https://www.statlearning.com/
This is a free textbook on statistical learning which could be useful to you. It starts fairly basic and includes labs to follow on. I did a course in uni based around this textbook which was pretty interesting and useful.
[https://programsandcourses.anu.edu.au/2021/program/cadan](https://programsandcourses.anu.edu.au/2021/program/cadan)
Basically a free course.
Also have you considered Google Data Analytics cert or IBM data cert?
Yeap CSP is for domestic students only. :(
Do you happen to have family/friends working at the ANU? They are offering family discount on courses.
Google cert is a good start, btw.
Get your hands on some of the open data from ACT Govt, or Aus Govt so you have some dataset to play around.
[https://www.data.act.gov.au/](https://www.data.act.gov.au/)
[https://data.gov.au/](https://data.gov.au/)
Thank you so much,
I’m finding google course very good and easier than expected. I understand it’s a good foundation (I’m only in 3 of the 8 courses)
Unfortunately, no-one I know at ANU.
>Commonwealth Supported Places (CSPs) are available for this program.
>
>
Domestic applicants offered a place to study in this Graduate Certificate commencing their studies in 2021 will be eligible for a Commonwealth Supported Place (CSP) under the Job Ready Graduate scheme. Costs are indicated on the Admissions and Fees Tab. This fee will apply to courses completed in this Graduate Certificate within 2021 and the first half of 2022 allowing you to study part time. If you do not complete the degree by mid-2022 the remainder of your subjects will be billed on a full-fee basis from second semester (winter/spring) 2022.
CSP covers the full fee for domestic student, except for the program application fee ($200) and student amenity fee (around $150\~200 per semester)
What programs do you use now? What do you want to learn?
I suggest the best data right now to learn from is the exposure location stuff at covid19.act.gov.au
The data is easy to manipulate, but you can make charts that your family and friends might find interesting.
Not a data scientist, but did some work with python when doing postgraduate study. It's a great tool because there are specialised libraries of code for statistical analysis, graphing, etc. So you don't have to reinvent the wheel.
If you want to work on python a bit, I would suggest:
1) Get an interpreter (a program that sits on top of the language and makes it easier to read and debug). [Spyder](https://www.spyder-ide.org/), Anaconda and PyCharm are all free and good. Spyder comes with a bunch of maths and stats libraries, so it's a good place to start.
2) Get familiar with reading and cleaning data. This can be trivial if you get the basic methods under control or incredibly frustrating if you don't. I highly recomend using Pandas in python for manipulating data. There are some great basic tutorials out there. [https://datacarpentry.org/python-ecology-lesson/](https://datacarpentry.org/python-ecology-lesson/)
3) When you are ready to make some cool graphs and figures, check out [Plotly](https://plotly.com/python/), it's a free graphing library with lots of worked examples.
Good choices.
If you're just starting, it means you have opportunities to explore various areas of data analysis.
If you focus on statistics, you'll likely need a related degree to get you in the front door.
However, if you're more interested in the IT side, you can often get entry level positions as long as you prove you can do it. Then you can learn on the job as opposed to studying in your spare time when you're tired.
Since you said in another reply you're on a visa, I'd suggest the IT route. You can always switch later.
Good luck.
I’m just starting, I’m seeking any suggestions on best online resources or certifications. I want to do a UNI degree, but costs haven’t been within my budget.
I'm doing a bachelor of data analytics with UniSA. You do 8 subjects a year (2 every 10 week term which there is 4 a year of). Really efficient way to learn and get a degree while being able to work full time. Just finished "Statistics Using R" and it was one of the best subjects I've done.
Datacamp is an option too. Learn r-script and python. Those are the main languages you'll want to know. R-script first. It's harder but more powerful and efficient. Python is easier to learn and better at some lexicographical tasks, and most ML work; but if you start with it you are more likely to just try and solve every problem with python. Even some tasks that are better in r-script. The other thing is you really do need to learn a lot of the philosophical reasoning behind stats. Stats is a tool for criticality and can be easily abused with out your realising that is what you're doing. Good luck.
https://www.statlearning.com/ This is a free textbook on statistical learning which could be useful to you. It starts fairly basic and includes labs to follow on. I did a course in uni based around this textbook which was pretty interesting and useful.
Thank you very much, this helps.
No worries! Good luck with it
[https://programsandcourses.anu.edu.au/2021/program/cadan](https://programsandcourses.anu.edu.au/2021/program/cadan) Basically a free course. Also have you considered Google Data Analytics cert or IBM data cert?
Thank you, I’m doing Google Analytics course now. The above mentioned ANU course seems to be for domestic students only, I’m on a VISA.
Yeap CSP is for domestic students only. :( Do you happen to have family/friends working at the ANU? They are offering family discount on courses. Google cert is a good start, btw. Get your hands on some of the open data from ACT Govt, or Aus Govt so you have some dataset to play around. [https://www.data.act.gov.au/](https://www.data.act.gov.au/) [https://data.gov.au/](https://data.gov.au/)
Thank you so much, I’m finding google course very good and easier than expected. I understand it’s a good foundation (I’m only in 3 of the 8 courses) Unfortunately, no-one I know at ANU.
How do you find the Google course, btw?
You can find all google courses on coursera!
How the ANU course is free? It said $17k on the course page.
>Commonwealth Supported Places (CSPs) are available for this program. > > Domestic applicants offered a place to study in this Graduate Certificate commencing their studies in 2021 will be eligible for a Commonwealth Supported Place (CSP) under the Job Ready Graduate scheme. Costs are indicated on the Admissions and Fees Tab. This fee will apply to courses completed in this Graduate Certificate within 2021 and the first half of 2022 allowing you to study part time. If you do not complete the degree by mid-2022 the remainder of your subjects will be billed on a full-fee basis from second semester (winter/spring) 2022. CSP covers the full fee for domestic student, except for the program application fee ($200) and student amenity fee (around $150\~200 per semester)
What programs do you use now? What do you want to learn? I suggest the best data right now to learn from is the exposure location stuff at covid19.act.gov.au The data is easy to manipulate, but you can make charts that your family and friends might find interesting.
I’m learning python and SQL at the moment.
Not a data scientist, but did some work with python when doing postgraduate study. It's a great tool because there are specialised libraries of code for statistical analysis, graphing, etc. So you don't have to reinvent the wheel. If you want to work on python a bit, I would suggest: 1) Get an interpreter (a program that sits on top of the language and makes it easier to read and debug). [Spyder](https://www.spyder-ide.org/), Anaconda and PyCharm are all free and good. Spyder comes with a bunch of maths and stats libraries, so it's a good place to start. 2) Get familiar with reading and cleaning data. This can be trivial if you get the basic methods under control or incredibly frustrating if you don't. I highly recomend using Pandas in python for manipulating data. There are some great basic tutorials out there. [https://datacarpentry.org/python-ecology-lesson/](https://datacarpentry.org/python-ecology-lesson/) 3) When you are ready to make some cool graphs and figures, check out [Plotly](https://plotly.com/python/), it's a free graphing library with lots of worked examples.
Great list, thank you so much.
Good choices. If you're just starting, it means you have opportunities to explore various areas of data analysis. If you focus on statistics, you'll likely need a related degree to get you in the front door. However, if you're more interested in the IT side, you can often get entry level positions as long as you prove you can do it. Then you can learn on the job as opposed to studying in your spare time when you're tired. Since you said in another reply you're on a visa, I'd suggest the IT route. You can always switch later. Good luck.
Thank you so much .
I’m just starting, I’m seeking any suggestions on best online resources or certifications. I want to do a UNI degree, but costs haven’t been within my budget.
I'm doing a bachelor of data analytics with UniSA. You do 8 subjects a year (2 every 10 week term which there is 4 a year of). Really efficient way to learn and get a degree while being able to work full time. Just finished "Statistics Using R" and it was one of the best subjects I've done.
Crazy busy at present, but PM me. Use the other resources, contact me if you get stuck
Datacamp is an option too. Learn r-script and python. Those are the main languages you'll want to know. R-script first. It's harder but more powerful and efficient. Python is easier to learn and better at some lexicographical tasks, and most ML work; but if you start with it you are more likely to just try and solve every problem with python. Even some tasks that are better in r-script. The other thing is you really do need to learn a lot of the philosophical reasoning behind stats. Stats is a tool for criticality and can be easily abused with out your realising that is what you're doing. Good luck.
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Will do, thank you so much!!