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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Data Analysis and Visualization course is a free learning programme of sixteen weeks, where recorded lectures will be provided to the students via an online classroom platform. This course will help students gain exposure in the area through the use of cutting-edge modelling, analysis, and visualization approaches. The Data Analysis and Visualization syllabus includes three core modules. It will focus on practical issues with complicated real-world data and involve numerous case studies as well as hands-on work using the R programming language. The Data Analysis and Visualization training are of intermediate level. The course emphasizes the learning-by-doing exercises assessments.

The Highlights

Self-paced learning course
Approx sixteen-week of the duration required
Taught by the industrial professionals
Free course
Offered by the Udacity
Three modules curriculum
Intermediate level

Programme Offerings

Instructor video
Training
assessments
Learning by doing exercises
quizzes

Courses and Certificate Fees

Certificate Availability
no

There is no fee for Data Analysis and Visualization course

Data Analysis and Visualization fees structure

Particulars	Amount
Course fee	Nil

Eligibility Criteria

Work experience

The candidate needs to have programming experience to apply in the Data Analysis and Visualization course by Udacity.

Education

Candidates must have elementary knowledge of the mathematics aspects like calculus, introductory probability, and linear algebra for applying into the Data Analysis and Visualization course. No Machine Learning knowledge is required as a prerequisite.

What you will learn

By the end of the Data Analysis and Visualization programme, the candidate will learn the following concepts -

Candidates will learn about the dynamics of the R programming language and its usage
R programming syntax must be taught in the middle of the course
An enrolled student could understand the data structure and how programming enhances it
The procedure of data preprocessing will be taught to the candidates
The models of linear regression would be taught to the students through examples
Students will learn about the regularization principles in depth
Data Analysis procedure could be taught at the end as the conclusion.
Data Visualization is an important element of the curriculum that will be taught in the training

Admission Details

Follow the procedure to enrol in the Data Analysis and Visualization online course -

Step 1: Follow the weblink to know about the course dynamics in detail https://www.udacity.com/course/data-analysis-and-visualization--ud404.

Step 2: The candidate needs to select the option “start the free course”, thereafter sign in using a Google or Facebook account.

Step 3: If candidates don't have an account on Udacity, then they have to register first.

Step 4: The enrollment is done.

Application Details

No application filing option is there for this particular course. The candidate can directly add the course to the classroom with sign-in using the social accounts.

The Syllabus

The R programming language
R programming and data structures
R programming syntax

Data preprocessing
Data visualization
Data processing

Logistic regression
Regularization
Linear regression

Instructors

Georgia Tech Frequently Asked Questions (FAQ's)

1: Will the candidate get any kind of financial assistance from Udacity?

Yes, Udacity provides several scholarship options for the candidates. They can opt for the scholarship that goes with their eligibility.

2: Does any kind of offline interaction take place during the Data Analysis and Visualization online course?

The online course is a completely online curriculum, so no offline interaction will occur.

3: What will be the procedure to enrol for the course?

Candidates have to sign-up first, and then the course will be added to their dashboard sort classroom. This is how the enrollment is done for this course.

4: What is the duration to complete the Data Analysis and Visualization course?

The candidate can complete the curriculum within sixteen weeks after enrolment.

5: What is the prerequisite that candidates need to clear for applying to the programme?

The candidate needs to have elementary Mathematics knowledge for applying to the course.