
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 the Philippines can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
The tool was interesting and I see the use. I would like to learn about more about it.
Teleperformance
Course: Data Analytics With R
new tool which is "R" and I find it interesting to know the existence of such tool for data analysis
Michael Lopez - Teleperformance
Course: Data Analytics With R
Exercises on time series modeling
Teleperformance
Course: Data Analytics With R
The DevOps tool
Jeremie Mandap - Aisha Aina Datu, Mizuho Bank Ltd - Manila Branch
Course: Agile Business Analysis
The introduction of agile tools and methodology.
Aisha Aina Datu, Mizuho Bank Ltd - Manila Branch
Course: Agile Business Analysis
sharing experiences and sharing other materials not included in the package.
BRYAN SANTOS - Aisha Aina Datu, Mizuho Bank Ltd - Manila Branch
Course: Agile Business Analysis
The actual activities and good trainer.
Aisha Aina Datu, Mizuho Bank Ltd - Manila Branch
Course: Agile Business Analysis
The way he sure that each trainee understand each process.
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 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
Training exercises and hands on practice.
Thakral One Inc.
Course: Data analysis with Tableau
The knowledge of trainor about the tool.
Kendrick Bacani - Thakral One Inc.
Course: Data analysis with Tableau
The learnings on parameters are great
JPMorgan Chase Bank, N.A – Philippine Global Service Center
Course: Tableau Advanced
all the materials and how the trainer teach
Ma Rowenaliz Gayoma - JPMorgan Chase Bank, N.A – Philippine Global Service Center
Course: Tableau Advanced
The trainer answered all of my questions and gives us a walkthrough.
Mark Xavier Rimas - AIGSS- BPI
Course: Tableau Fundamentals to Advanced
Almost every topic we had the chance to do it ourselves and that really help us learn it easier
AIGSS- BPI
Course: Tableau Fundamentals to Advanced
Plenty of exercise to do to better understand the topic.
AIGSS- BPI
Course: Tableau Fundamentals to Advanced
The trainer's confidence in answering questions or providing solutions
Cheryl De Gracia - Sykes Asia Inc.
Course: Power BI
training itself
John Denver Virtucio - Sykes Asia Inc.
Course: Power BI
I mostly enjoyed the very lively and ease.
Rey Jasper Matias - Sykes Asia, Inc.
Course: Power BI
I enjoyed the about the actual application of the lectures provided by the Jonathan.
Sykes Asia, Inc.
Course: Power BI
I like most the DAX function topic as well as the Trainer's eagerness to resolved inappropriate output, he speak based on his audience level of understanding.
Anabelle Anore - Sykes Asia, Inc.
Course: Power BI
I LIKE THE WAY HE COMMUNICATES WITH THE AUDIENCE. ALSO, HE KEEPS ON ASKING THE AUDIENCE ON THEIR EXERCISES WHICH IS GOOD. BECAUSE IT CAN CATCH THE ATTENTION OF THE AUDIENCE.
RODEL SATUITO - Asiagate Networks, Inc.
Course: JasperReports
Patience of the trainer
Asiagate Networks, Inc.
Course: JasperReports
Having a new knowledge on how to make a report using new platform
Maria Dalisay Legaspi - Asiagate Networks, Inc.
Course: JasperReports
Hands on exercise and the guidance of the trainer
Jackielou Nina Dellosa - Asiagate Networks, Inc.
Course: JasperReports
He knows the subject very well
Thakral One
Course: Apache Druid for Real-Time Data Analysis
Ajay created a very helpful repository, filled with notes on processes and setups. He also goes through each of our virtual machines to make sure we are keeping up to speed, and he guides us when we're not. He is generous and helpful in training newbies like us.
Thakral One
Course: Apache Druid for Real-Time Data Analysis
Instructor provided different ways to setup druid
Thakral One
Course: Apache Druid for Real-Time Data Analysis
Detailed explanation and very approachable trainer
Thakral One
Course: Apache Druid for Real-Time Data Analysis
Availability of the tool through remote desktop for participants to have hands-on experience Right balance of lecture and exercises Trainer expertise
JPMorgan Chase Bank, N.A – Philippine Global Service Center
Course: Data Preparation with Alteryx
The trainer speaks well. I appreciate that we were able to use the tool simultaneously with the trainer. It let us learn while doing it. The sample data sheets were well thought of and prepared.
JPMorgan Chase Bank, N.A. - Philippine Global Service Center
Course: Data Preparation with Alteryx
Got to learn something new plus have access to examples for future reference
Rishab Jainani - JPMorgan Chase Bank, N.A – Philippine Global Service Center
Course: Data Preparation with Alteryx
Its various visualizations and dashboard/summary, which I believe will be very much useful in the future.
STMicroelectronics, Inc.
Course: Introduction to Spotfire
- New learning for me - Trainer is very supportive during exercises
STMicroelectronics, Inc.
Course: Introduction to Spotfire
The training has sufficient examples.
STMicroelectronics, Inc.
Course: Introduction to Spotfire
Hands-on training was managed properly. The dadesktop system is very useful since I can see the actions - performed by the instructor and performed on another attendee's desktop.
STMicroelectronics, Inc.
Course: Introduction to Spotfire
Overall, the trainer showed subject expertise. Good job Vikalp!
STMicroelectronics, Inc.
Course: Introduction to Spotfire
Actual application of spotfire and all basic functions.
Michael Capili - STMicroelectronics, Inc.
Course: Introduction to Spotfire
Data Analysis Subcategories in the Philippines
Data Analysis Course Outlines in the Philippines
- 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.
- Have a comprehensive understanding of Data Analysis Expressions (DAX) in Power BI.
- Create custom calculations and expressions in Power BI for analyzing data and deriving insights.
- Learn best practices to optimize DAX performance.
- 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.
- Gain an in-depth understanding of advanced Grafana concepts and components.
- Leverage template variables and dynamic dashboards for enhanced data visualization.
- Use Grafana Query Language for complex queries.
- Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.
- 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.
- Understand Nagios architecture, components, and advanced monitoring strategies.
- Implement advanced service monitoring and extend Nagios functionality.
- Explore Nagios add-ons and advanced techniques.
- 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
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