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Programming for Data Science with R
Quick Facts
| particular | details | |||||
|---|---|---|---|---|---|---|
|
Collaborators
Mode
|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Learning efforts
10 Hours Per Week
|
Course overview
The Programming for Data Science with R programme will help you master the relevant technology skills demanded by Data Science. The mentors and coaches are here to nurture you to augment your knowledge and understanding of the subject.
Interestingly, the course has been designed in collaboration with Mode, in keeping with the industry demands regarding Data Science. Over the course of 3 months, you will be entrusted with project work based on real-life scenarios and simulations. This is to ensure that you are adept at applying what you learn from the Programming for Data Science with R training module.
Incidentally, you need only know basic computer skills and be proficient in the English language to apply for this course. Additionally, you can subscribe to the R programming module according to your convenience.
Furthermore, you will also get opportunities to expand your network using the peer community, LinkedIn support and GitHub review available.
The highlights
- Self-paced programme
- Helpful instructors
- 3 months of learning (projected at 10 hrs per week basis)
- Practical projects
- Dedicated career counselling
- Technical guidance
Program offerings
- Mode curated self-paced online certification course
- Technical and training assistance
- Practical projects
- Udacity project review
- Career mentoring
- Resume services
- Interview training
- Github and linkedin profile counselling
- Peer-to-peer networking.
Course and certificate fees
The fee for Programming for Data Science with R is summarized as follows:
| Particulars | Amount in INR |
| Annual Fee | ₹20,500 |
Monthly fee - pay as you go | ₹9,225/month |
certificate availability
Yes
certificate providing authority
Udacity
Who it is for
The Programming for Data Science with R module is designed to help the following professionals:
- Data scientists
- Data analysts
Eligibility criteria
You should have proficiency in English language and rudimentary computer knowledge for applying to the Udacity Programming for Data Science with R Nanodegree programme. English language skills are necessary so that you can follow the training instructions.
Additionally, rudimentary computer knowledge would entail opening folders and files, running applications, and copying and pasting.
What you will learn
Sql knowledge
Knowledge of data visualization
The Programming Data Science with R programme will introduce you to the following tools;
- SQL
- Terminal
- R
- GitHub
- Command Line
The syllabus
Introduction to SQL
Introduction to R Programming
- Introduction to R
- Syntax & Data Types
- Control Flow & Functions
- Data Visualizations & EDA
Introduction to version control
- Shell Workshop
- Purpose & Terminology
- Create a Git Repo
- Review a Repo’s History
- Add commits to a Repo
- Tagging, Branching, and Merging
- Undoing Changes
- Working with Remotes
- Working on Another Repository
- Staying in Sync with a Remote Repository
Admission details
These are the steps to follow to register for the Programming for Data Science with R course from Udacity:
Step 1. Visit the course page.
Step 2. Click on the “Enrol Now” button, and you will get the option of a 7-day free trial.
Step 3. Depending on your convenience, choose any of the two “Start free trial” buttons.
Step 4. You can sign-up with Google or Facebook account.
Step 5. After you have paid the course subscription fee, you may download the payment receipt, and keep it saved for future reference.
Filling the form
Regardless of specific background and experience, anybody interested in learning more about Data Programming using R can enrol in the Udacity Programming for Data Science with R Nanodegree programme. However, there is no application form.
How it helps
The Udacity Programming for Data Science with R programme is crafted to deliver an immersive experience regarding the nuances of Data Science.
The projects, which you are compulsorily expected to submit, will be reviewed by a panel of experienced reviewers. You will be eligible to receive personalised feedback. There are more than 2000 active project reviewers. Additionally, there is no limit on project submissions or their resulting feedback. You will be tutored in the various tips and tricks of the industry.
Furthermore, the Programming for Data Science with R Nanodegree programme makes you eligible for the services of the mentor support community.
Moreover, the career counselling experts engage in one-on-one interactions so that your issues receive maximum attention. These experts will help you expand your network and advise you regarding job interviews and offers.
Instructors
Mr Josh Bernhard
Data Scientist
Freelancer
Mr Derek Steer
Co-Founder and CEO
Freelancer
Ms Juno Lee
Curriculum Lead
Udacity
Mr Richard Kalehoff
Software Engineer
Udacity
Other Bachelors
Mr Karl Krueger
Command Line Instructor
Udacity
FAQs
Why is this course important?
The Programming for Data Science with R programme will help improve your understanding of data science, thereby providing you with a fresh perspective. If you are interested in coding, then this course will help you. You will be learning ways to code and solve data problems using R, Git, Command Line, and SQL.
What is the duration of the Udacity online Data Science with R programme?
The programme duration is of 3 months. It will be increased to a month-to-month basis if you are unable to complete the accreditation course within 3 months.
How is the Learning R for Data Science course structured?
There will be live projects and case studies to aid your learning process. All projects will be scrutinized by the Udacity review network. Furthermore, you must obtain a positive grade in each project to receive the course completion certificate in the end. Moreover, you may be asked to resubmit the projects to obtain a passing mark. You are expected to complete the course within 3 months. Extensions are available.
Are there any prerequisites for enrolment?
You should be proficient in the English language and have a rudimentary knowledge of computer functions to enrol yourself for this course. Additionally, you must pursue this programme on a 64-bit machine with a working internet connection.
What are the admission criteria to enrol for the Data Science with R programme?
There are no admission criteria. You are eligible to apply for the Data Science with R programme if you have basic computer skills and English language proficiency.
What kind of mentoring and support is available?
Udacity ensures that industry experts teach all the courses. Additionally, you will be eligible for technical support and career coaching. Consequently, you will also receive resume improvement guidance and LinkedIn profile review.
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