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 Subcategories

Data Analysis Course Outlines

Course Name

Duration

Overview

Course Name

Duration

Overview

Introduction to dbt Cloud

21 hours

This instructor-led, live training in the US (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud. By the end of this training, participants will be able to:

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.

Data Analytics with Python in Power BI

28 hours

This instructor-led, live training in the US (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively. By the end of this training, participants will be able to:

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.

AWS Glue Fundamentals

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at data engineers and analysts who wish to learn beginner to intermediate-level knowledge of using AWS Glue to set up a data pipeline. By the end of this training, participants will be able to:

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.

Oracle Business Intelligence (OBI)

28 hours

This instructor-led, live training in the US (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to leverage Oracle BI to extract valuable insights from their data. By the end of this training, participants will be able to:

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.

Data Analytics with Tableau, Python, R, and SQL

35 hours

This instructor-led, live training in the US (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis. By the end of this training, participants will be able to:

Perform data analysis using Python, R, and SQL.
Create insights through data visualization with Tableau.
Make data-driven decisions for business operations.

SAS Business Intelligence (BI)

28 hours

This instructor-led, live training in the US (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to harness the power of SAS BI to extract meaningful insights from data. By the end of this training, participants will be able to:

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.

IBM Planning Analytics (TM1)

21 hours

This instructor-led, live training in the US (online or onsite) is aimed at analysts who wish to use TM1 to analyze and customize reports and templates for data in a database. By the end of this training, participants will be able to:

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.

SAP BusinessObjects Business Intelligence (BI)

28 hours

This instructor-led, live training in the US (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to acquire essential skills in using SAP BusinessObjects BI to transform raw data into meaningful insights. By the end of this training, participants will be able to:

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.

Nagios Certified Administrator Preparation

21 hours

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level system administrators who wish to prepare for the Nagios Certified Administrator exam. By the end of this training, participants will be able to:

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.

Analytic Functions Fundamentals

21 hours

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions. By the end of this training, participants will be able to:

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.

Data Analysis with MongoDB Aggregation Framework

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines. By the end of this training, participants will be able to:

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.

Sisense Business Intelligence

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at developers and system administrators who wish to learn and use Sisense for big data manipulation and visualization. By the end of this training, participants will be able to:

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.

Tableau Server for Architects

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at intermediate to advanced-level data architects who wish to learn skills for installing, configuring, managing, and maintaining a Tableau server. By the end of this training, participants will be able to:

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.

Grafana and GLPI Administration

21 hours

This instructor-led, live training in the US (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI. By the end of this training, participants will be able to:

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.

Nagios Certified Professional Preparation

21 hours

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level system administrators who wish to prepare for the Nagios Certified Professional exam. By the end of this training, participants will be able to:

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.

OrgPlus 6

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at business professionals who wish to learn intermediate-level skills for managing organizational charts using OrgPlus 6. By the end of this training, participants will be able to:

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.

AWS QuickSight

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at data analysts or anyone who wishes to use AWS QuickSight data analysis and visualization. By the end of this training, participants will be able to:

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.

Data Analysis with SQL, Python, and Tableau

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization. By the end of this training, participants will be able to:

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.

Power BI DAX Fundamentals

21 hours

This instructor-led, live training in the US (online or onsite) is aimed at beginner to intermediate-level business analysts, data analysts, and developers who wish to learn the fundamentals of DAX in Power BI. By the end of this training, participants will be able to:

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.

MicroStrategy for Architects

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at beginner to advanced-level MicroStrategy architects who wish to develop schemas, change management, and use modeling tools to manage the development cycle of MicroStrategy apps. By the end of this training, participants will be able to:

Fully understand the concepts and architecture of data warehousing.
Understand how to use analytics, desktop objects, and schemas.
Build and maintain MicroStrategy projects.

Alteryx Advanced

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at data scientists and data analysts who wish to learn how to use each tool in the developer tool palette in Alteryx Designer. By the end of this training, participants will be able to:

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.

Cognos 11

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level data analysts who wish to understand the theoretical aspects of Cognos 11 and also learn how to use it effectively. By the end of this training, participants will be able to:

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.

Advanced Grafana

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis. By the end of this training, participants will be able to:

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.

Mixpanel

7 hours

This instructor-led, live training in the US (online or onsite) is aimed at data analysts who wish to perform product and user analysis using Mixpanel. By the end of this training, participants will be able to:

Learn how to use Mixpanel as a web analytics tool.
Understand the Mixpanel concepts and implementation.
Understand and interpret event data.

Matomo

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at analysts who wish to use Matomo to perform web analytics tasks such as generating a detailed report on the usage of a website. By the end of this training, participants will be able to:

Understand how Matomo works in analyzing web data.
Learn how data is collected and tracked with Matomo.
Understand and interpret Matomo reports.

ArcMap in ArcGIS

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for collecting, organizing, managing, and analyzing geographic information. By the end of this training, participants will be able to:

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.

Datadog Monitoring

7 hours

This instructor-led, live training in the US (online or onsite) is aimed at developers who wish to learn how Datadog works in monitoring servers, databases, and cloud-based applications and services. By the end of this training, participants will be able to:

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.

Advanced Nagios

21 hours

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level systems administrators who wish to learn and utilize the advanced features and components of Nagios for IT monitoring. By the end of this training, participants will be able to:

Understand Nagios architecture, components, and advanced monitoring strategies.
Implement advanced service monitoring and extend Nagios functionality.
Explore Nagios add-ons and advanced techniques.

Databricks

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at data scientists and developers who wish to set up, deploy, and manage data analytics solutions using Databricks. By the end of this training, participants will be able to:

Set up and configure Databricks.
Understand how Databricks and Apache Spark work together.
Learn how to load and transform data in Databricks.

SPSS Modeler

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at data analysts or anyone who wishes to use SPSS Modeler to perform data mining activities. By the end of this training, participants will be able to:

Understand the fundamentals of data mining.
Learn how to import and assess data quality with the Modeler.
Develop, deploy, and evaluate data models efficiently.

Last Updated: 2023-12-04