Data Visualization for Business Intelligence

Track: Enterprise Data Practitioner (EDP)

Get started with Data Visualization through a simple BI tool. Data Visualization will teach participants the foundations of data visualization through the use of a popular BI tool, Tableau. Participants will learn how to create basic visualizations and even perform simple data analytics through Tableau’s Interface.

Duration: 1 day
Fee: RM750
Start Date: 9 May 2019

Data Visualization Made Simple

Data Visualization will teach participants the foundations of data visualization through the use of a popular BI tool, Tableau. Participants will learn how to create basic visualizations and even perform simple data analytics through Tableau’s Interface.

Learning outcome:

Upon completion, participants should be able to demonstrate each of the following;

Learn essentials of Tableau to create descriptive analytic charts
Unlock analytics capabilities through expert-level visualization techniques
Design dashboards for different audiences and purposes: exploration, reporting

Who should attend:

Professionals that explore Data

1 day of in depth learning

Face to face with experienced Data Scientist.

Course Methodology

This course will utilize a combination of Lectures and Presentations..

CADS Certification

Earn certification upon completion.

Pre-requisite:
N/A

Minimum Qualification:
Undergraduate Degree

Training Track

Enterprise Data Practitioner (EDP)

Data Visualization for Business Intelligence is one of the modules under our Enterprise Data Practitioner (EDP) programme. EDP is a nine-day training program that super- charges Business Intelligence analysts with new skills to analyse and communicate insights effectively.

Details of Subject

Tableau User Interface – Learn the essentials to use Tableau and unlock quicker insights from data.
- Data Types
- Dimensions / Measures
- Hierarchy
- Marks Shelf
- Experiment Time
Creating Basic Charts – Charts help people digest large quantities of data faster to make critical decisions.
- Bar Chart
- Line Chart
- Pie Charts
- Heatmaps
- Exercise 1
Advanced Chart Tools – Develop a higher level of actionable insight through advanced visualizations.
- Filters
- Sorting
- Labels
- Tooltips
- Annotations
- Highlights
- Calculated Fields
- Reference Lines
- Trend Lines
- Exercise 2
Dashboarding – Enable entire teams to work with data and find creative insights through the unified view dashboards provide.
- Building a dashboard
- Adding interactivity with Actions
- Dashboard formatting
- Story Points

Lead Instructor

Darren Chong

Darren is an MSc. Management graduate with Distinction from Warwick Business School transitioning into Data Science from the world of business. His prior work experience spans a broad range of industries including management consulting, education and public relations. At the Center of Applied Data Science, Darren helps organizations unlock latent value hidden in their data by generating and communicating actionable insights to decision-makers. As a trainer, Darren uses his business management background to provide business context to theoretical concepts covered in class. He provides training in Functional Programming and Machine Learning but mainly specializes in Data Visualization & Storytelling.

CADS Certification

EDP CADS Certified Data Vizualization & Storytelling

This exam certifies job-ready knowledge and skill. Those that pass are recognized as being able to distill an insight from data and communicate its value to a decision maker. Enter the world of Data Professionals.

Hear from Our Alumni

The training has benefited me a lot with the skills required to be a data analyst and has upskilled me in data analysis. What I like about the program is where real life problems in the office is used as the materials during the trainings which provides more understanding of the topics. Eventually, it has broaden up my market in the career development.

The program started by setting an expectation on Day 1, that it is not a Read-And-Pass syllabus. The beauty of this program is that it requires the trainees to get their hands dirty and do the actual work throughout the course. It is indeed very different from a lot of programs in the market which just produces a certificate in the end without the trainee actually able to do some real stuff. The course is definitely benefiting anyone who really want to do Machine Learning and Data Science, by creating talents who are able to connect human thought with the machine algorithm, being the bridge within the corporate, into the digital worlds.

The training was beneficial as it trains myself to think from another perspective - one that may not be new, but wasn't practiced as often as I'd like. It was fun and interactive thanks to the facilitator, Jay, too. He was very helpful to answer any questions the attendees have. Believe that this training gives the attendees an extra edge by giving them the knowledge and perspective on how to better utilize data to what they want/need to do - for the organization, the business, and even for personal use, of which I believe will bring myself further in my career.

The training has been an eye opener for me. As someone who is not of programming background, it introduces me to the possibilities of what data can do. It has also helped me bridge the difference in thinking between the Business Team and the Data Science Team. Had a great time learning!

This training enhance on my skill of analyzing of using another tools of programming instead of excel and how to model and visualized our data in a better way instead of our traditional way. Especially when involve with a large scale of data. If using excel, there will a lot of time consuming there instead of R. For me, in market nowadays of big data, this course will brings more value and create another point of view on how to visualize our data especially in making any decision. And of course will enhance our career development.

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Data Visualization for Business Intelligence

Data Visualization for Business Intelligence

Data Visualization Made Simple

Learning outcome: