Nano Degree Program - Difficulty Level

[asha_kanand]

Hi,

I would like to know more about the Udacity Nano Degree Program.  How challenging it is for someone who doesn't enjoy coding nor math! 

Thanks.

[atcodedog05 · Accepted solution]

Hi @asha_kanand 

I have completed the nano degree it doesn't require actual math skills and it requires no coding skills.

But you do need some strong logical understanding to get through.

On the difficulty scale it starts of on easy note but the end sections are pretty advanced. And does need some understanding and efforts to clear through.

And a pointer if you haven't actually taken/started the subscription yet. The lesson content is available for free in Udacity, search Alteryx in Udacity search it will get you the courses which is there in the nano degree. That way you can learn the concepts then start the nano degree so that you will be better prepared. Since it's a monthly subscription it's a good idea to finish as soon as possible. Once finished all the content of nano degree will get unlocked to free.

Hope this helps 🙂

[StellaBon · Accepted solution]

I agree, no coding to speak of, but I did take a free udacity differential statistics course before I started. For me, I need to understand WHY I'm doing something so statistics was helpful. 

My advice would be to blow through the first (easy) half of the course as quickly as possible because it becomes very involved towards the last 1/3rd of the course. Good luck!

StellaBon

[asha_kanand]

Thank you for the detailed message!.  Very useful Information!!

[asha_kanand]

Thank you for the valuable input!!

[atcodedog05]

Happy to help 🙂 @asha_kanand 

Cheers and Happy Analyzing 😀

[analysisinsightdata · Accepted solution]

While Udacity courses can be accessed for free, you don't get the project/cert/review, etc. unless you sign up/pay or get the ADAPT scholarship. Here are direct links to the courses which you can preview:

0. Statistics (recommended if you don't have the background; quite dated)
San Jose State University
https://www.udacity.com/course/statistics--st095

Exact same course above is also offered split in two-parts:

Intro to Descriptive Statistics
https://www.udacity.com/course/intro-to-descriptive-statistics--ud827

Intro to Inferential Statistics
https://www.udacity.com/course/intro-to-inferential-statistics--ud201

1. Problem Solving with Advanced Analytics
Patrick Nussbaumer
https://www.udacity.com/course/problem-solving-with-advanced-analytics--ud976

2. Creating an Analytical Dataset
Maureen Wolfson
https://www.udacity.com/course/creating-an-analytical-dataset--ud977

3. Classification Models
Ben Burkholder
https://www.udacity.com/course/classification-models--ud978

4. A/B Testing for Business Analysts
Patrick Nussbaumer
https://www.udacity.com/course/ab-testing--ud979

5. Time Series Forecasting
Tony Moses
https://www.udacity.com/course/time-series-forecasting--ud980

6. Segmentation and Clustering
Rod Light
https://www.udacity.com/course/segmentation-and-clustering--ud981

7?. Data Visualization in Tableau
Mat Leonard
https://www.udacity.com/course/data-visualization-in-tableau--ud1006

Hope this helps!