.
21 hours
Overview
It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.
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
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
21 hours
Overview
Course is dedicated for those who would like to know an alternative program to the commercial MATLAB package. The three-day training provides comprehensive information on moving around the environment and performing the OCTAVE package for data analysis and engineering calculations. The training recipients are beginners but also those who know the program and would like to systematize their knowledge and improve their skills. Knowledge of other programming languages is not required, but it will greatly facilitate the learners' acquisition of knowledge. The course will show you how to use the program in many practical examples.
14 hours
Overview
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
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
14 hours
Overview
MicroStrategy 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.
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.
28 hours
Overview
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.
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.
21 hours
Overview
Audience
- Web analysist
- Data analysists
- Market researchers
- Marketing and sales professionals
- System administrators
Format of the Course
-
Part lecture, part discussion, heavy hands-on practice
- Web analysist
- Data analysists
- Market researchers
- Marketing and sales professionals
- System administrators
Format of the Course
-
Part lecture, part discussion, heavy hands-on practice
14 hours
Overview
About the Course:
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
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
7 hours
Overview
Microsoft 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.
This instructor-led, live training (online or onsite) 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.
This instructor-led, live training (online or onsite) 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.
21 hours
Overview
In this instructor-led, live training in Finland (onsite or remote), 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.
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.
7 hours
Overview
Munin is an open-source monitoring tool that helps system administrators monitor resources such as servers, workstations, networks, SANs, applications, network devices, etc. It shows resource trends and provides insights into questions such as "what just happened to kill our performance?" It includes visualization tools and is available on various flavors of Linux and FreeBSD.
Format of the Course
- Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development.
Format of the Course
- Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development.
21 hours
Overview
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.
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 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
21 hours
Overview
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.
The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.
This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.
This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
21 hours
Overview
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
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
14 hours
Overview
This instructor-led, live training in Finland (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions.
By the end of this training, participants will be able to:
- Install and configure Cloud Pak for Data.
- Unify the collection, organization and analysis of data.
- Integrate Cloud Pak for Data with a variety of services to solve common business problems.
- Implement workflows for collaborating with team members on the development of an AI solution.
By the end of this training, participants will be able to:
- Install and configure Cloud Pak for Data.
- Unify the collection, organization and analysis of data.
- Integrate Cloud Pak for Data with a variety of services to solve common business problems.
- Implement workflows for collaborating with team members on the development of an AI solution.
14 hours
Overview
This instructor-led, live training in Finland (online or onsite) is aimed at business analysts who wish to use IBM Cognos for data analysis and reporting.
By the end of this training, participants will be able to:
- Analyze and share insights about data.
- Visualize business performance.
- Use AI-assisted preparation to cleanse and combine data sources.
- Uncover hidden patterns in data with IBM Cognos Analytics built in AI features.
By the end of this training, participants will be able to:
- Analyze and share insights about data.
- Visualize business performance.
- Use AI-assisted preparation to cleanse and combine data sources.
- Uncover hidden patterns in data with IBM Cognos Analytics built in AI features.
14 hours
Overview
This instructor-led, live training in Finland (online or onsite) is aimed at field ecologists and conservation managers who wish to post-process Pix4D drone data.
By the end of this training, participants will be able to:
- Implement Google Earth to enhance UAV mapping .
- Use outputs of images to generate reports.
- Post-process with GIS and CAD software for advanced drone data modeling.
By the end of this training, participants will be able to:
- Implement Google Earth to enhance UAV mapping .
- Use outputs of images to generate reports.
- Post-process with GIS and CAD software for advanced drone data modeling.
14 hours
Overview
This instructor-led, live training in Finland (online or onsite) is aimed at field ecologists and conservation managers who wish to land survey and drone map with Pix4D.
By the end of this training, participants will be able to:
- Use end to end drone mapping processes and techniques.
- Achieve high surveying accuracy.
- Understand the fundamentals of global coordinate systems and GPS.
- Generate and analyze survey output with Pix4D's image processing software.
By the end of this training, participants will be able to:
- Use end to end drone mapping processes and techniques.
- Achieve high surveying accuracy.
- Understand the fundamentals of global coordinate systems and GPS.
- Generate and analyze survey output with Pix4D's image processing software.
7 hours
Overview
This instructor-led, live training in Finland (online or onsite) is aimed at content managers who wish to optimize and update company content with IRIS.
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:
- Improve business reports using IRISXtract.
- Use IRISPowerscan to file documents automatically.
- Process purchase orders, accounts payable, automate email extraction, and more with solution packages.
14 hours
Overview
In this instructor-led, live training in Finland, 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
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
21 hours
Overview
Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing.
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 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.
14 hours
Overview
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
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
14 hours
Overview
This training introduces Kibana to the users of Elasticsearch.
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.
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.
21 hours
Overview
KNIME 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
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
Upcoming Data Analysis Courses in Finland
2020-08-17 09:30:00
Helsinki, Pohjoisesplanadi
35 hours
2020-08-24 09:30:00
Espoo
35 hours
2020-10-12 09:30:00
Helsinki, Pohjoisesplanadi
35 hours
2020-12-07 09:30:00
Helsinki, Pohjoisesplanadi
35 hours
2021-02-01 09:30:00
Helsinki, Pohjoisesplanadi
35 hours
Other countries
Consulting in Finland
Online Data Analysis courses, 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
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