
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 trainings in Indonesia can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
I mostly liked the knowledge of the Trainer.
Sripal S
Course: Understanding Business Process Modeling with BPMN 2.0
I generally enjoyed the way of delivering speech.
Bhaskar naidu
Course: Understanding Business Process Modeling with BPMN 2.0
I genuinely enjoyed the trainer's helping.
Urszula Kuza
Course: Tableau Advanced
I get answers on all my questions.
Natalia Gladii
Course: Data Analytics With R
I gained a good overview of the process editors, business rules and BPMS tools landscape. I highly recommend the practical BPMN for Business Analysts course, even for experienced analysts, with its excellent process scenarios and modeling practice it will position you a cut above the rest!.
Anees Baig
Course: BPMN 2.0 for Business Analysts
Very informative and gave a nice overall summary of the course outline.
Matthew Steptoe
Course: Contemporary Development Principles and Practices
I enjoyed all of Day 1.
Peter Mahaffey
Course: Contemporary Development Principles and Practices
I liked the exercises as it's the only way to learn, by repetition.
David Rushe
Course: Tableau Advanced
I enjoyed the exercises, The training room, Tea kitchen.
Alisher Khaydarov
Course: BPMN 2 Fundamentals and Workshop
The pace and progression was perfect to really understand things quickly.
Stephen Brewell
Course: BPMN 2.0 for Business Analysts
The examples given really helped me to understand some concepts. The trainer made sure that we were following the whole training and didn't hesitate to come back to a previous point of there was any doubt. The trainer adapted the training to our needs, giving focus to the items we would like to have more details. Practical exercises were good too.
Amanda Moscardini - Campinas Valley
Course: Understanding Business Process Modeling with BPMN 2.0
Debra made sure to understand my questions and answered them precisely. The suggestions on how to design diagrams under certain conditions were really good. I would like to reinforce how professional and efficient Debra was with us.
Leandro Antonio
Course: Understanding Business Process Modeling with BPMN 2.0
I like the exercises done.
Nour Assaf
Course: Data Mining and Analysis
The hands-on exercise and the trainer capacity to explain complex topics in simple terms.
youssef chamoun
Course: Data Mining and Analysis
The information given was interesting and the best part was towards the end when we were provided with Data from Durex and worked on Data we are familiar with and perform operations to get results.
Jessica Chaar
Course: Data Mining and Analysis
I thought that the information was interesting.
Allison May
Course: Data Visualization
I really appreciated that Jeff utilized data and examples that were applicable to education data. He made it interesting and interactive.
Carol Wells Bazzichi
Course: Data Visualization
Learning about all the chart types and what they are used for. Learning the value of cluttering. Learning about the methods to show time data.
Susan Williams
Course: Data Visualization
Trainer was enthusiastic.
Diane Lucas
Course: Data Visualization
I really liked the content / Instructor.
Craig Roberson
Course: Data Visualization
I am a hands-on learner and this was something that he did a lot of.
Lisa Comfort
Course: Data Visualization
I liked the examples.
Peter Coleman
Course: Data Visualization
I liked the examples.
Peter Coleman
Course: Data Visualization
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
Course: Data Visualization
I like the way Birol customized some parts of the training catering to my role as Business Analyst. This way, he was able to focus on the topics that are important and not dwell on topics that I generally will not use in my work. He teaches very clear and ensures that you understand a topic before going to the next. You can say that he is a seasoned professor and very knowledgeable on his subject, and knows how to analyze training needs of the student to effectively cover topics which are essential and relevant. This makes his sessions very effective as it is flexible and right on target. His materials are very comprehensive and he makes a point to follow the curriculum but making it more relevant to the student. I appreciate that he knows industry standards and is able to give his insights as to what works. I've never learned as much as I did on a 2-day course and it is worth all the time and effort. The training did expedite my learning of BPMN 2.0 and gave me the basics and confidence to start practicing the technique in my work. Thank you Birol and NobleProg for a wonderful learning experience I will surely recommend the course and trainer to future colleagues.
Irma Irosido
Course: BPMN 2.0 for Business Analysts
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
I really was benefit from the interactivity and dedicated trainer.
Pierre Bruwier
Course: BPMN 2 Fundamentals and Workshop
Offering a more in-depth scope about Power BI more than any training institute that I came across to.
Mohammed Al Ameer
Course: Power BI
Fast paced - good interaction - clearly very knowledgeable trainer.
Course: Business Process Analysis with UML and BPMN
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
Exercises, additional tips from the trainer, flexibility to add more insights when requested.
Anna Alechno
Course: Power BI
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 mostly enjoyed the power BI possibility.
British American Shared Services Europe
Course: Power BI
I genuinely enjoyed the visualization part.
Alexandra Grigoriu
Course: Power BI
Good coverage of all Power BI themes relevant and useful for creating reliable dashboards and reports as a beginner.
Gabriel Purghel
Course: Power BI
I liked the focus and the emphasis on self-learning, playing and reading on external resources. No Application can be taught in 2 days and self-study is very important.
Vlad Andrei Bucur
Course: Power BI
I generally was benefit from the power bi web- Q.
Cristina Palii
Course: Power BI
Fast paced - good interaction - clearly very knowledgeable trainer.
Course: Business Process Analysis with UML and BPMN
Data Analysis Course Outlines in Indonesia
- Create and manage projects on dbt Cloud.
- Use the dbt Cloud interface to schedule and run data transformations.
- Collaborate on projects with team members.
- Deploy their dbt projects to production.
- Debug and troubleshoot dbt projects.
- Understand the fundamentals of AWS Glue.
- Set up an AWS Glue pipeline.
- Set up AWS Glue crawlers and jobs.
- Learn how to use AWS Glue transformations.
- Perform data analysis using Python, R, and SQL.
- Create insights through data visualization with Tableau.
- Make data-driven decisions for business operations.
- Learn how to analyze data using IBM Planning Analytics.
- Create custom views of the data in a database.
- Build reports and forms that communicate with TM1.
- Install and configure MongoDB for data analysis.
- Understand the concepts and stages of the MongoDB Aggregation Framework.
- Learn about the basic structure, syntax, and operations for aggregation.
- Learn how to handle advanced operations in aggregation.
- Apply some optimization tools and techniques to improve aggregation performance.
- Learn the fundamental concepts of Sisense and how it works.
- Create a Sisense dashboard to visualize big data and execute data-driven business decisions.
- Merge and manage data from multiple sources.
- Utilize Sisense for quick data manipulation and visualization.
- Have an in-depth understanding of the Tableau Server architecture.
- Understand Tableau Server processes and functions.
- User Tableau Server to automate tasks.
- Configure and manage the Tableau Server.
- Set up Tableau Server for high availability and scalability.
- Handle large data sets with sophisticated formatting tools.
- Create data visualization reports and directories.
- Use OrgPlus printing, exporting, and publishing features.
- Navigate complex charts with ease.
- Understand the basic concepts of AWS QuickSight.
- Use AWS QuickSight to create data analysis, reports, and insights.
- Use AWS to create relationships between data for enhanced analysis.
- Learn different types of visualizations in understanding data.
- Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
- Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
- Get a refresher on the fundamentals of Python and SQL.
- Perform data pre-processing techniques in Python.
- Learn how to connect Python and SQL for data analysis.
- Create insightful data visualizations and charts with Tableau.
- Fully understand the concepts and architecture of data warehousing.
- Understand how to use analytics, desktop objects, and schemas.
- Build and maintain MicroStrategy projects.
- Learn to use and configure all the tools in the developer tab.
- Design efficient workflows in Alteryx using the dynamic, validation, and testing tools.
- Learn how to use API tools to download and parse web data.
- Use Alteryx scripting tools, including Python and R.
- Learn how to use Mixpanel as a web analytics tool.
- Understand the Mixpanel concepts and implementation.
- Understand and interpret event data.
- Understand how Matomo works in analyzing web data.
- Learn how data is collected and tracked with Matomo.
- Understand and interpret Matomo reports.
- Learn and understand how the Datadog monitoring tool works.
- Understand the Datadog core concepts and features.
- Configure Datadog for infrastructure monitoring and account management.
- Use Datadog Application Performance Monitoring (APM) and continuous profiling.
- Set up and configure Databricks.
- Understand how Databricks and Apache Spark work together.
- Learn how to load and transform data in Databricks.
- Understand the fundamentals of data mining.
- Learn how to import and assess data quality with the Modeler.
- Develop, deploy, and evaluate data models efficiently.
- Course includes theoretical and practical exercises, including case discussions, sample code inspection, and hands-on implementation.
- Practice sessions will be based on pre-arranged sample data report templates. If you have specific requirements, please contact us to arrange.
- Developers
- Technical analysts
- IT consultants
- Part lecture, part discussion, exercises and heavy hands-on practice
- To request a customized training for this course, please contact us to arrange.
- Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
- Use DAX formulas in Power BI for complex calculations.
- Create and use visualizations and charts for particular analysis cases.
- Import with Power View to move from Excel based Power BI to independent Power BI.
- processing and analyzing data
- producing informative data visualizations
- forecasting future performance
- evaluating forecasts
- turning data into evidence-based business decisions
- optimizing processes
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
- Interactive lecture and discussion.
- Lots of exercises and practice.
- To request a customized training for this course, please contact us to arrange.
- 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
- Developers
- Analysts
- Quants
- Part lecture, part discussion, exercises and heavy hands-on practice
- 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.
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