
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 training can be carried out locally on customer premises in Israel or in NobleProg corporate training centers in Israel.
NobleProg -- Your Local Training Provider
Testimonials
Costas was fluid in his approach to training. He started at the why and gave really understanding and then application. He was really easy to understand and always answered questions really well.
Zara O'Gorman - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
Trainer was great and very patient with us. Anything we asked, he explained very well. He shared is VM and we were able to follow his direction on using Tableau by seeing what he was doing. it was a great help to me.
Ciera McCarron Toland - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
loved the hands on exercises and that the trainer walked us through how to do them and helped anyone that was having an issue. He made excellent use of the training room functionality and actually watched everyones progress.
Jill Schmaedeke - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
The knowledge of trainor about the tool.
Kendrick Bacani - Thakral One Inc.
Course: Data analysis with Tableau
The trainer answered all of my questions and gives us a walkthrough.
Mark Xavier Rimas - AIGSS- BPI
Course: Tableau Fundamentals to Advanced
Almost every topic we had the chance to do it ourselves and that really help us learn it easier
AIGSS- BPI
Course: Tableau Fundamentals to Advanced
Plenty of exercise to do to better understand the topic.
AIGSS- BPI
Course: Tableau Fundamentals to Advanced
all the materials and how the trainer teach
Ma Rowenaliz Gayoma - JPMorgan Chase Bank, N.A – Philippine Global Service Center
Course: Tableau Advanced
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 - Julia Kuczma, DLA Piper GSC Poland Sp. z o.o.
Course: Tableau Intermediate Training Course
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
Tableau Course Outlines in Israel
- 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.
- 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.
- 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
- Highlight Tables
- Scatter Plots
- Build dashboards to share visualizations.
- 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.
- 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.
- 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.
- Build dashboards to share visualizations.
- 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.
- Explore and validate data.
- Create and publish Tableau Prep flows.
- 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
- Developers
- Data scientists
- Part lecture, part discussion, exercises and heavy hands-on practice
- 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.
- Deploying Tableau Server to cluster.
- 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.
- 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
Last Updated: