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 Austin or in NobleProg corporate training centers in Austin.
NobleProg -- Your Local Training Provider
Austin, TX – Regus at Dobie Center
2021 Guadalupe Street, Suite 260, Austin, United States, 78705
The venue is located in the vibrant West Campus neighborhood near the University of Texas at the Dobie Center, easily reachable by car via I‑35 or I‑35 Frontage Road and Loop 1, with on-site and street parking nearby. From Austin–Bergstrom International Airport (AUS), about 11 miles southeast, a taxi or rideshare takes around 20–25 minutes via TX‑71 West and I‑35 North. Public transit users can take Capital Metro routes to the University of Texas/Dobie Mall stop directly in front of the building, placing it within a short walk for attendees without cars.
Austin, TX - Regus - Littlefield Congress
106 E 6th St, Austin, United States, 78701
The venue is conveniently situated near I‑35 and US‑183, making it easily accessible by car, with both public and garage parking options—such as the Littlefield Garage at 508 Brazos—located within walking distance. For those using public transportation, the venue is just a short walk from the Downtown Station (CapMetro) and is served by several bus routes. Travelers arriving by air will find that Austin-Bergstrom International Airport is approximately 8 miles away, providing straightforward access to and from the venue.
This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.
By the end of this training, participants will be able to:
Set up a big data environment using Google Colab and Spark.
Process and analyze large datasets efficiently with Apache Spark.
Visualize big data in a collaborative environment.
Stratio is a data-centric platform that integrates big data, AI, and governance into a single solution. Its Rocket and Intelligence modules enable rapid data exploration, transformation, and advanced analytics in enterprise environments.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to use the Rocket and Intelligence modules in Stratio effectively with PySpark, focusing on looping structures, user-defined functions, and advanced data logic.
By the end of this training, participants will be able to:
Navigate and work within the Stratio platform using Rocket and Intelligence modules.
Apply PySpark in the context of data ingestion, transformation, and analysis.
Use loops and conditional logic to control data workflows and feature engineering tasks.
Create and manage user-defined functions (UDFs) for reusable data operations in PySpark.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Making Data-Informed Decisions is the practice of integrating relevant data, evidence, and analysis into the decision-making process to improve public sector outcomes and accountability.
This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in using data for decision-making who design, evaluate, or manage government programs and wish to enhance their ability to interpret, validate, and apply data to real-world decisions.
By the end of this training, participants will be able to:
Understand what it means to be data-informed (versus data-driven or intuition-based).
Identify and assess data relevant to a policy or service context.
Ask better questions of data analysts and interpret dashboards and reports effectively.
Apply data to justify, refine, or defend decisions in public service contexts.
Format of the Course
Interactive lecture and discussion.
Hands-on use of decision scenarios, data sets, and mock policy briefs.
Guided exercises focused on practical decision-making use cases.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level data professionals who wish to apply time series forecasting techniques to real-world data using Google Colab.
By the end of this training, participants will be able to:
Understand the fundamentals of time series analysis.
Use Google Colab to work with time series data.
Apply ARIMA models to forecast data trends.
Utilize Facebook’s Prophet library for flexible forecasting.
Visualize time series data and forecasting results.
Digital Intelligence is the ability to understand and leverage digital tools, data, and systems to make informed decisions in the context of public service delivery and governance.
This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in digital intelligence who work with data, digital tools, or service performance metrics and wish to strengthen their ability to analyze, interpret, and apply information for better decision-making.
By the end of this training, participants will be able to:
Understand the foundations of digital intelligence and how it applies to public sector work.
Use digital tools to collect, visualize, and communicate actionable insights.
Assess the digital maturity of their own team or department.
Build a roadmap for enhancing digital capacity and data-driven practices.
Format of the Course
Interactive lecture and discussion.
Hands-on use of digital tools and dashboard mockups.
Guided exercises focused on real-world public service use cases.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
Storytelling with Data is the practice of using visual and narrative techniques to transform complex datasets into clear, compelling stories that inform and inspire action.
This instructor-led, live training (online or onsite) is aimed at public sector professionals who work with data and have limited or informal training in data storytelling, and who wish to enhance their ability to present data clearly and persuasively through narrative and visuals.
By the end of this training, participants will be able to:
Transform raw data into impactful visual stories.
Use chart selection and layout to support key messages.
Structure data narratives that align with audience needs.
Apply best practices for visual clarity and cognitive impact.
Format of the Course
Interactive lecture and discussion.
Hands-on use of storytelling techniques in data presentations.
Guided exercises focused on clarity, visual flow, and audience impact.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
Participants who complete this instructor-led, live training in Austin will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.
Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.
The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.
ArcGIS Professional Plus is an advanced version of ArcGIS Pro, offering extended features for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.
This instructor-led, live training (online or onsite) is aimed at intermediate-level GIS professionals who wish to deepen their skills in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.
By the end of this training, participants will be able to:
Leverage ArcGIS Pro Plus tools for data visualization and analysis.
Create 2D and 3D maps with advanced symbology and geoprocessing techniques.
Automate workflows using ModelBuilder and Python scripting.
Integrate ArcGIS with external data services and enterprise systems.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.
By the end of this training, participants will be able to:
Navigate and utilize ArcGIS tools for geospatial data management.
Create and customize maps with layers and attributes.
Perform advanced spatial analysis and geoprocessing tasks.
This instructor-led, live training in Austin (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:
This instructor-led, live training in Austin (online or onsite) is aimed at advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios.
By the end of this training, participants will be able to:
Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
Utilize Python scripting for automation and complex data processing.
Apply spatial modeling for problem-solving in real-world scenarios.
Conduct geostatistical analysis for advanced data interpretation.
Integrate external data sources and leverage 3D spatial data analysis.
This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.
By the end of this training, participants will be able to:
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level IT support personnel who wish to provide robust support for ArcGIS Enterprise, addressing any anomalies or failures effectively.
By the end of this training, participants will be able to:
Understand the architecture and components of ArcGIS Enterprise.
Learn to install, configure, and manage ArcGIS Enterprise.
Gain skills in troubleshooting and resolving common issues.
Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
Master the techniques for backup, recovery, and performance optimization.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.
By the end of this training, participants will be able to:
Understand the core concepts, architecture, and components of Azure Synapse Analytics.
Create, configure, and manage scalable data warehouses using Azure Synapse.
Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.
By the end of this training, participants will be able to:
Understand the basic concepts of GIS and spatial data.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level big data professionals who wish to utilize Apache Kylin for building real-time data warehouses and performing multidimensional analysis on large-scale datasets.
By the end of this training, participants will be able to:
Set up and configure Apache Kylin with real-time streaming data sources.
Design and build OLAP cubes for both batch and streaming data.
Perform complex queries with sub-second latency using Kylin's SQL interface.
Integrate Kylin with BI tools for interactive data visualization.
Optimize performance and manage resources effectively in Kylin.
Participants who complete this instructor-led, live training in Austin will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.
Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.
The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.
R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students. It covers language fundamentals, libraries and advanced concepts. Advanced data analytics and graphing with real world data.
Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel.
Course Objectives
This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research.
This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.
Participants who complete this training will gain a practical, real-world understanding of Data Science and its related technologies, methodologies and tools.
Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.
The course starts with an introduction to elemental concepts of Data Science, then progresses into the tools and methodologies used in Data Science.
Audience
Developers
Technical analysts
IT consultants
Format of the Course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions:
What has happened?
processing and analyzing data
producing informative data visualizations
What will happen?
forecasting future performance
evaluating forecasts
What should happen?
turning data into evidence-based business decisions
optimizing processes
The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.
By the end of this training, participants will be able to:
Set up a development environment that includes Python, Pandas, and NumPy.
Create a data analysis application using Pandas and NumPy.
Perform advanced data wrangling, sorting, and filtering operations.
Conduct aggregate operations and analyze time series data.
Visualize data using Matplotlib and other visualization libraries.
This instructor-led, live training (online or onsite) is aimed at HR professionals and recruitment specialists who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at HR professionals who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Dremio is an open-source "self-service data platform" that accelerates the querying of different types of data sources. Dremio integrates with relational databases, Apache Hadoop, MongoDB, Amazon S3, ElasticSearch, and other data sources. It supports SQL and provides a web UI for building queries.
In this instructor-led, live training, participants will learn how to install, configure and use Dremio as a unifying layer for data analysis tools and the underlying data repositories.
By the end of this training, participants will be able to:
Install and configure Dremio
Execute queries against multiple data sources, regardless of location, size, or structure
Integrate Dremio with BI and data sources such as Tableau and Elasticsearch
Audience
Data scientists
Business analysts
Data engineers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Notes
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Austin (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions.
By the end of this training, participants will be able to:
Install and configure Cloud Pak for Data.
Unify the collection, organization and analysis of data.
Integrate Cloud Pak for Data with a variety of services to solve common business problems.
Implement workflows for collaborating with team members on the development of an AI solution.
In this instructor-led, live training in Austin, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.
Format of the Course Interactive lecture and discussion. Lots of exercises and practice. Hands-on implementation in a live-lab environment.
This instructor-led, live training in Austin (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.
By the end of this training, participants will be able to:
Install and configure Power BI.
Evaluate the various data solutions offered by cloud providers such as Azure.
Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
Apply tools and techniques to clean data in preparation for analysis.
Build reporting and analytics solutions based on on-premise as well as cloud data.
Integrate data analytics solutions with a data warehouse.
Mitigate data security risks and ensure data privacy.
This instructor-led, live training in Austin (online or onsite) is aimed at developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system.
By the end of this training, participants will be able to:
Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.
This instructor-led, live training in Austin (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..
By the end of this training, participants will be able to:
Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
Analyze data from sources such as Excel, CSV, JSON files and databases.
Clean data to improve its usefulness before analyzing it.
Perform simple statistical analysis.
Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
Gain valuable insight from data, including trends in performance, problematic areas.
This instructor-led, live training (online or onsite) is aimed at software developers, managers, and business analyst who wish to use big data systems to store and retrieve large amounts of data.
By the end of this training, participants will be able to:
Query large amounts of data efficiently.
Understand how Big Data system store and retrieve data
Use the latest big data systems available
Wrangle data from data systems into reporting systems
Learn to write SQL queries in:
MySQL
Postgres
Hive Query Language (HiveQL/HQL)
Redshift
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Austin (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.
By the end of this training, participants will be able to:
Set up the environment to start building big data processing with Dask and Python.
Explore the features, libraries, tools, and APIs available in Dask.
Understand how Dask accelerates parallel computing in Python.
Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
Optimize the Dask environment to maintain high performance in handling large datasets.
The aim of this course is to provide a clear understanding of the use of SQL for different
databases (Oracle, SQL Server, MS Access...). Understanding of analytic functions and the
way how to join different tables in a database will help delegates to move data analysis
operations to the database side, instead of doing this in MS Excel application. This can also
help in creating any IT system, which uses any relational database.
This instructor-led, live training in Austin (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.
By the end of this training, participants will be able to:
Share visualizations among different team members.
Secure access to software based on roles and access controls.
Create visualizations such as map charts.
Integrate statistical computing languages such as R with Spotfire.
This instructor-led, live training in Austin (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.
By the end of this training, participants will be able to:
Output spatial data as visualizations.
Conduct geostatics on actual data.
Implement spatial data analysis, data processing, and mapping with ArcGIS.
Insurtech (a.k.a Digital Insurance) refers to the convergence of insurance + new technologies. In the field of Insurtech "digital insurers" apply technology innovations to their business and operating models in order to reduce costs, improve the customer experience and enhance the agility of their operations.
In this instructor-led training, participants will gain an understanding of the technologies, methods and mindset needed to bring about a digital transformation within their organizations and in the industry at large. The training is aimed at managers who need to gain a big picture understanding, break down the hype and jargon, and take the first steps in establishing an Insurtech strategy.
By the end of this training, participants will be able to:
Discuss Insurtech and all its component parts intelligently and systematically
Identify and demystify the role of each key technology within Insurtech.
Draft a general strategy for implementing Insurtech within their organization
Audience
Insurers
Technologists within the insurance industry
Insurance stakeholders
Consultants and business analysts
Format of the course
Part lecture, part discussion, exercises and case study group activities
This instructor-led, live training in Austin (online or onsite) is aimed at data analysts who wish to use LibreOffice Calc to conduct many forms of data analysis (from basic to advanced), leveraging similar functionalities found in Excel and other spreadsheet software.
By the end of this training, participants will be able to:
Install the LibreOffice suite on any operating system.
Understand the full features and functionalities available in LibreOffice Calc.
Learn how to clean, validate, manipulate, and visualize data in Calc.
Apply the various functions and tools in Calc to perform complex data analysis.
Gain some tips and insights on conducting advanced data analysis.
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.
QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD.
This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.
This instructor-led, live training in Austin (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.
By the end of this training, participants will be able to:
This instructor-led, live training in Austin (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.
By the end of this training, participants will be able to:
Install and configure TIBCO Spotfire X.
Understand the features and architecture of TIBCO Spotfire X.
Understand the concepts behind augmented and predictive analytics.
Learn how to load, process, and visualize data using Spotfire X.
Create interactive and enhanced data visualizations.
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Testimonials (25)
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
Exercise penggunaan AI dalam pekerjaan sehari-hari
Rahmad Sanjaya - Lembaga Penjamin Simpanan
Course - Big Data and AI in Connection to Bank Examination Process
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
I thought the trainer was really engaging and was very quick on his feet to answer questions that were related to our work and really tailored the teaching towards our needs and went above and beyond to meet them. I could not recommend Shaun enough!
Tom King - Complete Coherence
Course - Microsoft Power Platform Fundamentals
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach.
Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
Gunnar created a great rapport with the audience and was quick to identify our needs. He was engaging and highly knowledgeable throughout and we enjoyed his humour.
Kurt - Complete Coherence
Course - SQL For Data Science and Data Analysis
The content itself is fine.
JONATHAN FLETCHER - Comision para el Mercado Financiero
Course - Microsoft Purview: Data Governance and Compliance
Machine Translated
Lab exercise
Tse Kiat - ST Engineering Training & Simulation Systems Pte. Ltd.
Course - Automated Monitoring with Zabbix
The ability of the trainer to align the course with the requirements of the organization other than just providing the course for the sake of delivering it.
Masilonyane - Revenue Services Lesotho
Course - Big Data Business Intelligence for Govt. Agencies
The content was tough but that extra effort I had to put helped me remember and understand power BI better.
Melvin - TLI Group
Course - Power BI DAX Fundamentals
The energy, knowledge and style of teaching of the trainer
Ioana - MOLSONCOORS GLOBAL BUSINESS SERVICES SRL
Course - From Tableau Beginners to Advanced User
The course material was commendable, featuring insightful overviews of Linux and Superset. While the Python component was comprehensive, it demanded a substantial coding proficiency
EMMANUEL MFANA KUNENE - Palladium Group
Course - Apache Superset for Administrators
Practical exercises. Q&A session at the end regarding how this can be applied in our organization.
Franciszek - Bank Millennium S.A.
Course - Business Analysis, BABOK V3.0 and IIBA Certification Preparation
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
All the topics it covers, although many were very quick, give us an idea of what we will need to delve into. I also liked that we were able to do internships, although I insist, I think the course deserves more.
Sandra Mariela Lopez Bernal - Kueski
Course - Databricks
Machine Translated
lots of pratical exercises
Marcin - Narodowy Bank Polski
Course - Splunk Data Administration
Discussing about our issues
Rr Dwi Putri Periska Sari - PT. Becton Dickinson Indonesia
Course - Power BI for Developers
Without a doubt, learn the general environment of and put the tool into practice Apache Superset.
Saul - N/A
Machine Translated
Data management, reporting and statistics concepts.
Dumisani - Interfront SOC Ltd
Course - Stata: Beginner to Advanced
The training materials.
Mona Dobre - DB Global Technology
Course - SQL Advanced level for Analysts
It was insightful and I gained a lot of data analysis skills
Mamonyane Taoana - Road Safety Department
Course - Data Cleaning
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.
Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.
Course - Tableau Intermediate Training Course
sharing experiences and sharing other materials not included in the package.
BRYAN SANTOS - Mizuho Bank Ltd - Manila Branch
Course - Agile Business Analysis
What I liked the most was the coach's openness regarding the change in content as well as the approach that was previously prepared to accommodate our real needs
Ernesto Sitoe Junior - Electricidade de Mocambique
Course - Advanced Power BI
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
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