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 Indonesia 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
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
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
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 Indonesia
Data Analysis Course Outlines in Indonesia
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.
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
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
Format of the Course
- Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development.
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 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
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 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
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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:
- 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:
- 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:
- 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:
- 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
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 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.
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.
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
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.
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