Data science courses reddit The web is full of thousands of articles, recommendations, blog posts, reviews and ratings about different courses and certificates in data science. Introduction to Data Science in Python: Provided by the University of Michigan IBM's courses have dull, corporate-like slideshows with inauthentic voiceovers. I looked at it, saw 4. Name of the course: The Data Analyst Course: Complete Data Analyst Bootcamp by 365 Careers. It has a 4. Or check it out in the app stores Bought two courses, thanks! Data Science A-Z™: Real-Life Data Though I have the years of experience, coding skills and took some short-courses on ML/data science here and there I never actually took a full-length DS/ML dedicated course and nor have I used ML at work so decided to enroll in this course to help me learn ML in a deeper sense (no pun intended hehe). This course is beyond anything at its price point and certain concepts are covered in none of the bootcamps. Even thought the lectures were good the assignments were not on the same plane. The online course offered only cover aspect of it. From serious discussions, advice-guidance, suggestions to memes & shitposts everything is allowed here. These are the top 32 Data Science courses found from analyzing all discussions on Reddit that mention any Udemy course. I took up a course on introduction to data science in my University (tier 1). I imagine the future would be “insert word here” and science attached to the back end of it. I know there are a ton of free resources and certificates, hence I'd like to know if there is anything you would actually recommend paying for. I did a couple of courses in the micromaster back in the day. The IBM Data Science gives you basic data analysis skills, but is targeted towards Data Science so you're looking at statistical analysis of data as well as Machine Learning. UpcodeAcademy offers an introductory Data Science course for $600 (currently on sale at $200). Dec 7, 2024 · Discover the ultimate guide to advancing your data science skills with our curated list of 400 data science resources. Very worth it. You can try out my 12 months course on Data Science and Machine Learning. I can't speak for his Data Science course as I own it but haven't completed it, but I highly recommend his courses. Everything on the web and internet is data! Computer Science helped lay the ground work for Data Science. Dedicated to web analytics, data and business analytics. scikit-learn released version 1. 7. Just pause for a second and think of the word Data Science. In his 6-Month Data Science Roadmap video, he mentions a course he sells called Data Science Masters with a 7-8 month duration ($50), which goes over a lot of topics Dec 27, 2019 · Our pick for the best intro to data science course is… Data Science A-Z™: Real-Life Data Science Exercises Included (Kirill Eremenko/Udemy) Kirill Eremenko’s Data Science A-Z™ on Udemy is the clear winner in terms of breadth and depth of coverage of the data science process of the 20+ courses that qualified. edu/ to see how previous students rate the class and whether they liked the professor (it's a little I'm reading a good book on data science right now. I'm not sure if I should do the concentration in data analytics or business analytics I see some programs offer. The data science dept is coming out with new courses in data engineering, linear algebra "for" data science, forecasting, and a machine learning course tailored towards data science majors (to be fair this ML course is actually a probabilistic inference + a bit of ML). It is the science of data. They are promising 8-10 lpa after completion of course. Yet some people find the need to run a survey on reddit that 15 people take part in. Focus on this free Data Science course and check if it's good for you. Website: https://thecuriouscurator. Moreover, companies in India do not have well-defined roles for data scientists. Iam also starting to learn Data Science, So that why I collect all of these. I mean this in the sense of having the right mind set for solving difficult problems. Researching and choosing courses that align with your specific interests and career goals is important. The issue is I have time and attention constraint. Aug 29, 2024 · Best Python for Data Science Course for Beginners (freeCodeCamp) 12 hours: Best Introduction to Data Science and Its Applications Without Coding (DataCamp) 4 hours: Best No-Coding Data Science Course for Non-Technical Business Professionals (Johns Hopkins) 8 hours: Best No-Coding Data Science Course on Process Mining (Eindhoven Tech) 22 hours A space for data science professionals to engage in discussions and debates on the subject of data science. However, I have completed lot of internal courses (courses provided by my office) in Data Science/Machine Learning. 4. A community for BTech and Engineering students. From my own experience, data science is 80% data cleaning and organization, and the advanced stuff (really fancy stats and/or ML) is at best 10%. Could anyone reccomend me a course/specialization that I could take to further my knowledge of data science after 365 Data Science? Here's the link for reference : The AMD Technology Bets (ATB) community is about all related technologies Advanced Micro Devices works on and related partnerships and how such affects its future revenues, margins and earnings, to bet on its stock long term. If you look at the admission While browsing Reddit, I saw this Youtuber name Krish Naik mentioned various times, and how he has helped many people get a good understanding of Data Science and Machine Learning. Can I get a brief roadmap for the CS courses on where to start from and what are the courses that will be useful to me so that I don't waste time. It is an emulsion of many fundamental concepts from different fields. There are 4 courses total in that series but you can take each individual. OR, you need skills and internships in ML/Data Science. ucsd. At your current position do you have experience on the data engineering side of things? Like ETL, data pipelines, manipulation, data warehousing, etc? It seems that most data engineering is becoming the more in-demand field and some DS positions are requiring people with both the DE/DE skills. 90% of people interested in data science are more suited to be data analysts than data scientists. Hi all, As a person who's first exposure to data science was on Coursera, it has a somewhat special place in my heart. Yesterday, there was a top post on this sub on 30day trial IBM gives for its data science courses, specializations and certs. They are good and hard, it took me at least 10h/week per course. Deploy them across mobile, desktop, VR/AR, consoles or the Web and connect with people globally. I specifically did the Statistical Inference and Regression Models class and liked it. Wherever I look for the things most important in Data analysis, Python stays at the bottom A subreddit for women who work in, about, or around science (or would like to!) Career and scientific discussions, victory celebrations, gender politics, mentor issues, grad school, racism, sexism, bigotry and systemic bias. Done a few courses in data analysis and spreadsheets that paid for themselves doing freelancer side gigs (while stay at home mom) then I recently completed the data analyst career track. Python Sorting and Searching Algorithms. Really like aporoach from google that teaches the thought process of analytics. You can learn a lot of stuff for free on this channel: Data Science for Beginners. Also you can have certificates for all of those courses for $49 per certificate which at the end makes cheaper than most of the online courses and academies. Basic Python Syntax of course. I just try to solve problem in websites like HackerRank, HackerEarth and more websites plus I just try to finish some small projects in the morning and evening I go to the Data Science tutorial section. At a certain point a few years ago universities started rebranding their business intelligence departments into data science. Then you can take Courera's new lecture on GANs. This is why having a github of personal projects are so important. Linear Algebra. In case of "Statistics and Data Science" MicroMasters from MIT on EdX. What you need is a Mtech in Data Science or ML. Explore LSI keywords like data analysis, AI tools, and predictive modeling to enhance your expertise. I took a number of courses from the University of Michigan in Data Science, and Python, one called Applied Data Science with Python (it's a multi course specialization), the second course in that series is Applied plotting, charting and data representation in Python. Python for Data Science and Machine Learning Bootcamp Did it myself and was pretty good. I took his course on Flask Restful and I found him to be an excellent tutor. Get involved in some of the online resources on YouTube (Base concepts: 3 Blue 1 Brown, StatsQuest), GitHub projects or online discussions (Daily Dev). In my experience, his courses go from beginner to intermediate. Hi. I'm considering spending $100-150 on either courses or subscribing on a learning platform. Introduction to Data Science @coursera. There's a paywall on EdX after a few weeks into the course if you're not paid subscriber to the course. Calculus. You are not treated as a IIT student lol. e. If you are new and not so sure about data analysis, I would say 120$ is a reasonable price for what the course offer. Higher chance Posted by u/Ashfan007 - No votes and no comments Data science just isn't really an entry level position. Already mentioned, ChatGPT is going to be able to give you general context. If you want a course from the perspective of a senior applied scientist, then atleast explore the website. I'm a professional developer for almost 20 years now, and at one point I had an interest in data science. Data Science Math Skills, Duke University (course) Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. . Ive had premium just over two years now. I then started Stat 110 Harvard, that wAs a tough course but taught a lot. I have sql and excel on the table as well. the largest community on reddit discussing education and student Realistically you are not going to be able to take a course online and become a Data Scientist. I took a Data Science specialisation on Coursera, finished it, but ended up never worked on any data science projects. in The top Data Science courses on Coursera found from analyzing all discussions and 2. ai's courses on Coursera. I imagined data science to be less theoretical math and more practical applications of math (i. Data science programs on the other hand can be a bit of a mixed bag, and I’d make really sure that the program you choose prepares you for the kind of work you want to do. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists. Google Data Analytics Professional Certificate: Focuses on foundational analytics skills using SQL and spreadsheets. You can learn the Maths on Khan Academy! The one with the Microsoft name on it (Of their "Data Science" track) is actually Datacamp, and it's crap. I recently got a BS in Data Analytics. 200 covers inference which is essential for any quant/data science work, you will need to know things like p-values and hypothesis testing and apply inference into case studies, 75% As an undergraduate you have an opportunity to make a data science portfolio rivaling those in companies thanks to resources like industry office hours, UCSD librarian, Geisel and access to academic datasets, classes like COGS 108 for project building and more A facet of our data science major is the opportunity to specialize in a domain. Related Science Data science Sciences forward back r/datascience A space for data science professionals to engage in discussions and debates on the subject of data science. 1. The Open Source Data Science Masters. A more suitable alternative for you could be pursuing a data analytics course instead of data science. If we were hiring a data scientist with no work experience I would pick the one These are just a few examples of advanced data science courses available. I wish “Data Analysis” was more trendy than “Data Science”. This thread alone is data. Currently an operations manager, although i work with data on a daily basis as well, i am no where near a data analyst. That's a great start. 0 which had major changes at the time the second course was launched. I'm a data science major - I think the DSC course staff are mostly pretty friendly and supportive, and there are a few standout wonderful profs, especially in the lower division classes! For any class/prof, you can always check https://cape. Some courses are good with very knowledgeable instructors and coherent assignments, while some are horrible, because the courses are designed by different instructors. Now, you can end up in a place where that 80% is more data shit shoveling than anything else. I find that people who like research and heavy programming are the ones who become actual data scientists. We would like to show you a description here but the site won’t allow us. You get what you pay for, while the udemy course is around 10$/€, Ng's course is a little more expensive if you want the cert and assignments but it very much worth it imo. There are free courses at Harvard that can help you learn Data Science. Members Online Engineers talk about coding "close to the metal". Regarding Harvard, which course from them are you referencing? I do like their data science certificate, which is in my data science course article. 2. These classes taught me what statistics is really like, and showed me all the parts of data analysis I missed in my first four years of taking AI classes only here. #1 Python for Data Science and Machine Learning Bootcamp Course Here is the list of free data science courses. I am ready to work hard and even satisfied with low package but their promises seems too good to be true. It's very hard to do meaningful work if you have no grounding in a domain-specific theory (eg, some social or physical science). Did it help in your resume or getting an… Don’t pay. Get the Reddit app Scan this QR code to download the app now. Each "course" in this certificate is actually equivalent to a weekly lecture from a course like cs50. It's worth a shot. 6. IBM Data Science Professional Certificate: Comprehensive program covering Python, data visualization, and machine learning. Saying you finished a Udemy/Coursera class/certificate isn't worth anything to anyone, whereas if you say "I have a bachelor's from Harvard," it is. the videos are simply the instructor reading off the script and the videos are sped-up typing. Expertifie’s Data Science Certification offers a well-rounded and practical approach, making it a worthwhile investment for aspiring data scientists. This choice might open up more job opportunities for you. It's a good specialisation otherwise, but it requires a lot of independent research and reading up documentations yourself. Introduction to Data Science by Jeff Hammerbacher at UC, Berkeley. Barrier to entry for online courses is far less than physical courses. From machine learning tutorials and Python libraries to datasets and online courses, this comprehensive collection includes everything you need to master data science. There are so many free resources. Thank you to the faculty for a most rewarding and enjoyable learning journey! No the IIT tag doesn’t help anywhere, its really difficult to do the diploma courses alongside offline college. com all courses (including prerequisite courses) are available on the MIT's OCW website (with the exception of "Data Analysis for Social Scientists" course which is available on EdX. I've done them all! So here is a mini-review of each CS50x (Harvard's Introduction to Computer Science) This is the CS50 course that everyone knows and loves. Some Probability and statistics. It's very math heavy, you should be well versed in statistics and linear algebra. Data science courses on Coursera offer a variety of credentialing options: Professional certificates that demonstrate comprehensive data science skills; Specialized course certificates in areas such as machine learning, business analytics, or data engineering; Certifications from leading technology companies and academic institutions That's true. That's because DS is vague lol. 3. The MIT courses are challenging because rather than spoon feeding you “plug and chug” algorithms for solving data science problems, they dive deep into the mathematical logic and techniques behind why the algorithms do what they do. You will need to look up postgraduate courses in data science/AI and see if they have BCA as eligibility 365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. Just starting learn python last month Nov 1st. I did a bootcamp for data science as well and pivoted to data analyst after I realized people with phds in math and computer science are getting passed over for people with 10+ yoe and that PhD so little ole me with my bootcamp cert wasn't getting shit. If you're excited by projects such as GANs, I'd recommend looking at Fastai, and / or Coursera's deep learning specialization first. With a focus on real-world applications, the course covers key concepts like statistical analysis, machine learning, and data visualization. I'm totally new to Python, have a basic knowledge of SQL and R language though. While Harvard EdX's Data Science Certificate may have mixed reviews, Hero Vired's courses seem promising and could be a worthwhile investment for your gap year. Has anyone here completed the web development, data science, programming with python etc. The courses in them do progress to intermediate. 5-star weighted I have gone through the entire courses for the certificate. Microsoft Certified: Azure Data Scientist Associate: Validates skills in data science using Azure A space for data science professionals to engage in discussions and debates on the subject of data science. For me, the presentations really kill the excitement of learning. This data is often used to fuel targeted advertising, algorithmic optimizations, and predictive analytics, all of which generate significant profits [16]. Data science is WAAY more difficult than data analysis. If you are a mid-career switcher and do not have relevant data experience, network around via LinkedIn and apply directly through the DA employees in the company with your data science project/ portfolio as reference. So I was new to data science and worked through Datacamp's 28 Course Python for Data science career path. Tbh, it should probably be copy/pasted because questions like this pop up on all kinds of career specific subs, data analysis/data science/computer science/programming/etc. He uses technical jargon and refer to concepts that were not taught but are necessary to understand him. A space for data science professionals to engage in discussions and debates on the subject of data science. You don't want to be in a place like that. Online learning platforms like Course Avatar, Coursera, edX, and DataCamp offer advanced data science courses by industry experts and leading academic institutions. The main thing to realize is that both are not equivalents. Members Online Advice for a recent college graduate who majored in Computer Science and Statistics looking to start a career in data? The top Data Analysis courses on Coursera found from analyzing all discussions and 2. Data science especially requires a lot of math, companies actually hiring for data scientists and not those who just do "data analysis" all day and use predefined models focus on hiring people from top colleges with math/stats background. I am wondering if this course would be useful to further my career or if I caj get better ROI on online courses from Coursera/edX. Unity is the ultimate entertainment development platform. Yeah it’s tough out there to land a DS position. I started with an econometric background, and then used Jose Portillas "Python for Data Science and Machine Learning" Udemy course as a starting point to teach me the ML tools. Good luck on your journey into data science and Evolutionary Biology! I have an MS in data science, working as a data analyst and considering getting an MBA. It's a great platform which also provides an option of job guarantee, however it's definitely pricey for someone who's not concerned about getting a job as a associate DS, but for now it's more of exploration thing that I want to see if I like this DS. Data Science Fundamentals – IBM 5. I was fluent with most of all that stuff but when it came to doing interviews for Data science positions, I knew very little of what they were talking about. Use Unity to build high-quality 3D and 2D games and experiences. Motivated as I was I continued with the Bioconductor course of the specialization and didn't finish it If you're completely fresh and want to really understand data science I'd look into some online University econometrics courses. Second part is focused on data science using sci kit learn, nltk and keras. I now manage a data science team, and from what I've seen I would highly encourage a masters of stats or computer science instead of data science. since then, i have been working at a private firm and currently have a CTC of around 4. Applied data science with Python (UMich) requires a lot of self-study. There are also projects in the different technologies and career tracks to apply your learning. Whilst not data science specifically a lot of modern data science either comes directly from econometrics or is close enough that a sound base knowledge in econometrics makes it very easy to pick up with YouTube We would like to show you a description here but the site won’t allow us. There are plenty of courses on edX or coursera that can get you a certificate for a pretty low fee. Highly recommended for anyone interested in applied data science! The MIT No Code Al and Machine Learning: Building Data Science Solutions course is a brilliant programme which is rigorous both in terms of theoretical foundation and practical application. I'm wondering if anybody has taken it before? I'm looking to get some learning resources (and if they offer a certificate that's a plus) for data science. Data Science and Machine Learning Bootcamp with R: Offered on Udemy, this course provides a hands-on introduction to data science using R. I know at least two people who got into their current roles (data science/ML at startups in the UK) partly because they did online courses. Funny thing is I just bought the course "The Data Science Course 2019: Complete Data Science Bootcamp" by 365 for $11. org Start by learning how to code, then take Andrew Ng's machine learning course. Just spend time on leetcode + projects rather than the nptel courses you get by paying so much money. Here's the situation: In 2018, due to financial issues in my family, i had to drop out of college after completing my 12th grade. Intellipaat is selling me their 7-8 months data science course for 55k with Job guarantee. I've taken Andrew Ng's original Coursera course and have tried stuff on Kaggle, but wanted to take a look into a more thorough data science learning I am looking to apply for one-year master's programs in Data Science for Fall 2023. Try out the Coursera on Data Science. The rest is non-fancy statistics. Please suggest me some one-year DS programs at safe or moderate universities. 6 and 4. I believe what makes Dataquest effective is that the courses/subjects all builds upon each other as you get through the Data Science path. For smaller companies/startups, as a DS you will usually do everything in a Data Science project, from extracting data (Web scraping, creating ETL pipelines, querying from database/data warehouse/big data ecosystem), feature engineering, data modeling/machine For everyone that dont know: 365datascience gives free access to their courses for few weeks. Data Science Essentials- Microsoft. Something to note is that the daily work of a DS will depend on the size of the company or data team. The thing that you should be aware of is that, much like programming, certificates/degrees don't hold as much weight as demonstrated ability. Hey friends, I'm currently enrolled in a Data Analytics course which requires me to have an intermediate level of python knowledge. So currently 365 data science offered its courses for free and I am on track to finish them by april 15th. i would reccommend to complete and quickly move to growing your portfolio with additional projects. See full list on freecodecamp. Hi, I just finished my first year of Uni and I'm majoring in Data Science & AI. After MCA, you become a software engineer, not a data scientist. It was a very smooth entry course, probably too easy. There are certainly good MSDS programs out there, but 90% of hiring managers aren't interested in discerning which is which and will write them all off on a resume unfortunately. The learning pathways are just multiple courses strung together - not necessarily coordinated - I have done the ones on Python For Data Science, Data Analytics in Power BI, Introduction to Machine Learning and I am now doing the one on R for Data Science. I did the first course from the John Hopkins Genomic Data Science specialization and really liked it (one can easily finish it during the 7 day test period). Degree courses start at intermediate or advanced, so you should have completed at least High School (or equivalent) for Bachelor's degree courses, and some college-level for the Master's Degree courses. Therefore most of the code relating to scikit-learn is depreciated in the second half of the earlier course and more or less works okay in the second half of the newer course on Thanks so much , I did have a look at it. I have shortlisted the below courses, but all of these programs are highly selective. less theorems and proofs and more collection of data, real-world usage of calculus) compared to a math course, but with added computer science courses. This is a good course. Im currently taking google’s in coursera and python for data science in data camp. It’s great opportunity to learn statistic, SQL, machine learning and tools that are use in data science. I mainly use excel to clean data from a marketplace, for things like pickinglists, 30 day stock that needs to be imported. You generally need a computer science, or math bachelors and then a masters in data science (or another computational field like cs or math), or many years of experience working in a related job. 99 at Udemy. You need to focus on Calculus 1-2-3, Intermediate Stats & Prob and Linear Algebra too. The Johns Hopkins Data Science Specialization was a great way to get myself introduced into the world of data science, and the further I got through the course, the more I felt like I wanted to do this for a living. Exploitative Data Harvesting: Data has become the lifeblood of the digital age, and technology barons have amassed colossal amounts of user data through their platforms and services [15]. Also, the challenges/guided projects provide just enough difficulty where you are forced to ask yourself questions and then seek out the answer either through their online community or stackoverflow. It covers essential data science concepts, statistical analysis, machine learning algorithms, and data visualization techniques. They have math for data science specialization which features probability and statistics. It's one of the many reasons that "data scientist" isn't an entry level gig at most places -- you need to either have that theory in formal training (eg, econometrics at University), or have worked on real problems somewhere. I just finished the Foundations of Data Science course (course 1/4) and I generally agree with your post, I expected a higher quality of education considering I initially started with the TMU Python for Data Science course (they have a similar certificate) which was honestly really good and was delivered by actual professors/PhD's. I did pay for the course, and although I never used it professionally, I think it was worth it. Note : I am a working individual with almost 2 years of experience in support. 7 million upvotes on Reddit that mention any Coursera course. 7 star averages and courses with interesting titles and syllabus so I decided to take it and try to power finish it, since I already have some experience. I took a combo prob/stats course for my bachelor's but remembered little besides the foundational concepts. What I listed are just examples. We're here to discuss analysis of data, learning of skills and implementation of web analytics. General tips Background: In August 2021, I walked away from a systems administrator job to start a data science transition/journey. Of course I We would like to show you a description here but the site won’t allow us. MIT also offers pathways to other program after completing the MOOCS, even a pathway to PhD at MIT after their data science micromasters. Here is the list of free data science courses. Harvard CS109 Data Science. I would say they are technically lightweight. Check out deeplearning. People have their criticisms for courses like this, but the reality is the marginal utility per dollar is amazing. While it's important to take courses and get certified, don't forget to build yourself a data science portfolio. My MS program was focused on computer science and statistics courses, not really presenting or dealing with a client. Data science is more interdisciplinary than you can imagine. Data science encompasses much more than that and is quite complex and math-heavy. I like this program because it’s not that long and not terribly expensive. You can also just take courses on skills you want to focus on like SQL, PowerBI, Tableau, python, and R. Members Online Rant: ML interviews just seem ridiculous these days and are all over the place A space for data science professionals to engage in discussions and debates on the subject of data science. It can definitely help to get your foot in the door with companies with a more open-minded hiring policy, as long as you perform well at interview and can sell yourself on your CV (good evidence of personal The second half of the course is where the two course differ. The teaching quality is not great in the final 2 or 3 courses. The course I'm referring to is this one. I started this but half way through the course I realized I could not solve the assignments. In the Flask Restful course, he devoted the entire first section to Python. the assignments are the main way you'll learn (on your own). However, being able to rigor through challenging problem sets during engineering school set me up for success. Notation for math concepts. 8 lakhs. Oct 25, 2023 · How to learn data analysis skills: Reddit data advice; Which data programming language to start with? Tips from Reddit; Data analysis coding resources: Reddit data advice; How to think like a data analyst: Insights from Reddit; Final thoughts; Want to explore some of the best Reddit advice to guide you out there? Read on. The University of Michigan is a total disaster (As in, the videos are too short, the explanations are to light, and the content of the exams - that you need to actually get the certificate - are not explained at all in the course. Also a very challenging course though, not for the faint of heart especially if you arent confident with math. For example, Data Analyst with SQL, Data Engineer. At the time, I gave myself 18 months to make the transition-- starting with a three month DS boot camp (Sept 2021 - Dec 2021), followed by a six month algorithmic trading course (Jan 2022 - Jun 2022), and ending with a 10 month master’s program (May 2022 - Mar 2023). 0. The udemy course will teach you how to use some of the packages within sklearn. The thing is Coursera is offering a pi day promotion for data science also. Have a look at this courses content, it focuses on Python solely. One benefit about this course is that it includes a textbook, "An Introduction to Statistical Learning," that expands on many of the concepts of ML algorithms. Before plunging into the intriguing world of data science I suggest if you are not familiar with these concepts to do so before jumping in. Courses. I just started it but it seems good and you have lifetime access. I’m interested in taking the following course offered by Great Learning it’s called: Data Science and Machine Learning: Making Data-Driven Decisions program by MIT Institute for Data, Systems, and Society (IDSS). According to Coursera, the three specializations I suggested are "Beginner". I learned a lot despite the inconsistency in instruction, and I think I learned much more from most of the Coursera courses that also suffer from the same issue of inconsistency. This is not a good way to becoming a data scientist, the hardest part of data science are not the hard skills, but the setting up of data experiments and building real hands on experience. The Google course is more about Data Analysis so it goes deeper into the data analysis components. I don't have a very favourable outlook on it, so maybe I'm biased. Plus, Hero Vired's courses are designed to be practical and industry-relevant, which is a big plus. com fully cost free). Members Online Tech layoffs cross 70,000 in April 2024: Google, Apple, Intel, Amazon, and these companies cut hundreds of jobs That's is when the course shows its value, most of the contents are entry-level so anyone can understand, and it will give you an idea of what a data analyst does in reality. First half is your typical data analysis packages like pandas, seaborn and matplotlib. The courses. the decision that's keeping me awake at night is whether to take the plunge into the Online Bachelor of Science (BS Most people probably only know the big CS50/CS50x (Introduction to Computer Science) course, but they actually offer 11 different courses. I am finding it difficult to select one-year data science/analytics programs. wwdgobtkyusxjtbzgrqlwrtfvjviesfvfthrkzstfkbzrwv