2. level 1. PizzaAndWine99. · 1y. I just posted this on this sub, but udemy has some data science courses and they’re 90% off (around $10 per class) through 8/27. It’s a good low-cost option. I’m taking the Python bootcamp course and it’s good so far. 2. level 2.
The big difference (apart from Datacamp being more popular) seems to be that DataQuest has a strong focus on following a set pathway - the courses were designed to follow one after the other in a specific order. In DataCamp the courses were designed independently then later stuck together to form "paths", presumably to emulate DataQuest.
Dataquest Python courses are free this week. Resources. Just wanted to let everyone know that in honor of Pythons 31st anniversary all Dataquest Python for data science courses are free this week. It's a great time to check us out and see if our no video, coding on day one, project based data science training approach works for you.
Hey everyone, just wanted to share my personal experience with DataQuest so far for those that might be on the fence. Full disclosure I have zero background in programming or data science. I work in public policy and have a degree in economics and masters in public administration. I wanted to build up data science skills because I think there ...
I have compiled Top courses for beginners and Intermediate learners to learn fundamentals of Statistics for Data Science —Probability, Bayes Theorem, Inferential Statistics, Regression, Statistics in Python & R, Linear Models & more
So I tried the coursera John Hopkins R specialization which I’m sure will be really useful in the long run. But for me personally jumping from x <- 15 Print (x)
Hi all, I keep hearing about multivariate data analysis, quite a number of problem statements starts with "we need to understand what all features are contributing to this output/class. Let's do a multivariate analysis."
I will be analyzing--is that the right word?--a linguistic corpus, basically just tons of essays or other types of writing as an applied linguistics doc student. I have a GRE math ranking in the bottom 4 percent and I have never taken a statistics class. The road ahead is long, but it's about "upskilling," not launching a career in data science.
Your hiring process is terrible and you absolutely have a terrible policy.
Read the scikit-learn user guide from top to bottom. This is not even a joke, it contains many examples, tips and teaches you to work with their API, to avoid common pitfalls, actually explains (part of) the underlying math and links to relevant books/papers.
So it's 2022 which means it's almost a decade since the original "sexiest job of the 21st century" article was published by the Harvard Business Review (HBR). Link to the original article is here: Data Scientist: The Sexiest Job of the 21st Century.
I am not a Data Science person by trade. I did it for a little over 2 years because our Data Analyst left and I was the DBA. I am an systems engineer. I didn't have time to roll out PBI, Push Reports, etc. I did a lot of my stuff as canned SPs that I could modify quickly.
I just read this medium post about embedding layers that was emailed to me as a suggestion: there are so many typos/spelling mistakes it’s hard to understand how it was published. Not to mentioned the questionable omission of one hot encoding as an obvious option to deal with categorical variables.
This sub has a lot of people asking "how do I do {thing}?" This is great! I'm glad you want to learn, and honestly, most of these questions are more interesting than the Nth "how do I get a job as a Data Scientist/which certificate should I blow my money on/etc" post.
The data scientist career path starts you out at the beginning, which means that it can be for anyone. There is no experience required to start.
Learn the basics of R, a popular programming language for data scientists.
If you’re a beginner looking to get started or build a data analysis foundation, we’ve got you covered. Or, perhaps you’re someone more experienced who wants to brush up on the basics—you’re in the right place, too.
If you’re among the many thousands learning R for a potential career in data, we invite you to take advantage of any of the Paths below. We’ve crafted them to take you from absolute beginner to job-ready in under a year!
R offers powerful tools for statistical analysis, and it has many applications in science, academia, and business. Additionally, many top tech firms like Facebook, Google, and IBM use R extensively. Proficiency in R can lead to your employment in any of the following positions:
On Dataquest, you can learn at your own pace. There's no set course schedule you need to worry about.
We don't teach with videos. We think the best way to learn programming is to actually write code, not watch someone else write code.
Yes, and you should! Sign up for a free account and get started right now, right in your browser!
There is a ton of data that may be of interest to us as a data analyst that is only available via an API.