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Data Science with Python
BY
Udacity
Join Udacity Programming for Data Science with Python course, and familiarise yourself with significant programming ...Read more
Beginner
Online
3 Months
Quick Facts
| particular | details | ||||
|---|---|---|---|---|---|
|
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
Programming for Data Science with Python Nanodegree course by Udacity will help you take that first step in the field of Data Science. With the help of experienced tutors and professional mentors, you will gain an edge over your competitors.
The 3-month course, curated by Mode, features learning exercises introducing you to SQL, Python, GitHub, and Command Line. There will be projects to help review your understanding of the concepts being taught. You will need to pass all your project submissions to complete the Data Science with Python course. Furthermore, you can access the directories of Pandas and NumPy and learn about the use of Terminal.
Payment options for availing the Programming for Data Science with Python module are two-fold—upfront, or through monthly instalments. There is no application form required to be filled for this, and the only prerequisites needed for applying are basic computer knowledge and English language proficiency.
Join today to learn more about data programming!
The highlights
- Personalised online learning programme
- Content co-created with Mode
- 3 months of online training (estimated at 10 hrs per week basis)
- Practical projects
- Industry-based project
- Quizzes for evaluation
Program offerings
- Mode curated curriculum
- Instructor assistance
- Career counselling
- Peer-to-peer networking
- Llive projects
- Udacity review network
- Resume services
- Interview training
- Github support
- Linkedin review.
Course and certificate fees
The fee for Data Science with Python 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
This online Data Science with Python module is designed to help;
- Data analysts
- Data scientists
Eligibility criteria
The only prerequisite for applying for the Udacity Data Science with Python training module is basic computer skills. Elementary knowledge in the form of running applications, opening folders and files, and copying and pasting is essential.
Additionally, proficiency in the English language is imperative so that you can follow the course instructions. Furthermore, you also require a 64-bit computer/laptop, with internet access to pursue the Nanodegree programme.
Certificate Qualifying Details
To get the course completion certificate, participants must complete four projects. The projects will be evaluated by a team at Udacity. You will get the certificate if you pass the project.
What you will learn
Knowledge of python
Sql knowledge
While pursuing Udacity Data Science with Python programme, you will:
- Become skilled at SQL fundamentals like Aggregations, Subqueries, and JOINs.
- Utilise SQL scripting language and solve advanced business problems.
- Get acquainted with Python Programming.
- Proficiently work in Python programming fundamentals like variables, data structures, functions, and loops.
- Use Pandas and NumPy libraries to work with data.
- Use and operate Version Control to share your work with the data science industry.
- Learn advanced concepts of SQL, Python, Terminal, Command Line, Pandas, NumPy, and GitHub.
The syllabus
Introduction to SQL
Introduction to Python Programming
- Why Python Programming?
- Control Flow
- Data Types and Operators
- Functions
- NumPy
- Scripting
- Pandas
Introduction to Version Control
- Terminology and Purpose
- Shell Workshop
- Review a Repo’s History
- Creating a Git Repo
- Add Commits to a Repo
- Undoing Changes
- Merging, Tagging, and Branching
Admission details
You can follow these steps to enrol in the Programming for Data Science with Python course from Udacity:
Step 1. Visit the Udacity website and go to the Programming for Data Science with Python course page.
Step 2. Click the “Enrol Now” button. You will be offered a 7-day free trial.
Step 3. Choose any of the two “Start free trial” buttons, based on your convenience.
Step 4. Sign-up with either your Facebook account or Google account.
Step 5. Furthermore, you will have to pay the course subscription fee. Save the transaction slip after you have made the payment.
Filling the form
The Udacity Data Science with Python Nanodegree programme does not require any application form to be filled. The programme is available for all. All you need to do is go to the website, provide your email address, and pay the required fee to get enrolled.
How it helps
The Udacity Data Science with Python Nanodegree programme has a comprehensive curriculum to help augment in-demand skill sets.
This course will help you take that leap in the world of Data Science. Completing this course will make you more comfortable with programming tools such as Git, SQL, and Python. Additionally, you will also gain access to the niche data libraries of NumPy and Pandas.
Furthermore, you will receive dedicated career counselling and resume building exercises. Finally, there will also be preparatory sessions to make you feel more confident and interview ready.
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 should I enrol for this course?
Data science has become an exciting field to work in. This Data Science with Python Nanodegree programme will help improve your knowledge of the fundamental programming languages used by data scientists. As a course graduate, you will be adept in the programming skills deemed necessary for data analysts and data scientists.
What is the duration of the Data Science with Python programme from Udacity?
Most students require three months to complete this accreditation course. If you need more time after the initial three months, Udacity will shift you to the monthly learning cycle.
How is the Programming with Data Science course structured?
The course curriculum supports three working projects and case studies. According to Udacity, candidates will require a minimum of 3 months to complete the entire course. The Udacity review network will peruse, grade, and review your submissions. Learners can request resubmissions for any project that they are unable to pass.
What is the cancellation and refund policy?
Learners can find all the intricate details regarding cancellation and refund at Udacity’s terms of use section readily available on their official website.
What are the admission criteria for enrolment?
There are no admission criteria. Anybody with interest in data science and programming can apply for the online Udacity Data Science Nanodegree programme.
What kind of mentoring will I receive?
Udacity offers mentoring and coaching solutions from industry experts. You will receive constant guidance and feedback throughout your training.
What else can I learn after completing this course?
After completing this programme, you may choose to study advanced data analysis. The Data Analyst Nanodegree program accessible on the Udacity website will introduce you to real-world data analytics issues. Conversely, you could learn about engineering data models, data pipelines, and data warehouses at Udacity’s Data Engineering Programme.
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