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Data Visualization with D3.js

3 Review(s) | Add Your Review

Creating data-driven visualizations and infographics that run on multiple devices responsively is a tough challenge. The D3.js library has revolutionized visualization by making it easier to parse your data and add meaningful interactivity. All you need to bring your data to life is D3, plus a bit of HTML, CSS, and JavaScript, and some SVG graphics. In this course, the trainer will show you how the D3 library works, and how you can use it to parse data from different sources and create interactive, visually exciting infographics and visualizations. 

Topics include:

  • What is D3.js?
  • Creating a basic document structure
  • Controlling HTML DOM elements
  • Binding data to the DOM
  • Drawing SVG graphics with D3
  • Using ordinal scales
  • Adding events and transitions
  • Working with data

 

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M335

Course Booking

MYR880.00

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Course Information

  • Trainers: Dr. Aanand Verma
  • Session (days): 1
  • Duration (hrs): 7.5
  • Level: Intermediate
  • Additional Note: Students need to bring their own laptops
  • Venue: Unit 32-BC-2, 32-BC-19, Level 32, Q Sentral, Jalan Stesen Sentral 2, Kuala Lumpur Sentral, 50470 Kuala Lumpur

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


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Course Details

Module 1. Get Started

  • What is D3.js?
  • Downloading and installing D3
  • First D3 code


Module 2. Basics of D3.js

  • Selecting Elements
  • Controlling HTML
  • Modifying Attributes
  • Modifying CSS
  • Data Binding

Module 3. Basic SVG Graphics

  • SVG Canvas
  • Basic SVG Shapes


Module 4. Advanced SVG Graphics

  • SVG Path & Generators
  • Grouping
  • Transform

Module 5. Scales & Axes

  • Scales
  • Linear Scale
  • Axis
  • Parse Date
  • Time Scale
  • Ordinal Scale

Module 6. Importing Data into D3

  • Import CSV
  • Import TSV
  • Import JSON

Module 7. Events & Transitions

  • Events
  • Transitions

Who Should Attend

  • Data analysts that want to use D3.js for data visualization
  • Marketers who plan to use D3.js for data visualization

Prerequisite

Basic knowledge of HTML, CSS and Javascript are assumed

Trainers

Data Science TrainerDr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Machine Learning TrainerAmir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator

www.kronologimalaysia.com and www.diezeitachse.de

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

Customer Reviews (3)

Will RecommendReview by NURLIYANA BINTI MUTY
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good (Posted on 12/18/2017)
Will RecommendReview by Fatin Nabihah Firdaus
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Nil (Posted on 12/18/2017)
Will RecommendReview by Chong Kah Shiu
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
We are happy with the training. 4 out of 5 stars! (Posted on 12/13/2016)

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About Tertiary Courses Malaysia

Tertiary Courses Malaysia, a subsidiary of Tertiary Infotech Sdn. Bhd. (Company Reg #: 1187680-U) was founded in Jun 2016. We are a HDRF approved training provider in Malaysia. We provide high quality classroom instructor-led adult learning trainings to professionals, executives, students in Malaysia. We provide professional adult trainings in various industries such as Infocomm, Digital Media, Robotics,Telecommunication, Life Science, Semiconductor, Horticulture and Business Administration. The standard of trainings depends on the quality of trainers. Therefore, we strive to ensure high training standard through sourcing for qualified and experienced trainers.

Malaysia Training Locations
1

Kuala Lumpur.

2

Penang

3

Jobor

4

Sarawak

Regional Training Centers
1

Singapore

2

Malaysia

Contact Us Information

Call Us at
+60 3-2711 7241

SMS Us at
012 202 3249

Email Us at
malaysiacourses@tertiaryinfotech.com

Visit Our Training Center at
Unit 32-BC-2, 32-BC-19, Level 32, Q Sentral, Jalan Stesen Sentral 2, Kuala Lumpur Sentral, 50470 Kuala Lumpur

Management Office/Mailing Address: Level 29, Tower A, Vertical Business Suite, Avenue 3, Bangsar South, No.8, Jalan Kerinchi Malaysia 59200 Kuala Lumpur

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