Google Data Analytics

Are you in a public library setting? Maybe working in another sort of library may make things easier. I know the pain of getting yelled at over fines when I worked in a public library, and I also don't love the public-facing part of librarianship.

I think there are some law firms or businesses that need researchers that may allow for WFH.

Another thing you could look into is working as customer support for an integrated library system - not in sales but more for helping librarians (not general public) troubleshoot tech problems. Could do the same thing with databases too.

I think Google has some trainings that you can do online, such as Data Analytics, which is I think a total of $300 and takes about 6 months to complete.

I honestly don't know. I'm a computer science major that stumbled my way into the field after getting out of IT troubleshooting/support. I don't really know the best traditional path.

I have heard good things from colleagues about the IBM Data Science Certificate and Google Data Analytics certificates but I can't vouch for them personally. They seem hightly rated so maybe check those out if you can.

My main suggestion would be to pick up some basic SQL and/or Python classes to learn the fundamentals if you already haven't. A lot of other apps/programs are company specific but SQL and Python are useful regardless of where you work.

Start with Google Data Science certification. Its newly launched and I think it'll be perfect for you.

https://www.coursera.org/professional-certificates/google-data-analytics

Μπορει να ξεκινησει απο εδω. Δεν ειναι του επαγγελματος αλλα εχω ακουσει καλα λογια απο ατομα που εκαναν τα google certificates

I would say the Google Data Analytics certificate on Coursera (link) is the best option out there. I believe you can do it for free as well.

What type of company do you work at currently? And what is your current role?

Achha.. mai uss din apko iske baare mei bata raha tha

https://www.coursera.org/professional-certificates/google-data-analytics

Maine isme enroll kiya tha, don’t think it would help much 😪.. but apko aur bhi programs mil jayengw

Google Certification on Coursera...

https://www.coursera.org/professional-certificates/google-data-analytics

https://www.coursera.org/professional-certificates/google-data-analytics?utm_source=gg&utm_medium=sem&utm_campaign=15-GoogleDataAnalytics-ROW&utm_content=15-GoogleDataAnalytics-ROW&campaignid=12566515400&adgroupid=117869292845&device=m&keyword=data%20analyst%20certification%20google&matchtype=p&network=g&devicemodel=&adpostion=&creativeid=507290840621&hide_mobile_promo&gclid=CjwKCAjwrPCGBhALEiwAUl9X03KE-ouf2lY4nI-EG7oEGVRakQvHzdhNT4jmD8U0eJ9EDBrmM-kLlRoCUcgQAvD_BwE

Np

echale un ojo a https://www.coursera.org/professional-certificates/google-data-analytics , tiene la mejor relacion calidad precio, 285 mxn al mes hasta que termines los 8 cursos

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tambien lo que he notado acerca del job market es que util aprender cosas como desplegar aplicaciones en la web para servir los modelos. Esto se aprende mas que nada con proyectos. Podrias echarle un ojo a Digital Ocean o Vultr.

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PD: Si quieres un proyecto de programacion didactico, podrias intentar hacer un bot que revise disponibilidad de citas en el SAT jajaja

Would taking a data analytics course also be helpful in the non writing parts of being a successful self published author? Because a lot of becoming popular is blurb, keywords, title and cover. Would the skills you gain as a data analyst also be helpful in marketing your books? Because I’ve seen this course from google on becoming an entry level data analyst on YouTube and as was thinking of taking it just to see if it would be a cool career but also some of the skills seemed that they could help with the marketing part of being an author. Here’s a link to the course https://www.coursera.org/professional-certificates/google-data-analytics?utm_source=google&utm_medium=institutions&utm_campaign=gwgsite&_ga=2.5586225.329473886.1637493082-1424358061.1637493082

I think data analytics can be widely used in almost any industry that produces data. Google is offering a data analytics course on Coursera, which comes with a professional certificate after you complete it. I'm currently in the third course, and I love everything about it. You might want to give it a try.

Não fiz um plano concreto (e claro que iria fazer caso fosse avançar, estava só a imaginar uma possibilidade). Mas provavelmente seguir um curso como o da Google no Coursera (6 meses se 10h/semana - https://www.coursera.org/professional-certificates/google-data-analytics#courses), e ia limando arestas pelo caminho.

Se que no es lo que preguntastye, pero yo haría el curso de Google que dan en Coursera.

Google Data Analytics Professional Certificate

Si no lo podés pagar, ahí tenes la opción de aplicar para finnantial aid, que basicamente llenas un formulario diciendo que no podes pagar y te habilitan a tener el certificado gratis 15 días después de enviarlo (igual podes hacer el curso gratis, pero no obtenes certificado).

Yo ya certifique vario cursos 100% free diciendo que no podia pagar (mentira si puedo pero ni ganas, soy argentino).

A typical experience is you get 3-4 classes in, list OMSA on your LinkedIn and get headhunted for a data analysis role -- you then gain experience while working on your degree, and leave the program with *an actual degree* plus a couple years of full-ish-time practice.

Could you get there with self-studying Excel and PowerBI? Possibly. It's hard to beat a value proposition of $10k for a master's. One possibility is the Google Data Analytics Professional Certificate, which has a job network that becomes available to you once you complete it.

If you're especially interested in grokking Excel and Tableau/PowerBI, you'll need to self-study them anyway as OMSA doesn't have specific classes in these. Even the R and Python programming covered in OMSA are more about how to use tools in the language rather than how to use the language.

(It may seem I'm dancing around the question, but I don't know what specific values you hold above others)

It's not too late. Yes, the minimum wage cycle is deep and dark. It sucks, I'm there right now too. From my perspective, the real problem is that you don't have strong goals. Trust me, I was there literally last week and for the last 3 years. I'm only STARTING to figure it out.

When you say still lives at home, do you mean with your parents? That's tough but puts you in a good position to start over. Realize that the place you're in right now is all mental. You could easily move past this if only you could get out of your own way. It's a very common problem, although that doesn't make it easier to navigate.

Are there any free counseling services in your area? Or services where you can pay whatever you can afford? Counseling is well worth it. It's difficult to open up if you haven't done it before, but it helps you to sort through your own head and identify what is stopping you from moving forward in life.

Free certificates. The thing that helped me most was beginning starting this program. No experience required, no degree required, it truly is knowing nothing and coming out knowing how to be a data analyst. Is it for you? I don't know, but it's the thing that's saving me right now. Having no direction is actually what was eating at me the whole time.

Gym. The gym is simply just good for you. It's good for your mind and soul as much as it's good for your body. Exercising is an important part of mental health that gets overlooked. Even just going out for a 30-minute walk where you consciously are aware of the trees, the smell of the air, the clouds in the sky, the grass on the lawns.

These things help me. If any of them pique your interest, feel free to let me know and I can go into more depth.

https://www.coursera.org/professional-certificates/google-data-analytics

He could do the Google Professional Certificate in Analytics, which is a more natural stepping stone to Data Science and is a hireable cert.

Danke dir, nach Projekten hätte ich als nächstes gefragt, denn ich müsste das direkt auch an ein paar Praxisprojekten üben/lernen können, wenn ich einmal richtig drin bin. Das Camp ist mir ehrlich gesagt zu teuer\^\^. Google Zertifikat ist das das hier. Soll wohl in den USA gut ankommen und hat auch u.a. ein Projekt fürs Portfolio am Ende dabei.

Google released a Data Analytics Professional Certificate last week. Content seems good, and it’s basically free. I’m in AI now after working for 5+ years in data analytics/data science. Let me know if you have any questions!

Yes, the Coursera one. (This was my back up if I didn't get in. I have no work experience in analytics. YMMV.)

https://www.coursera.org/professional-certificates/google-data-analytics?utm_source=gg&utm_medium=sem&utm_campaign=15-GoogleDataAnalytics-US&utm_content=15-GoogleDataAnalytics-US&campaignid=12504215975&adgroupid=122709142727&device=m&keyword=google%20data%20analyst%20certification&matchtype=p&network=g&devicemodel=&adpostion=&creativeid=504570191910&hide_mobile_promo&gclid=CjwKCAjwkN6EBhBNEiwADVfya0CsPSIdN4tDBFlnc2a5Xb3ubTLpe8med-RuaAUoyZTMjQH4e_UagRoCGAsQAvD_BwE

Google has professional certificate classes. 6 months generally and I think about $30/ mo. Haven’t done it but was interested at one point in a few that they offer.

https://www.coursera.org/google-career-certificates

https://www.coursera.org/professional-certificates/google-data-analytics

https://www.coursera.org/professional-certificates/google-data-analytics

Looks like the course is still free.

I'm doing the Google Data Analytics course to get a certificate. The good thing about this certificate is that google works with a good amount of big companies that have to hire people with this certificate in order to meet their quota.

This is the link to course https://www.coursera.org/professional-certificates/google-data-analytics?

You can do it at your own pace!

https://www.coursera.org/professional-certificates/google-data-analytics

Just to be clear, I am referring to the link above which is a professional cert. Just pre-face, I am no expert. Currently taking the digital marketing course developed by Google for SGunited and I can say it is not exactly 'easy' or 'uncomprehensive' even at this stage. Due to that, I took some time to read up and cross checking with online forums about other Google Certs on Coursera which appears to be quite a widely recognized as a good base point and what employers will prefer over say, someone with 'experience in the industry' but no practical skills or knowledge. So yea, maybe you want to read up more about it ..

Its available on coursera, the link is : https://www.coursera.org/professional-certificates/google-data-analytics. It would be better to just read about data analytics beforehand and then start with coursera pro, it takes around 1 month to complete, so the financial cost is very less and you can also do the IBM Data Science, the one available in coursera, they both have their own things they excel in, plus they work on different languages and tools so combined its a good package.

And, I am an international student. I will be traveling from India, just waiting to get all vaccinations done and receive the CAS and everything to avoid any shortcomings. What about you? Home or international?

Well I mean if you love to make things pretty ;-)

I don't have time for it now though I do want to circle around to it when time allows and that is the new Google Data Analytics Cert. on Coursera. That could be a relatively inexpensive way to test the water. I can't imagine it taking you more than 2 months (disregard the number of hours they list) and I think it's $35 a month? The interesting thing with that is that they have put together a business consortium that has agreed to hire from people that have completed the program. Just a thought as opposed to changing majors and perhaps finding out you don't care for something. I'll link a couple resources.

Google Data Analytics

Alex

https://youtu.be/wnapnTAMj68

https://www.coursera.org/professional-certificates/google-data-analytics

‘What will I be able to do upon completing the professional certificate? Google Career Certificates are designed to prepare you for an entry-level role in job fields like IT support, data analytics, project management, or UX design - whether that’s doing in-person or remote work, at a small company or a large enterprise organization. Upon completion of the certificate, you will have the option to share your information with top U.S. employers that are hiring entry-level professionals, like Cognizant, H&R Block, Hulu, JM Smucker, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, TEKSystems, UPMC, Veterans United Home Loans, Walmart and of course, Google. Currently, access to jobs in the employer consortium is only available to those eligible to work in the U.S., but it is expanding to India, Europe, and other regions soon.’

‘What resources will be available to help with the job search process? In addition to expert-led training and hands-on projects designed to prepare you for a job, you'll get access to interview tips, mock interviews and resume building workshops, career coaching sessions and more. You'll also be able to connect with over 130 U.S. employers who are searching for candidates who have completed a Google Career Certificate.’

Summed up as it can’t hurt, nothing lined up outside the US this early. This course starts on 28 March, no background experience required.

i'm thinking about trying this course, pretty cheap but dunno if it's actually worth anything

https://www.coursera.org/professional-certificates/google-data-analytics?action=enroll&aid=true&utm_campaign=gwgsite&utm_medium=institutions&utm_source=google

Since you already have the academic background I would recommend you to audit some coursera courses like

​

• Google's Data Analytics Certificate

https://www.coursera.org/professional-certificates/google-data-analytics

• IBM Data analytics Certificate

https://www.coursera.org/professional-certificates/ibm-data-analyst

​

The main difference being that Google uses R for programming and IBM Python, I personally will learn both just in case but I think the industry standard is becoming Python.

Any time you want to move between career paths, it pays to codify (write down) and formalise your knowledge.

I have had success using online short courses as a way to consolidate my knowledge and to also give me a bit of paper at the end to show I did the work. You might also consider doing some online postgraduate study through open universities etc.

Some courses you might want to look at:

• https://www.udemy.com/course/supply-chain-management-a-z/

• https://www.udemy.com/course/the-business-intelligence-analyst-course-2018/

• https://www.coursera.org/professional-certificates/google-data-analytics

Agreed with sambomambowambo: beware of falling onto a course treadmill. If you are planning to go into data science, these projects will serve you well both in learning and for your personal portfolio for when you apply to jobs.

That said, I'm in a similar boat and am working on transitioning into data science, specifically data analytics as a start. As you're in the same boat, I'd recommend to use the below:

• Google Data Analytics Professional Certificate : Coursera
• 2021 Complete Python Bootcamp From Zero to Hero in Python : Udemy
• Python for Data Science and Machine Learning Bootcamp : Udemy

I completed the Google course and would recommend that as quite a useful experience - especially past the first two courses. It is helpful especially if you have no prior experience. I have purchased but not yet started the Python course, but the instructor is well-regarded.

My take on all of this is to work through the courses as thoroughly as possible and to stretch your ability to the extent you can on the projects you're assigned. Do your damnedest in any capstone/ final project for each course and all micro-projects and in-lesson problems. Once you have a decent level of understanding, complete a project to apply what you learned.

​

Personally, I went above what was required for the Google capstone project and stretched my skills- so I'm not completing another analysis project until I've developed other skillsets. Now I'm focusing more on Python and SQL and will do a few independent projects in each until I'm confident. Then I'm moving onto the Python for Data Science course and will do another independent data analysis project once I've completed that.

Sure. There's a couple of things you need to learn in order to develop a solid foundation in data analytics:

• Statistics: You need to have a good working knowledge of basic and intermediary level statistics, including an understanding of mean, median, mode, etc., all the way up to sampling, distributions, linear regression, etc. The best course I can recommend for that is: Introduction to Statistics by Stanford University. Make sure to just audit the course, instead of paying for it. You'll have access to all the course materials and assignments. It's just that when you audit the course, you won't be able to submit your assignments and get graded for them, which is totally fine.
• Programming Languages: You absolutely need to learn SQL and at least one of the following programming languages: Python, R or SAS. For SQL & R, I recommend taking this entire specialization: Google Data Analytics Certificate. Once again, you can access all the available courses under this specialization for free. But if you want to earn a certificate - which I highly recommend if you're new to Data Science - then consider paying for it. It'll cost you $40 per month and you should be able to complete the entire specialization within a span of 2 months, if you spend at least 20 hrs/week working on it. For Python, this is the specialization I would recommend for everyone: Python for Everybody. Also, make sure to learn the following Python packages: Numpy, Pandas, Matplotlib, Seaborn. Some great playlists to follow on YT: Pandas, Matplotlib, Seaborn.
• Data Visualization: You need to be proficient in at least one data visualization software: Tableau or Power BI. You'll find a great course (course #6) on Tableau under the previously mentioned Google Data Analytics Certificate. Some great courses on Power BI on Udemy: MS Power BI Basics, Advanced DAX. Make sure you're on the lookout for Udemy's insane 90% off discounts. Those occur at least once a month and last for about 3-4 days.

Feel free to DM me if you have any further questions. I'm always happy to help!

EDIT: This guy produces quality videos on how to start a career in Data Analytics. So be sure to check him out: Alex the Analyst

https://www.wgu.edu/online-it-degrees/data-analytics-masters-program.html

from the above page

''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
Admission requirements unique to this degree.

To be considered for enrollment in this program, you must:

1. Possess a bachelor’s degree in a STEM field, Business degree (Quantitative Analysis, Accounting, Economics, Finance, or degree with similar quantitative focus).

OR

1. Possess any bachelor’s degree PLUS one of the following:
2. Two years of related work experience
3. Relevant and current IT certification
4. Related IT coursework

''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
where do you see YOGA on that page ?

ask your enrollment counselor if one of these will get you in
https://www.coursera.org/professional-certificates/google-data-analytics?

https://www.coursera.org/professional-certificates/ibm-data-analyst

https://www.sas.com/en_us/certification/credentials/foundation-tools/base-programming-specialist.html

This just started today:

https://www.coursera.org/professional-certificates/google-data-analytics

Covers spreadsheets, SQL, R programming, and Tableau.

This is decent: https://www.coursera.org/professional-certificates/ibm-data-analyst

Covers Excel and Python instead of Tableau and R.

R, Python, Excel, and Tableau are all good for data analysis. If you're intending to do things like scrape websites or use the Twitter API to get tweet data I think Python would be a bit easier. R is great for statistics; some stuff just looks much simpler and more elegant than the equivalent in Python, but if you're not a professional statistician I don't think you'll notice so much.

Data Analytics is a very broad topic. These might be a good starting point:

Book: Customer Analytics for Dummies by Jeff Sauro

Marketing Analytics - Datacamphttps://learn.datacamp.com/skill-tracks/marketing-analytics-with-python?version=2

Google also offers a good certificate in Data Analyticshttps://www.coursera.org/professional-certificates/google-data-analytics

So Google has gone this whole "You don't need a degree anymore with us!" route. They've put out 6-month courses that they say represent the quality of learning typically found in a 3-4 year degree.

They've launched these courses through Coursera and they range from Project Management to Data Engineering. I think Coursera might set you back a few pennies.

https://www.coursera.org/professional-certificates/google-data-analytics

This could definitely be something you do after hours and smash out in a few months and decide if it's still for you. I'd also recommend pairing it up with their Cloud Data Engineer certificate for the full combo.

https://cloud.google.com/training/data-ml#data-engineer-learning-path

Then hold them to their word and see if it gets you a foot in the door at Google.

https://www.coursera.org/professional-certificates/google-data-analytics

https://www.coursera.org/professional-certificates/preparing-for-google-cloud-machine-learning-engineer-professional-certificate

https://www.coursera.org/professional-certificates/ibm-data-science?

do these 3 for a LOT less money and you'll be far better off

then add

https://www.coursera.org/specializations/mathematics-for-data-science

https://www.coursera.org/specializations/mathematics-machine-learning

Here's a list of some of the most important topics in data science/bioinformatics, with links to resources where applicable.

1. Math/Statistics. You can learn from Khan Academy. Just go through the entire course ASAP, since this is probably the most important thing you can do. After you finish the statistics course, start going through linear algebra and calculus. If you can take any of these classes in high school, then do so.
2. Programming. Learn Python first, and learn it well, and then move onto R (learn basic R first and then move onto something more data science related), Java, and C++. If you are interested in developing software, then Python, Java, and C++ will be your best options since these three languages are in high demand in bioinformatics/computational biology. Learning Python first will allow you to delve into data science more quickly, so I think it would be most beneficial for you.
3. Data analytics. There are many free courses regarding data analytics on YouTube and around the web. Google also offers a data analytics course through Coursera, but I believe you need to pay for it. Using something like Power BI or Tableau would help you understand basic data analytics concepts without worrying about the programming aspect, so you could start this now with no issues. Although, I would recommend studying statistics a bit first.
4. Data management. Learn SQL and MongoDB. You need to keep your data organized. If you take Google's Data Analytics course, then you will learn SQL anyway.
5. Biology/chemistry. Make sure you take some genetics courses, learn about organic chemistry, and study stuff like DNA sequencing and next generation sequencing.
6. Cloud computing. Amazon Web Services (AWS) or Microsoft Azure. For the extra big job you don't have the computing power or storage space for, you can set up virtual machines on a cloud computing platform.

Prioritize math, programming, and biology. There should be a lot of overlap with math, biology, and chemistry and your normal school work. When you take these classes, pay attention well. Math and programming are probably the most critical elements of data science, so worry about those first. Start learning Python if you haven't already.

As for laptops, as cliché as it sounds, the gaming variety will offer the best performance for your dollar. With business laptops, a lot of the premium is spent on the sleek design that fits easily into a bag. If portability isn't that much of a concern for you, then you should spend your money on a laptop that prioritizes performance. Something like the Dell G3 would probably be a good option for you. You can always upgrade RAM or storage if you need to. Just make sure you are getting a quad-core CPU. Many laptops have "mobile" versions of the CPUs that are only dual-core, which saves on battery but at the cost of performance. Most data science projects you will be doing for a while will be small in scale, and these basic gaming laptops will be more than enough to handle what you want to do. If you need more computing power, then you can always set up a virtual machine on AWS or Microsoft Azure.

I'm stoked people like you exist. I didn't really find much out about Bioinformatics until after I had graduated with a BS in Bioengineering. It's good to see the youth fired up about truly meaningful topics and taking the initiative to learn. That's huge.

If you want to get into any kind of development field (web/movile/games/software), start with CS50 @ https://www.edx.org/course/introduction-computer-science-harvardx-cs50x

If you want to get into development but CS50 proves too challenging at first, start with CS50 introductory course @ https://www.edx.org/course/cs50s-introduction-to-programming-with-scratch

If you want less programming, you can get into Data Analytics @ Google's https://www.coursera.org/professional-certificates/google-data-analytics

or IBM's @ https://www.coursera.org/professional-certificates/ibm-data-analyst

If you want to avoid programming altogether, you can get into Quality Assurance, there are many QA exams for which you can prepare with different courses on Udemy or even Youtube. First you'd learn Manual Testing, then you'd do Automated Testing, and so on.

There's also Cybersecurity programs and certificates, for example @ IBM's https://www.coursera.org/professional-certificates/ibm-cybersecurity-analyst

There are also: Cloud computing, Machine Learning any many more other fields to get into. Just read up and see what you like.

Esse é o case.

Eu estou estudando no momento Python por essas fontes aqui (essa, essa e essa).

Eu também estou realizando esse curso. E quando terminar esses pretendo começar esses aqui (1, 2, 3 e 4) eu digo que pretendo, pq já fiz o pedido de auxilio financeiro do courseira só estou esperando aprovação.

Fora isso eu tenho alguns livros aqui comigo de algebra linear, matematica discreta e estatistica que foram bastante recomendados e eu baix.. aluguei na loucadora do Paulo Coelho, e eu estou acompanhando um curso de estatistica da USP.

São todos cursos gratuitos, mas estou curtindo bastante, especialmente esses do Coursera que parace ter um projeto aplicado para portfólio.

Mas digo que estou estudando isso a 1 mês mais ou menos, mas as coisas ainda não clicaram comigo ainda não.

Here you go

SQL

https://www.udemy.com/course/the-ultimate-mysql-bootcamp-go-from-sql-beginner-to-expert/

Python

https://www.udemy.com/course/complete-python-bootcamp/

Tableau(this is the software I use for the graph)

https://www.udemy.com/course/tableau10/

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Apart from the above, these are also good courses

https://www.coursera.org/professional-certificates/google-data-analytics

https://www.coursera.org/professional-certificates/ibm-data-analyst

https://www.coursera.org/specializations/pwc-analytics