Data analyst reddit

I just dropped out of my MA program and got a job in data analytics with no background in the field -- and it pays really well. Here's my advice, but take it with a grain of salt as you may have a different path ahead of you. Most companies only require a bachelor's degree for their data analyst positions.

8 Jun 2023 ... Build strong technical skills in data analysis tools like Python or Excel. Create a portfolio showcasing your projects. Seek certifications like ...To add to what u/common_destruct said, "specialist" and "analyst" are titles that are more company specific. At my company, they're interchangeable. We've actually begun switching from "data analyst" to "data specialist". If anything, "specialist" is used in roles that may be a bit more diverse in duties than a typical analyst; or less technically-based. My work … I began looking into other avenues I could explore such as PT, OT, Sports management, data analytics, etc. and decided on data analytics as something I felt would compliment my strengths well. Steps Taken: Since I had no experience I decided that grad school would be a good way to not only get some experience under my belt, but also to get ... Yes, this is what data analysts do with their time at most any other organization. Our job is not to code; it's to help the business make smarter decisions so much of your value is in presenting your findings and influencing decision-makers. Much of that involves taking your data and present it. I was a data analysis and actually management 10 years ago, then shifted to marketing and now want to get back to data analyst. I have a MBA and 8 plus years experience in data analysis, but have some self-doubts. Throw in around 2 … Yes. I have a no college degree data analyst on my team of 8 who worked his way up from an operational role by learning sql and python on his own and demonstrating his ability for critical thinking and ownership. However I would not hire an entry-level data analyst with no degree or work experience. 1. SanctuaryZ.

4 Mar 2023 ... r/analytics Current search is within r/analytics. Remove r/analytics filter and expand search to all of Reddit. TRENDING TODAY. Search for ...20 Oct 2023 ... You really understand the data and how it all connects to tell a story. You're the one the other DA goes to when they have questions. Excellent ...Data Analyst Associate Practical Exam DA501P. I'm starting to think there is something wrong with this data set. TASK 2 seems to be problematic. I'd appreciate your enlightenment. Clean categorical and text data by manipulating strings not passed. Source Link. Edit: It was a funny experience for me.First Online: 26 April 2023. 190 Accesses. Part of the book series: Smart Innovation, Systems and Technologies ( (SIST,volume 326)) Abstract. We can use data from social …Boot camps are worth it if you’re invested and if lothers who have taken the Boot Camp promote the specific one you’re doing. Boot camps have the same curriculum though it depends on your (contract) “teachers” and TAs on how they present the info. Ultimately it’s all things you can learn for yourself, just funneled.TLDR: • Step 1: Four year degree • Step 2: Work Experience in Healthcare (Program Coordinator, Project Assistant, Research assistant, data entry, etc.) • Step 3: SQL, Excel, Tableau • Step 4: Portfolio of 3 items. Try to make them healthcare-themed. Try to incorporate health equity in one of them.8 Mar 2023 ... How to be a self-taught job ready data analyst in 3 months. ... Took me just under 2 months. Google Data Analytics Certificate like it's your full ...His content is mediocre and you can find much better content from other paid platforms, such as Maven Analytics, Datacamp, Coursera, Enterprise DNA to name a few. If I were you, I would not pay. There are tons of free channels and videos that you can get to become analyst. Plus his stuff is overpriced.

I came across data analysis as a potential job for CS graduates which seemed really interesting to me. Especially that I have discovered that I like to code as a mean to solve a problem than to create a product. Which seemed to fit me perfectly. However, as I have seen by many people here. The majority of CS graduates here go for a SWE job and ... And from my research, it is too good to be true. The people you do see breaking into data analytics already have a relevant degree or are doing it to some degree in their current job. There are likely some outliers, but I haven’t even seen that yet :D. A lot of the “data analytics” degrees also don’t look very good. Working as a Data Analyst in healthcare makes me feel so hopeless and trapped. Discussion. TLDR; Healthcare data feels so protected and guarded that trying to do anything of value feels like such a headache. I've been working as an official data analyst for a year now at a mid size physician group with a pretty small administration team. Working as a Data Analyst in healthcare makes me feel so hopeless and trapped. Discussion. TLDR; Healthcare data feels so protected and guarded that trying to do anything of value feels like such a headache. I've been working as an official data analyst for a year now at a mid size physician group with a pretty small administration team. 26 Dec 2023 ... edit: I put the 1, 2, 3, 4 next to each answer and somehow reddit decided to restart the list at 1.

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26 Dec 2023 ... edit: I put the 1, 2, 3, 4 next to each answer and somehow reddit decided to restart the list at 1. Also lots of techies want to get into ML, Nn, etc, and data analyst is one of the first steps towards that unfortunately-- majorly diluting the field. Data analyst now are like programming jobs when they first became a thing, and lots of people recognize that. Major industry credit for being one + high pay and career opportunity. I have HCM (SuccessFactors) supported by HRIS and things like Tableau and Power BI used by Talent Analytics but supported by IT. Talent Analytics uses the data, HRIS makes sure the data is correct and does what it’s supposed to do. edit: both teams know SQL and excel very well depending on their experience but entry level I wouldn’t say SQL ...So my future salary is not so prosperous. Recently saw some opening of Data analyst, Business analyst, Supply chain analyst etc positions, the start salary is musher higher than accounting , around 5-90000. So I am a little bit interested in them too. But i concern about the job security in the long run for these type of data analyst jobs.If you want to learn and gain experience, it is one thing. Go for it. But what Amazon pays for "Data Analyst" is peanuts compared to what Data Analysts should be paid, and are paid regularly by other firms. Based on the description of the job I heard, it is INO -- In Name Only. Glorified secretarial type work, not true "data analyst" stuff.

Data Analyst Associate Practical Exam DA501P. I'm starting to think there is something wrong with this data set. TASK 2 seems to be problematic. I'd appreciate your enlightenment. Clean categorical and text data by manipulating strings not passed. Source Link. Edit: It was a funny experience for me.Business Intelligence is the process of utilizing organizational data, technology, analytics, and the knowledge of subject matter experts to create data-driven decisions via dashboards, reports, alerts, and ad-hoc analysis. This is not a generic 'business' subreddit and off topic posts will be marked as spam.This is a place to discuss and post about data analysis. Rules: - Comments should remain civil and courteous. - All reddit-wide rules apply here. - Do not post personal information. - No facebook or social media links. - Do not spam.Put those projects resume. Apply entry level job. Talk about those projects in interviews. Describe the projects logically with analytical mindset. Got jr. analyst a start up making $42k base + bonus 6 months later, got a raise to $45k + bonus 9 months later, promoted to a mid-level at $50k + bonus 3 months later, jumped ship to another company ...Skills: SQL, Power BI, Tableau, Excel, Data Modeling. 2019: $21/hr 2020:$21/hr 2021:$21.50/hr 2022:$65k salary. Yea I need a new employer. Typically you don’t stay a data analyst. Mine is 2012 data analys at bank 80k —> data modeler /analyst 2020 180k —> 2021 data engineer faang 300k. Python / R - more advance programming than Excel. You will use this for more complex or big data sets. (since there is already a trend in job market wherein DAs are also required to do manipulation specifically using Python while some companies only need a working knowledge on the subject). That is for Data Analyst. 2020- $20/hr (“Data analyst” but i really just worked in a call center and cleaned data once a week), 2021- $30/hr (new employer, nonprofit primarily used Excel), $35/hr (same employer as 2021, negotiated for higher pay). Currently taking classes and working on my programming skills so I can transition into a data engineer role. a) 100 Days of Code: The Complete Python Pro Bootcamp for 2022. b) 2022 Complete Python Bootcamp From Zero to Hero in Python. Please someone guide me in what will be the best option for me to learn Python and its fundamentals in less time. Thanks. Sort by:swdigitaltech. • 3 mo. ago. Yes it is true, a career as a data analyst is not only good but also in high demand across various industries. Overall, the field of data analysis offers …For data scientists, the R language is often the programming language of choice.R language is specially designed for the needs of data science and can be used to solve any problems encountered in data science. In fact, 43 percent of data scientists are using the R language to solve statistical problems. 3.Ten tips for learning in-demand data skills. Build new skills, push through the inevitable rough patches, and increase your confidence as a data analyst with these tips on how to meet the challenge. 1. Remember that data skills are an investment in your future. Demand for skilled data analysts is growing — the World Economic Forum Future of ...

Put those projects resume. Apply entry level job. Talk about those projects in interviews. Describe the projects logically with analytical mindset. Got jr. analyst a start up making $42k base + bonus 6 months later, got a raise to $45k + bonus 9 months later, promoted to a mid-level at $50k + bonus 3 months later, jumped ship to another company ...

Cons: Because some employers don’t know what data analysts do, you can end up in a shitty role where you’re expected to retrieve information and summarize data through counting and averages in excel (would be better if you did actually statistics in excel) —it could end up being a random job. There are data analysts jobs that are just ... I would 100% recommend you get a CS degree if it's an option to you. ebrooks775. •. If you're looking to transfer careers into Data Analytics, both a Data Analytics degree and a Computer Science degree can be valuable options. A Data Analytics degree would provide a focused curriculum tailored to the field, covering topics like data ... Have a look. : r/Udacity. Review of Data Analyst Nanodegree. Have a look. you came from the finance world, so you already knew excel and maybe sql. beginner data analyst should know excel and sql. this nanodegree dont teach it. you could find it in different udacity nanodegree - ba analyst nanodegree. so if someone begins his journey, that ...In today’s data-driven world, businesses rely heavily on the insights provided by data analysis to make informed decisions. Data analysts play a crucial role in this process by con...The cryptocurrency has rallied from $60,000 to new record highs above $70,000 in less than two weeks. The ascent has taken the shape of a “rising wedge,” …It is unlikely that data analyst roles will be completely replaced by automation in the near future. While certain tasks and processes can be automated, data analysts play a critical role in interpreting and making sense of data, which requires human judgement and decision making. Data analysts are responsible for collecting, cleaning, and ...Reddit is a popular social media platform that boasts millions of active users. With its vast user base and diverse communities, it presents a unique opportunity for businesses to ...They arrange the task rates such that it always works out to 13.38 USD per hour for me in Canada, if I can stick to the Estimated Rating Times. So a 1 minute task gets 0.223 USD, a 10 minute task gets 2.23 USD, a 30 minute task gets 6.69 USD, and so on. You shouldn't expect to be that fast at first or when introduced to new tasks or major ...EDIT for result: I ended up taking the BA role. Thanks for the input! TLDR: Marketing Data Analyst using tools like Amplitude, Segment, and Customer.io to work with clients, present to stakeholders, help drive growth at their companies VS business analyst using tools like SQL and spreadsheets, gathering business requirements, working with/presenting to …

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I’m trying to make the switch. That’s interesting to hear. Have had difficulty making the finance roles work with OE due to constant meetings, ad hoc work, and unscheduled calls. I always assumed data analyst roles would be too heavy on workload, but maybe that’s tainted by my time in econ consulting.r/data_analyst_analysis A chip A close button. Get app Get the Reddit app Log In Log in to Reddit. Expand user menu Open settings menu. Log In / Sign Up; Advertise on …They also advertise that the average data analyst makes 69,000 USD. Thus making someone with low income see a solution to earning a great salary. This average is double the amount of the median income in 2019 or 31,000 USD. (Credit: United States Census Bureau) My second belief is self trained Data Analytics. You see countless stories of …I was hired so they could have a data person. Half the time they call me a data scientist, the rest of the time it's either data analyst or data guru. But they have only a teeny amount of data with a ravenous hyena guarding it like gollum with his precious. They pay me decently to rot away doing nothing. No access to data and no access to ... I think the types of questions asked during an interview depend on the company (what they do). It is said that probability questions are not being asked in the data interviews more than 3% of total questions. For preparing data analyst interview, I recommend stratascratch. It was really helpful when I was practicing for my interviews. Add a Comment. Glotto_Gold. • 2 yr. ago. Depends on your type of job. There's a real split between more business-facing roles, and more data-facing roles. The former favor extraverts, and the latter are good roles for introverts. It also depends on your company. Some company cultures have different expectations. 7.mygatito. • 1 yr. ago. Yes there are opportunities. The first thing I recommend is to apply for jobs in your area and when you get interviewed ask them if you can work remotely. Companies still prefer the old approach and sometimes want to interview in person regardless if the opportunity is remote or not. The first place to look for remote ...If you want to learn and gain experience, it is one thing. Go for it. But what Amazon pays for "Data Analyst" is peanuts compared to what Data Analysts should be paid, and are paid regularly by other firms. Based on the description of the job I heard, it is INO -- In Name Only. Glorified secretarial type work, not true "data analyst" stuff. Like others are saying, cloud certs are great. Also data viz ones such as the Tableau series of certs. And then the Tensorflow developer cert. with the cloud certs, pick a series and get them all. AWS or Microsoft would be best since those are the largest in the space. Coursera has some great MOOCs. Are you considering a career in data analysis? If so, it’s crucial to equip yourself with the necessary skills and knowledge. One of the most effective ways to do this is by enroll... ….

r/dataanalysis. • 2 yr. ago. SantaOMG. What is it like being a data analyst? Hard? Creative? Boring? Career Advice. I am a help desk technician and need to get more …r/dataanalysis: This is a place to discuss and post about data analysis. Rules: - Comments should remain civil and courteous. - All reddit-wide rules…Outline the main tasks of a data analyst: identify, collect, clean, analyze, and interpret. Talk about how these tasks can lead to better business decisions, and be …Are you interested in becoming a data analyst? With the increasing demand for professionals who can make sense of complex data, now is the perfect time to embark on this exciting c...A Data Analytics degree would provide a focused curriculum tailored to the field, covering topics like data visualization, machine learning, and data management. On the other hand, a Computer Science degree would give you a broader foundation in programming, algorithms, and software development, which can be beneficial for advanced analytics ...Analytics Vidhya. Whereas someone could spend hours surfing through Reddit’s Data Science forum, those who need a quick answer to a straightforward …I was a data analysis and actually management 10 years ago, then shifted to marketing and now want to get back to data analyst. I have a MBA and 8 plus years experience in data analysis, but have some self-doubts. Throw in around 2 …How to learn data analysis skills: Reddit data advice; Which data programming language to start with? Tips from Reddit; Data analysis coding resources: …The data provided by SBI only begins in April 2019, but SBI sold the first tranche of bonds in March 2018. "A total of Rs. 2,500 crores in bonds are missing from … Data analyst reddit, [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1]