Online or onsite, instructor-led live Tableau training courses demonstrate through interactive discussion and hands-on practice how to use Tableau to create dashboards, worksheets and other visualizations to gain clearer insights into data.
Tableau 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 Tableau trainings in Minnesota can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
MN, Minneapolis - Fifth Street Towers
100 South Fifth Street 19th Floor, Minneapolis, united states, 55402
Fifth Street Towers is a LEED Gold, Energy Star® certified, two-tower Class A office complex conveniently located at t...
Fifth Street Towers is a LEED Gold, Energy Star® certified, two-tower Class A office complex conveniently located at the confluence of bus and light rail transit systems in downtown Minneapolis, just across the street from Soo Line Building City Apartments.
This instructor-led, live training in Minnesota (online or onsite) is aimed at intermediate-level digital forensic and cybersecurity professionals who wish to have a comprehensive understanding and practical skills in using Tableau Forensic Imager for digital forensic purposes.By the end of this training, participants will be able to:
Understand the role and importance of digital forensic imaging in investigations.
Operate Tableau Forensic Imager to acquire forensically sound images.
Apply best practices in handling and preserving digital evidence.
Navigate the software interface to configure, execute, and manage imaging tasks.
Analyze and validate forensic images to ensure integrity and admissibility in court.
This instructor-led, live training in Minnesota (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.
This instructor-led, live training in Minnesota (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.
This course teaches you about human perception and how to leverage it to deliver the best insights. You will get familiar with design theory, including Gestalt Laws, pre-attentive attributes, and inclusivity. You will also understand the similarities and differences between exploratory and explanatory analysis. You will discover the usage of the charts and learn how to choose the most suitable one. At the end of the course, you will know how to implement the design principles is visualizations created using Tableau software.
This is a Tableau user beginners course; it is intended for anyone who is looking to work with data and is designed to help you use the main functions in Tableau.
During the course you will be able to:
Connect to your data.
Edit and save a data source.
Understand Tableau terminology.
Use the Tableau interface / paradigm to effectively create powerful visualizations.
Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
Represent your data using the following visualization types:
Cross tabs
Geographic maps
Heat maps
Tree maps
Pie charts and bar charts
Dual axis and combined charts with different mark types
This instructor-led, live training in Minnesota (online or onsite) is aimed at data scientists who wish to program in R for Tableau.
By the end of this training, participants will be able to:
Implement Tableau analytics with R.
Return values to Tableau with learning algorithms in R.
Structure and visualize R functions in Tableau.
Make data driven decisions for business operations.
In this instructor-led, live training in Minnesota, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.
By the end of this training, participants will be able to:
Install and configure Tableau (Desktop, Server, Online.)
Understand the fundamentals of developing with Tableau.
Create and publish data visualizations and interactions with Tableau.
Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.
This instructor-led, live training in Minnesota (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Tableau.
By the end of this training, participants will be able to:
Connect to your data.
Edit and save a data source.
Understand Tableau terminology.
Use the Tableau interface / paradigm to effectively create powerful visualizations.
Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
Represent your data using different visualization types.
This instructor-led, live training in Minnesota (online or onsite) is aimed at data analysts who wish to prepare and shape data using Tableau Prep Builder.
By the end of this training, participants will be able to:
Install Tableau Prep.
Understand and implement a Data Science Workflow.
Read data from a variety of sources, such as Excel and databases.
Prepare, shape and sample data for analysis in Tableau Desktop.
Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.
In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.
By the end of this training, participants will be able to:
Integrate Tableau and Python using TabPy API
Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training in Minnesota (online or onsite) is aimed at system administrators who wish to set up and manage Tableau Server.
By the end of this training, participants will be able to:
Install and configure Tableau Server.
Set up users, roles and permissions to get a team up and running.
Access various data sources, manage content and access to the content by users.
Automate administrative tasks, including monitoring and log management.
This instructor-led, live training in Minnesota (online or onsite) is aimed at beginner to intermediate-level data scientists and analysts who wish to learn how to utilize Tableau tools for data visualization and analysis.
By the end of this training, participants will be able to:
Connect multiple sources of data.
Create basic data visualizations.
Use basic to advanced calculations for data analysis.
Learn best practices for using graphs and visualizations.
This course is designed for the learner who has never used Tableau before, or who may need a refresher. It will guide you through the steps necessary to create your first visualization from the beginning. You will also learn how to apply essential design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with the broader audience.
This is a compelling 4-day course for Tableau beginners. During this course, you will get familiar with all Tableau features and learn how to create and share data visualization with others. The course will guide you through all of the steps, including connecting to data, creating calculations, choosing a chart, building the dashboard, and publishing your work.
The course is divided into lectures dedicated to each topic, followed by practical exercises. The course will end with 30 minutes test and 60 minutes project assignment.
Course milestones:
Get familiar with Tableau interface.
Connect to and work with your data.
Use the Tableau features.
Build an insightful visualization.
Share your work with a broader audience.
Format of the Course:
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Knowledge test and hands-on project at the end of the course
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Testimonials (5)
No pressure on the attendance
Agata Budzynska - Tech NorthWest Skillnet
Course - Tableau Fundamentals
His patience and way of transmitting knowledge
Estefania - si
Machine Translated
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
Great knowledge of the content, good examples, great rapport with the class and very understanding if anyone needed extra help. Willing to stop and go back to explain things again and in a manner in which could be easily understood.
Martina O'Neill - Tech NorthWest Skillnet
Course - Tableau Advanced
The training is very informative and interactive in terms of the hands-on activities.
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