Programming for Data Science with Python
Below are the top discussions from Reddit that mention this online Udacity nanodegree.
Learn the fundamental programming tools for data professionals: Python, SQL, the Terminal and Git.
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Reddit Posts and Comments
0 posts • 5 mentions • top 5 shown below
1 points • asudhir101
This one includes sql along with pandas, numpy and github tutorial.
https://www.udacity.com/course/programming-for-data-science-nanodegree--nd104
1 points • create_a_new-account
udacity is running a "free" 30 special for all nanodegrees
you might be interested in
Programming for Data Science with Python
https://www.udacity.com/course/programming-for-data-science-nanodegree--nd104
you still have to enter in a credit card number and they will start charging you after 30 days
but you could try it out for 30 days and then cancel
1 points • RogerSmithII
Anyone take the Udacity Data Analyst / Data Scientist Nanodegrees?
At the bottom of the page, under "Your path to the right job," you can select a few different degrees: https://www.udacity.com/school-of-data-science
One of the courses required for both the Data Analyst and Data Scientist degrees is Programming for Data Science with Python: https://www.udacity.com/course/programming-for-data-science-nanodegree--nd104
The course page says that it takes 3 months to complete the course, assuming 10 hours/week. Is it possible to complete the course in 1 month if you devote 40 hours/week? Or are there other limitations like the 1-on-1 technical mentor availability? I didn't see this question addressed in Udacity's FAQ.
1 points • my_password_is______
wouldn't normally recommenced udacity (too expensive)
but they're running a one month free special right now
https://www.reddit.com/r/Udacity/
so the idea is to sign up -- do as much as you can the first 29 days and then cancel your subscription
Programming for Data Science with Python
https://www.udacity.com/course/programming-for-data-science-nanodegree--nd104
https://s3.amazonaws.com/video.udacity-data.com/topher/2018/June/5b29af4c_pfds-syllabus/pfds-syllabus.pdf
Become a Data Analyst
https://www.udacity.com/course/data-analyst-nanodegree--nd002
https://d20vrrgs8k4bvw.cloudfront.net/documents/en-US/nd002-syllabus_2018-June_v9.pdf
udacity also has courses for "business analytics" but they're all taught with MS Excel
udemy has some decent courses
https://www.udemy.com/courses/search/?ref=home&src=ukw&q=python+financial
but NEVER pay full price for them
they ALWAYS go on sale just about every other week
any course that costs $199 today could be $10.99 in two days
just keep checking their site
1 points • Joseph-Miano
I'm sorry to hear about your accident, but wish you luck in this career transition. Are you more interested in machine learning than traditional software development? If so, I've heard good things about Udacity's intro program, which will bring you up to speed in Python and SQL: https://www.udacity.com/course/programming-for-data-science-nanodegree--nd104
You could then look at something like this to take yourself further: https://www.udacity.com/course/ai-programming-python-nanodegree--nd089
The Andrew Ng machine learning course is famous and quite good for understanding concepts, I'd recommend you take it after getting some experience in programming: https://www.coursera.org/learn/machine-learning
Beyond these specific courses though, you'll want to brush up on: computer science principles (loops, variables, data structures, algorithms, code structure etc.), linear algebra, probability, some statistics, and calculus. These are the foundations of machine learning. Lots of great resources online on edx, coursera, udemy, udacity etc.
Siraj Raval is a well-known person on YouTube in ML education, and he's compiled a 3-month course to go from 0 to proficient in machine learning. While 3 months is a little ambitious (e.g. he recommends watching videos at 2-3x speed which may be difficult if you really want to understand the concepts), he's gathered some good resources you can check out: https://www.youtube.com/watch?v=Cr6VqTRO1v0
Good luck!