
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 the US or in NobleProg corporate training centers in the US.
NobleProg -- Your Local Training Provider
Testimonials
His deep knowledge about the subject
Course: MATLAB Fundamentals, Data Science & Report Generation
very friendly and accommodating. After the first day when he realized we were more advanced he re-structured the course and customized it to our needs.
Apex Global Solutions
Course: Data Analytics Process, Cloud Solutions, and Power BI Solutions
I enjoyed that it was hands on and practical and not "Death by PowerPoint".
Ultimate Knowledge
Course: Advanced Splunk
Incorporating the data science topics.
Ultimate Knowledge
Course: Advanced Splunk
The instructor knows splunk very well.
Ultimate Knowledge
Course: Advanced Splunk
Expertize and Knowledge, especially when a question was asked of them.
Shelby Riese, WPPI Energy
Course: IBM Cognos Analytics
Learning about all the chart types and what they are used for. Learning the value of decluttering. Learning about the methods to show time data.
Susan Williams
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
I thought that the information was interesting.
Allison May
Course: Data Visualization
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
Trainer develops training based on participant's pace
Farris Chua
Course: Data Analysis in Python using Pandas and Numpy
That we have used our own data as examples
Glycom A/S
Course: Data Analysis in Python using Pandas and Numpy
customized, in-house file processing and data analysis
Glycom A/S
Course: Data Analysis in Python using Pandas and Numpy
Doing the exercises. I really enjoyed the practicals.
Warren Stephen - Quidco
Course: Elasticsearch for Developers
Marcin knew exactly what he talking about and had proper hands on in-depth experience with the tools. He had answers to all our questions and made some really strong recommendations that we could start working towards with future projects and uses.
Conor Glasman - Quidco
Course: Elasticsearch for Developers
I thought the training was very thorough and while we covered a lot of material, Martin made ample time for questions and gave good focus to each individual and their different requirements.
Jeán Thysse - Quidco
Course: Elasticsearch for Developers
good overview, good balance between theory and exercises
Proximus
Course: Data Analysis with Hive/HiveQL
It was a very practical training, I liked the hands-on exercises.
Proximus
Course: Data Analysis with Hive/HiveQL
Liked very much the interactive way of learning.
Luigi Loiacono
Course: Data Analysis with Hive/HiveQL
the trainer was very good and made the training perfect for my needs
Florentin - Brenda TSATSU, EXPERIS
Course: Search and Analytics with Amazon OpenSearch
Got to know new features in OS which I wasn't aware before.
Dhivyalakshmi Ponnusamy - Mercedes-Benz AG
Course: Search and Analytics with Amazon OpenSearch
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 training materials.
Mona Dobre - Oana Panceaa, DB Global Technology
Course: SQL Advanced level for Analysts
That the trainer provide alot of materials , files and reference to return to them later once need and for self study .
Abdulrahman E. Al Qahtani, Saudi Azm for Communication and Information Technology Co
Course: SQL Advanced level for Analysts
The actual activities and good trainer.
Aisha Aina Datu, Mizuho Bank Ltd - Manila Branch
Course: Agile Business Analysis
focusing on applying the course on my real work
shahla - ECRA
Course: Introduction to Business Analysis: Defining Successful Projects
Fast and lean
Course: Business Modeling for an Agile Enterprise
Fast paced - good interaction - clearly very knowledgable trainer.
Course: Business Process Analysis with UML and BPMN
Mat was very friendly and accommodating. he explained the content well.
Rob McDonald - 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
The trainers knowledge and teaching style.
BC Pension Corporation
Course: Business Process Modelling in BPMN 2.0
interactivity and dedicated trainer
Pierre Bruwier
Course: BPMN 2 Fundamentals and Workshop
His deep knowledge about the subject
Course: MATLAB Fundamentals, Data Science & Report Generation
Fast and lean
Course: Business Modeling for an Agile Enterprise
Fast paced - good interaction - clearly very knowledgable trainer.
Course: Business Process Analysis with UML and BPMN
Data Analysis Course Outlines
- 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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