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Next Cohort: Mar 4-Jul 4

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Duration

4 months

Tuition

$1,320

 

Mar 4-Jul 4

Plus 4 other start dates

Apr 1 - Aug 1 2024

May 6 - Sep 6 2024

Jun 3 - Oct 3 2024

Jul 2 - Nov 2 2024

Commitment

Part-Time

Delivery

Online

Credential

Certificate

Year Founded

2011

Scholarships

yes

Udacity’s Data Science Nanodegree program is a specialized data science program that equips learners with the skills to run data pipelines, design experiments, and develop recommendation systems. The curriculum, rich in practical skills like scikit-learn and NumPy, prepares students for real-world challenges in data science. Learn from experts and engage in projects that mirror industry scenarios. At Udacity, the focus is on making learners job-ready with practical, industry-aligned training.

To optimize success in this program, before enrolling, students should have the following knowledge predictive analytics, scikit-learn, NumPy, basic statistical modeling, Pandas, basic Python, Command line interface basics, Python package management, Git, Python data analysis libraries, basic SQL, Python for data science, JSON, Relational database proficiency, Data wrangling, basic descriptive statistics, Relational database basics, Data Visualization, linear algebra, basic calculus, and inferential statistics. Students also need to be able to communicate fluently and professionally in written and spoken English.

What You’ll Learn
• Software Engineering
• Data Engineering
• Experimental Design & Recommendations

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Next Cohort: Mar 4-Jul 4

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Student Reviews (1)

Write a Review

Udacity

Coaching for the win!

Sandra McBride

April 28, 2020

Graduated From

Data Scientist

Overall:

4 out of 5

Instructors:

5 stars

Curriculum:

4 stars

Job Assistance:

4 stars

This program is great for beginners and the extra support you get is why I paid for this course in the first place. Basically, you get a coach, you get code reviews and you get access to content. I could have found a lot of the content on the web mysel...

This program is great for beginners and the extra support you get is why I paid for this course in the first place. Basically, you get a coach, you get code reviews and you get access to content. I could have found a lot of the content on the web myself, but I know I couldn't have moved as fast or learned with as much depth if I tried to put a curriculum together without help. The course teaches you how to learn, then guides you through the technical stuff.

The time commitment is big. I'm warning people who aren't serious about data science to start with free online courses and see how committed they really are. In my case, this made sense and it helped me get on the career track I only used to dream about while working at my old job.

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