Data Visualization by FreeCodeCamp via Topcoder: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

We have data all around us in the world but without any shape or context, it actually has no meaning. Data visualization is such a concept that actually teaches everyone to represent different kinds of data by building maps, bars, and graphs within the D3.js library. The Data Visualization certification course has been launched by the freeCodeCamp community that is spread over just 3 modules and can be finished within 157 hours only, and teaches about the concepts of data visualization tools.

The Data Visualization training will allow the different participants to learn everything about JavaScript Object Notation aka JSON, and how exactly one can work with data in the online mode by making use of an API or Application Programming Interface.

Course and certificate fees

certificate availability

Yes

certificate providing authority

Topcoder

Who it is for

Data analyst Data scientist

This Data Visualization program is very much suitable for people like data scientists, and data analysts.

Eligibility criteria

Academic Qualifications

No particular requirement is stated to participate in this data visualization in python course.

Certification Qualifying Details

Once someone completes all the 3 modules in this course shall be issued a Data Visualization certification by Topcoder Academy.

What you will learn

Knowledge of data visualization

Once the candidates complete the Data Visualization certification syllabus, all the participating candidates will learn about JSON (JavaScript Object Notation), along with the correct usage of online data by making use of an Application Programming Interface or API.

The syllabus

Data Visualization with D3

Add Document Elements with D3
Select a Group of Elements with D3
Work with Data in D3
Work with Dynamic Data in D3
Add Inline Styling to Elements
Change Styles Based on Data
Add Classes with D3
Update the Height of an Element Dynamically
Change the Presentation of a Bar Chart
Learn About SVG in D3
Display Shaps with SVG
Create a Bar for Each Data Point in the Set
Dynamically Set the Coordinates for Each Bar
Dynavert SVG Elements
Change the Color of an SVG Element
Add Labels to D3 Elements
Style D3 Labels
Add a Hover Effect to a D3 Element
Add a Tooltip to a D3 Element
Create a Scatterplot with SVG Circles
Add Attributes to the Circle Elements
Add Labels to Scatter Plot Circles
Create a Linear Scales with D3
Set a Domain and a Range on a Scale
Use the d3.max and d3.min Functions to Find Minimum and Maximum Values in a Dataset
Use Dynamic Scales
Use a Pre-Defined Scale to Place Elements
Add Axes to a Visualization

JSON APIs and AJAX

Handle Click Events with JavaScript using the onclick property
Change Text with click Events
Get JSON with the JavaScript XMLHttpRequest Method
Get JSON with the JavaScript fetch method
Access the JSON Data from an API
Convert JSON Data to HTML
Render Images from Data Sources
Pre-filter JSON to Get the Data You Need
Get Geolocation Data to Find A User's GPS Coordinates
Post Data with the JavaScript XML HttpRequest Method

Data Visualization Projects

Visualize Data with a Bar Chart
Visualize Data with a Scatterplot Graph
Visualize Data with a Heat Map
Visualize Data with a Choropleth Map
Visualize Data with a Treemap Diagram

Admission details

To enrol in the Data Visualization classes, go through these steps:

Step 1: Visit the programme URL: https://academy.topcoder.com/freeCodeCamp/data-visualization

Step 2: Next, sign up with accounts like Google or Github.

Step 3: As soon as the candidates have logged in, learning can start.

Filling the form

While joining Topcoder, an application form has to be completed by the learners. The form has small details to be filled in like country of residence, email id, full name, and a username that will allow logging in.

How it helps

The Data Visualization certification benefits all participants while helping them showcase their skills related to using online data usage by learning to build graphs, bars, and chargers for graphical representations.

FAQs

Are there any prerequisites for the Data Visualization online course?

Anyone having no knowledge about data science can learn this programme.

How many hours of studying has to be completed for learning the course?

The course can get over within just 157 hours.

Who is the creator that has helped in curating this programme?

The creator curating this particular course is the freeCodeCamp.org community.

For the 3 modules in the curriculum how many hours have to be invested for each one?

The 1st, 2nd, and 3rd modules can be completed in 5, 2, and 150 hours respectively.

Popular Searches

Data Visualization

Online

157 Hours

Quick Facts

Course overview

The highlights

Program offerings