If business people think you're smart enough, they'll invite you to sit at their table. Figure out which learning style helps things stick more and take the course. How can you help solve our problems? Johns Hopkins Data Sci specialization and the UCSD Big Data specialization are two course listings that pop out to me. By using our Services or clicking I agree, you agree to our use of cookies. Will shoot you a message! With a mix of cautious optimism, careful preparation, and strong desire to convene on our campuses, we are planning to resume in-person, on-campus academic and residential offerings this spring to the greatest extent possible.". Because the numbers regarding new COVID cases are not looking good right now. Johns Hopkins Data Sci specialization and the UCSD Big Data specialization are two course listings that pop out to me. Every quarter in my program people land positions with FANGs or other Fortune 500 companies . The videos are very theoretical, which is good if you want to get into academia. If not, you're stuck as a code monkey. I'd ask for feedback from people who've taken the courses themselves and try to make an informed decision. hot. Press question mark to learn the rest of the keyboard shortcuts. Cookies help us deliver our Services. The Data Science Master’s degree at the Johns Hopkins University will provide the training in applied mathematics, statistics and computer science to serve as the basis for an understanding, and appreciation, of existing data science tools. I am Senior Software Engineer in the Bay Area, and looking to get myself a Master's degree. I've had like four in a year, despite a pretty solid background in math, programming, and data analysis. The short version I'll write here is that it seems directed at beginner programmers who want to capitalize on the boom in big data hiring. This is for everything from engineering, systems, and computer science. Come here to post and see news related to all facets of the … Press J to jump to the feed. True or not, I'm at a crossroads as to which one to pursue. hot new top rising. Subreddit for all things related to the Johns Hopkins University and affiliates. Machine learning. The primary reason I'm doing my masters is because my employer gives 100% compensation and is supportive of my student schedule. Online learning requires a lot of discipline. So if you wanna spend all that money, go for it! I really liked how you talked about your approach to learning coding and analytics My friend’s son is pursing his CS degree and I will pass on your advice to him. Everything you can learn at JHU can be self-taught for free online. Earn your degree on your terms at Johns Hopkins Engineering for Professionals. I've read a Naive Bayes white paper, wrote my own implementation using a Kaggle in the class room dataset, and went through it in two different talks. A couple things to keep in mind: 1.) Considerably under the $50k+ price tag for the data science programs. You will get more direction on how to accomplish a task. They aren’t offering them out of the goodness of their hearts. Talking about the data collection, the cleaning, the modeling, the relationship building, and the implentation...that's what people care about. Close . With a background in social science research I'm inclined towards working in a space where non-profit meets data, but I'm comfortable working within the more traditional technical space provided it's within the realms of "data engineering" (as I understand it). A lot of advertised jobs list a master's or PhD requirement. Outside of networking, finding folks in the community who do work I may be interested in, I want to pursue learning to help fill in the gaps. Higher-learning EDU is expensive (JHUCBS is one of the more expensive schools for sure), 2.) SO YAY spring semester is in person (which will probably change in January). top. How did you get all those interviews? Mostly it's redundant in terms of what you'll be doing with it, but some places are more R oriented or use a mix so knowing some of both expands your opportunities. Come here to post and see news related to all facets of the Johns Hopkins universe. For taking it to the next level: Statistical inference. Pretty sure those companies aren’t looking down at the degree if they actively recruit for it . I want that college experience with a great group of close friends, but I don't know which dorm, AMR II or a more suite-style dorm, would be best for this. Would build off of your Python background. I don’t know about you guys, but one day breaks aren’t breaks at all in my experience. Texas A&M and Arizona State both have masters in statistics programs for under $15k, for example. With this assumption, what do you guys think is the best option for housing for freshmen? 115. New link. User account menu. After you finish graduation you are well set to learn anything by yourself and I would only engage into a Master's if the title was required by the employer. I doubt you'd get much out of it. Posts spammed to many college or similar subreddits, Press J to jump to the feed.

card. Science. That’s all degrees, not just online degrees. People always want to know How does what you've done apply to me? We are the Data Science Team at Johns Hopkins University (Brian Caffo, Roger Peng, Jeff Leek) that created the JHU Data Science Specialization and the Executive Data Science Specialization on Coursera! Your submission has been automatically removed because you are new to our community, spend more time contributing with your comments before posting. I've been the Head of Digital Marketing for Groupon's (previous) food delivery service (OrderUp, which was also HQ'd here in Baltimore) and I've played with literally petabytes of data. Press question mark to learn the rest of the keyboard shortcuts. A degree in Data Science itself can be a mixed bag. Press question mark to learn the rest of the keyboard shortcuts. I disagree, CS is the least pigeon hole type degree there. I already have my CS Bachelors. I'm going to hold onto the measly straw of hope that we will actually go back and JHU won't pull a fall semester on us. Sure, you will absolutely learn a lot about a lot of things, but depending on how old you are, I'd say you probably won't apply about 70% of what you learn from this program in real life scenarios. The alumni network and prestige should mitigate any concerns you might have about finding a job. I know a lot of people made friends over zoom this semester but, no matter how much I tried, I wasn't really able to form a solid connection with anyone. I'm trying to get a really great social connection with people and try to make friends. I must say I’m surprised. Okay, now it's necessary again. My second point is based on my own job hunting experience.

Those two will give you a super quick crash course in R. You can probably knock them out in a week or two if motivated. This plan would mean that students get no true breaks during the Spring semester. That sounds great - would love to move this conversation offline.

Someone with an MSBA could become a Data Scientist but then go on to the business side of Analytics, and someone with an MSCS could transition to a different field more easily (such as Software Development or Cybersecurity). Maybe I was being too pessimistic. When it comes to online programs, JHU is both rigorous and expensive. I know I made a long post about how offline classes aren't gonna happen next semester, but I'm happy to announce that I was wrong! Here are some schools I have found for Computer Science or Data Science. It appears to me the former may be more academically minded whereas the latter is more professional minded. Does anyone have any insight for what may be better? The JH track is R only and most reviews say the content is quite introductory at best. And yes - a thoughtful Reddit user informed me I left off the "S" on Johns in the title. Otherwise I would navigate and learn everything on my own. There are a lot of online masters programs that would satisfy this educational requirement that are considerably less expensive. A place for data science practitioners and professionals to discuss and debate data science career questions.

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