Specialising Course - Workshop Data Visualization with Tableau (Basic & Advanced) | AI & BIG DATA duration Weekend
Data Visualization is changing the way the world looks at data. Tableau, one of the fastest evolving Business Intelligence (BI) and Data Visualization tools, is perfect for developing creative and effective data visualizations for any business. In fact, it is a powerful tool that offers an expressive visualization that allows you to go beyond static graphs and to create visualizations full of charm. Visualizing data with Tableau makes your insights more compelling, and helps you communicate complex ideas in an easy way.
Main Contents
MODULE 1 | Data Visualization with Tableau - BASIC
- Data Connection: Connect to data; Know the data; Data Dictionary; Filter the Data; Live / Extracted Data; Data Type & Format; Data Type Transformations; Simple data source join.
- Introduction to Tableau: Environment; Menus. Transformations: Measures to Dimensions; Dimensions to measure; Continues and Discrete measures.
- Visualizations: Text Tables; Horizontal Bars; Pie Charts; Charts area.
- Mini project 1
- Filters: Add Filter to a Visualization; Group of Filters; Relation between Filters; Filter Customizations; Show only & Exclude.
- Sets & Groups: Create Sets / Groups; Use of Sets / Groups; Modify Sets / Groups; Pro and Cons of Sets / Groups.
- Calculated Fields: Create Calculated Fields; Syntax Calculations Fields; Conditional Data Selections; YoY Calculations.
- Advanced Data manipulations: Join; Blend.
- Dual Axes pt. 1
- Geographical Data & Visualization: Coordination; How to transform fields into geo data; Symbol Maps; Maps; Handle missing geo-data.
- Project 1
- Parameters: Create Parameters; Parameter in calculations; Parameter Control for Users; Parameter and Calculations in Visualizations.
- Visualizations: Highlight tables; Heatmaps; Stacked bars; Side-by-Side Bars; Tree maps; Circle Views; Lines; Scatter Plot; Histogram; Packed bubbles.
- Dual Axes pt.2
- Basic Data Analysis: Table calculations; Total; Forecast; Trendlines; Table Layouts.
- Mini Project 2
- Dashboards & Story: Create Dashboards / Story; Filter / Highlights multiple visualizations on dashboards; Visual design principals for effective dashboards; Visualization Format Customizations; Data Storytelling; Do and Do not in dashboard design.
- Project 2
MODULE 2 | Data Visualization with Tableau - ADVANCED
- Aggregations & Level Of details (LOD): Basic Aggregations; Row Level Expressions and View Level Expressions; Advanced Aggregations; Tableau Aggregate Functions;
- Limitations for LOD Expressions: Filters and Level Of details Expressions; Data Source Constraints for LOD Expressions.
- Advanced Visualizations: Use Different LOD in visualizations; Different level of LOD in visualizations / Dashboard;
- Mini project 3
- Advanced table calculations: Nested Table Calculations; Window Level Table Calculations.
- Analyzing Time-based Data: Time Filters; Time hierarchy; Time functions. Advanced chart types and additional plugin / Extensions for tableau
- Best Practice for Dashboard Design.
- Use chart Effectively: Same chart, so many Visualizations; Best Practice for Different types of data & information.
- Mini project 4
- Advanced Dashboard creations: Connected Dashboards; Navigations through dashboards; Top to Bottom / Bottom to Top Data-Vis Design.
- Increase Workbook Performance
- Final project.
Request a one-on-one interview to learn more about each teaching unit.
Who is this course aimed at?
The course is aimed at anyone who is passionate about the world of big data and wants to learn how to manage them. To attend this workshop no special requirements are needed.
What will you gain from this course?
At the end of this course, you will be able to connect data with sources, to organize data, to do data blending, to view data using SHOW ME and Tableau Analytics Panel, and to create Dashboards and interactive graphics. Furthermore, you will also acquire the basics of mapping and geocoding.
Diploma & Certifications
At the end of the course, you will receive a certificate of completion “GEEKS ACADEMY DIPLOMA”, a “DIPLOMA SUPPLEMENT” and the EXIN INTERNATIONAL CERTIFICATIONS included in your study plan – if you choose to sit the exam, which is not mandatory.
Career Coaching
For a period of 5 years after the conclusion of the course, you will have the chance to benefit from our Career Coaching service for free.
Over 95% of our graduates have found a job within 3 months since the end of the course!
International Experiences
To our students we offer the possibility to take part in exciting study trips in Dubai, Seoul, Milan, Rome and Singapore, where the hubs of our international network are located. These immersive experiences represent a great way to enrich students’ wealth of knowledge and increase their career opportunities.
Global Alumni Community
By joining this course, you will automatically become a member of the AGA: the Alumni Geeks Academy.
AGA is the community that gathers all our former students in order to offer them support, help them strengthen and develop professional relationships, provide them with networking opportunities and notify them about the latest job offers. The Alumni International Day represents the community’s most important international networking event, as well as a valuable opportunity to keep up-to-date with the latest trends and technologies.
Teaching Arrangements & Technical Equipment
Smart Education Formula
Course delivery mode: synchronous distance learning.
The lessons will take place on Saturday and Sunday (10:00-13:00 and 13:45-15:45 CET).
*The hours indicated are intended as academic hours of 50 minutes each.
E-learning Platform
Our flexible approach allows you to study wherever and whenever you want, even if you work and do not have much time.
All lessons are delivered Live Online by qualified teachers, and are recorded in real time to give you the opportunity to watch them asynchronously on our e-learning platform, in case you miss one lesson or you want to review some contents. Among other things, on the platform you will also find many useful materials for self-studying, such as self-assessment tests, exercises and exam simulations.
Minimum hardware requirements
Notebook: CPU dual core 64-bit on x86-64 | RAM 4GB | S.O. Microsoft Windows 8/8.1, Windows 10 (x64), macOS Mojave 10.14, macOS Catalina 10.15, macOS Big Sur 11.4+ and macOS Monterey 12.6+ (for Tableau 2022.3+). At least 1.5 GB of free disk space.
Payment Method
Payment must be issued in one single solution before the beginning of the course.
The number of places available is limited
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