
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. Singapore onsite live Data Analysis trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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
Patience of the trainer while making sure everyone understand the lesson
Yeo Yu Xin - Ministry of Defence, Singapore
Course: Python for Data Analysis
It's very hands-on and I can follow despite the lack of calculus background.
Wei Pin Ho - Ministry of Defence, Singapore
Course: Python for Data Analysis
Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.
Charles Lim - Ministry of Defence, Singapore
Course: Python for Data Analysis
The trainer is quite experienced in this topic and can provide suggestions regarding data science project specific practices.
DBS Bank Ltd
Course: Design Patterns
The trainer was well prepared, communicated clearly and explained things well.
DBS Bank Ltd
Course: Design Patterns
I like the simple but informative example codes.
Yue Wang - DBS Bank Ltd
Course: Design Patterns
Good exercises
Hui Yi Neo - Titansoft Pte Ltd
Course: Object Oriented Design using Design Patterns
The hands on practices.
Titansoft Pte Ltd
Course: Object Oriented Design using Design Patterns
Statistics and Array manipulation, Khobeib was able to spend time working through specific analytical questions with us and demonstrate custom calculations and solutions to our questions. Khobeib was also able to adjust the training to our pace and level of understanding. Having worked with data for some time some of the intermediate level core subjects were not required. To his credit Khobeib took this on board and moved through the contents at a speed relevant to our knowledge and understanding.
Department of Home Affairs
Course: Tableau Intermediate Training Course
Present the subject matter in direct and straightforward matters.
Clive Low
Course: Alteryx for Developers
That it was quite interactive and there were multiple exercises to practice
John Kim - UBS AG
Course: Data Preparation with Alteryx
Easy to follow through
Ta Wei Koh - UBS AG
Course: Data Preparation with Alteryx
The virtual pc setup and connection
Jack Chang - UBS AG
Course: Data Preparation with Alteryx
Hands-on exercises
Zarawati Muhamad Rasid, Pernec Integrated Network Systems Sdn Bhd
Course: Monitoring with Grafana
i ike the exercises the most. I can experience on hands on the system the trainers in explaning
Norasniza Sailan - Zarawati Muhamad Rasid, Pernec Integrated Network Systems Sdn Bhd
Course: Monitoring with Grafana
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Koh Ze Xian, Boskalis Singapore Pte Ltd
Course: QGIS for Geographic Information System
Focus in the details
Koh Ze Xian, Boskalis Singapore Pte Ltd
Course: QGIS for Geographic Information System
Overview of Nagios and seeing its potential
Penten Pty Ltd
Course: Nagios XI Administration
Knowledge of the product was very good
Penten Pty Ltd
Course: Nagios XI Administration
Jorge was a very engaging lecturer and provided the training in a (generally) easy to understand way.
Penten Pty Ltd
Course: Nagios XI Administration
Overall the Content was good.
Sameer Rohadia
Course: A practical introduction to Data Analysis and Big Data
presentation of technologies
Continental AG / Abteilung: CF IT Finance
Course: A practical introduction to Data Analysis and Big Data
Willingness to share more
Balaram Chandra Paul
Course: A practical introduction to Data Analysis and Big Data
The way the trainer made complex subjects easy to understand.
Adam Drewry
Course: Data and Analytics - from the ground up
learning how to use excel properly
Torin Mitchell
Course: Data and Analytics - from the ground up
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Kamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
Course: Data and Analytics - from the ground up
Exercises on time series modeling
Teleperformance
Course: Data Analytics With R
I get answers on all my questions.
Natalia Gladii
Course: Data Analytics With R
Data Analysis Course Outlines in Singapore
- 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.
- Learn how Python can be integrated into Power BI for data analysis.
- Use Python scripts to load, clean, and preprocess data within the Power BI environment.
- Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
- Acquire advanced data analysis skills using Python.
- 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.
- Navigate and utilize the Oracle BI interface effectively.
- Create and customize reports and dashboards tailored to business needs.
- Conduct ad-hoc analysis using various BI tools.
- Utilize advanced features for comprehensive data exploration.
- Perform data analysis using Python, R, and SQL.
- Create insights through data visualization with Tableau.
- Make data-driven decisions for business operations.
- Navigate and utilize the SAS BI interface effectively.
- Create customized reports and dashboards tailored to business needs.
- Conduct ad-hoc analysis using various BI tools.
- Leverage advanced features for comprehensive data exploration.
- 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.
- Navigate and use the SAP BusinessObjects BI interface.
- Create and customize business reports and dashboards.
- Perform ad-hoc analysis using various BI tools.
- Utilize advanced features for in-depth data exploration.
- Gain a thorough knowledge of Nagios, including installation, configuration, and administration.
- Use Nagios to monitor networks, servers, and applications.
- Implement advanced monitoring techniques for diverse IT environments, including cloud and virtualized infrastructures.
- Configure alerts, manage notifications and generate reports to ensure proactive network management.
- Take the Nagios Certified Administrator exam with confidence.
- Understand the concept and importance of Analytic Functions.
- Apply various Analytic Functions to solve complex analytical problems.
- Combine Analytic Functions with other SQL features for comprehensive data analysis.
- Optimize queries for better performance using Analytic Functions.
- 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.
- Create and customize Grafana dashboards with different visualizations.
- Implement alerting and notifications for monitoring.
- Administer user accounts, teams, and permissions.
- Manage IT assets effectively, including hardware and software inventory.
- Implement a helpdesk system for user support and ticket management.
- Gain a solid foundation in both Nagios XI and Nagios Core, including their architecture and key components.
- Monitor hosts, services, and network components effectively using Nagios.
- Using Nagios for data visualization, dashboards, and reporting.
- Take the Nagios Certified Professional exam with confidence.
- 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.
- Understand the differences and enhancements in Cognos 11 compared to Cognos 10.
- Utilize the improved data module and data management features for more efficient data handling.
- Implement best practices for a smooth transition and optimal use of Cognos 11.
- 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.
- Understand the fundamentals of ArcMap and ArcGIS.
- Collect, organize, manage, and analyze geographic information on the social and archaeological elements.
- Conduct spatial queries for impact evaluation.
- 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.
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