Yes, there's plenty of great reads, e.g., Storytelling with Data.
At a high-level, I emphasize the following to my direct reports & clients:
If your company doesn't have ML products, eg a web based service utilizing ML, you don't need ML deployment. For instance, DS dept in a retail firm.
For transitioning into ml team lead, I recommend this book: https://www.amazon.com/Data-Science-Business-Data-Analytic-Thinking/dp/1449361323
My current team lead has a master's in civil engineering. You don't need a tech background as long as you get the gist of how things work together.
Also ML team is different than traditional tech team. Scrum and sprint rarely work. Approach it as r&d management (if this is even a word for it).
As for DS roles, the lines a a bit blurry. You can have two ppl doing the same thing in diff companies but have diff titles. Focus on what you need ppl to do instead of job titles.
Model Thinker does a good job of relating mathematical models to real life scenarios. The later chapters may help you fall asleep quicker https://www.amazon.com/Model-Thinker-What-Need-Know/dp/0465094627? Scorecasting is a light read too https://www.amazon.com/Scorecasting-Hidden-Influences-Behind-Sports/dp/0307591808?
You can't have googled very hard. The book, and it's accompanying workbook are classics used in many classes.
https://www.amazon.com/Storytelling-Data-Visualization-Business-Professionals/dp/1119002257
As far as the 3d graphs are concerned, practically any textbook on data viz will tell you to never use 3d except very rate, very specific circumstances.
In reality, there's only a handful of plot types you need to know and use: two types of barplots, scatter plots, histograms, box plots, line plots and maybe waterfall plots as well. Using rare and obscure plot types is counter-productive since it will take your viewer too long and too much effort to understand what's happening. Viz, on the other hand has to make information quick and easy to digest.
There are a lot of very technical viz textbooks but I'd recommend something like Storytelling With Data: https://www.amazon.com.au/Storytelling-Data-Visualization-Business-Professionals/dp/1119002257?ref_=d6k_applink_bb_dls&dplnkId=5c7aab16-3417-4f0c-af20-494767b8c35d.
It's less technical bit still great and teaches a lot.
I really enjoyed Statistics for Data Science and Business Analysis because it's so entry level.
I would ask the folks in r/datanalysis for advice on formatting your resume. I'm a newbie like you. Just make sure there's a place on your resume for projects and include anything relevant.
My "flagship" projects were automations and building proficiency in Cognos Analytics. I also prepared example dashboards to show data reporting skills. Here's a great book on designing dashboards and communicating data.
Storytelling with Data is the best book I've read on this topic. I have about five currently in my personal library and this is the only one I recommend to coworkers anymore.
I like Lynch's books, One Up on Wall Street was great. Simple and easily applicable strategies, fun to read, and I like that he includes history.
The Joys of Compounding by Gautam Baid was a great book and had surprisingly detailed investing section. A bit more advanced imo and I imagine may be hard for a newer investor to get through.
Honestly, https://www.amazon.com/Warren-Buffetts-Favorite-Books-Intelligent-ebook/dp/B0085W03FM was the first one I read, and probably laid the best foundation I could have asked for. Link because the name is bad, but it's a great book, especially for beginners.
(Marth 14th, 2020 was when I ordered it, apparently. That timing deff helped a bit haha)
This is a great book on it. Used in college and still apply a lot from it today in my role. All about what gets the point across the fastest for your audience.
Storytelling with Data: A Data Visualization Guide for Business Professionals https://www.amazon.com/dp/1119002257/ref=cm_sw_r_cp_api_glt_i_NE2EE7DM5GYRN065VPEW
This is a great book on it. Used in college and still apply a lot from it today in my role. All about what gets the point across the fastest for your audience.
Storytelling with Data: A Data Visualization Guide for Business Professionals https://www.amazon.com/dp/1119002257/ref=cm_sw_r_cp_api_glt_i_NE2EE7DM5GYRN065VPEW
This is one of the good books you can learn value investing
https://www.amazon.com/Accounting-Columbia-Business-School-Publishing/dp/0231151187
BTW: I have one hard copy bought from amazon, read chapter 2 & 3 alone.
Do the extra colors actually add meaning to the charts?
People are quite bad at tracing categories by color in a complex chart, especially if they have to keep looking back and forth at a long legend. In almost all cases, you can simplify the chart to use only one or two colors (e.g. "our company" and "all competitors"), plus appropriate textual labels.
See "storytelling with data"by Knaflic for examples.
I teach an undergrad and grad course in a business college after spending 25 years in industry. I believe in practical experience and less theoretical/math/programming for business students. While I have students use Tableau for the assignments and projects, this book has lots of great material to lecture on
Storytelling with Data: A Data... https://www.amazon.com/dp/1119002257?ref=ppx_pop_mob_ap_share
Don’t know of anyone who can help you, but Storytelling with data is a great book to learn from.
Find a tutor. Jennine Ball can help you if you’re not sure where to look.
I also found this book very helpful: https://www.amazon.ca/Schaums-Outline-Introduction-Mathematical-Economics/dp/0071762515/ref=nodl_
Will pay anyone who has this access card. Comment "PM'd"
I've attended Cole's 1-day workshop and definitely recommend it to any business who needs to summarize the so-what of their data. The book is good too.
http://www.storytellingwithdata.com/public-workshops/
https://www.amazon.com/Storytelling-Data-Visualization-Business-Professionals/dp/1119002257
I like this book. https://www.amazon.com/Warren-Buffetts-Favorite-Books-Intelligent-ebook/dp/B0085W03FM/ref=sr_1_1?s=digital-text&ie=UTF8&qid=1522303113&sr=1-1&keywords=warren+buffet%27s+3+favorite It teaches the basic's on how to buy and sell stocks and other investments you should be making/made and when to cash them in in order to maximize your profits. Plus its free if you have kindle unlimited on amazon.
If this is your first time studying the subject then for self-teaching Brownian Motion Calculus by Wiersema is the way to go.
that's a good last point. I would like that.
yea it was a text-book for example.
But other books such as: https://www.amazon.com/Data-Science-Business-Data-Analytic-Thinking/dp/1449361323 is $18 on kindle.
It shouldn't be overwhelming if you prepare properly. Try to at least get your hands on intermediate level micro / macro texts and read through them to understand the basics. For an econ MA you don't need a ton of math. I usually suggest this Schaum's outline because it covers the needed areas up to differential equations and it has a lot of problems to help you learn the material. Add any decent introduction to econometrics, e.g. Stock / Watson, and you should be set.
Keep in mind you don't need to know everything in those textbooks, so don't worry too much if it looks like a ton of material. What you might want to do is try to get copies of the syllabi for the undergrad courses in econ at the universities you're applying to for an MA. That way you can see which textbooks they use, what material they focus on, etc.
Wow, using Kaggle examples is a great idea - you should have mentioned it 6 months ago! :) . I tried to make my examples longer and more interesting than you see in a lot of book, but yeah you're right that I had room to make them better (it's on my list of things to do if there is a second edition). But you might want to look a little further - I do some cool stuff in later chapters with facial recognition, NLP and the like. But you're right that they're focusing on the analytics and the code, rather than how you would have conceptualized that problem in the first place.
One book you might want to look at is this. I haven't read them, but the reviews are really good.
Im currently a DBA transitioning into a (somewhat) BA role. Its difficult to say what patterns to look for or books to read in regards to that position in the field of healthcare field. But bridging the gap between data and your new role this could be a good start. OH and be prepared to document more than ever have before.
how about thisone? (https://www.amazon.de/Warren-Buffetts-Favorite-Books-Intelligent/dp/0982967624/ref=sr_1_3?s=books-intl-de&ie=UTF8&qid=1479993942&sr=1-3&keywords=the+intelligent+investor) it has the most importent parts of the intelligent investor plus some other books
IMO this is the single best valuation book out there. However, it is rather high level stuff. I'd recommend this one by the same author if you aren't that accustomed with accounting yet.
Similar to what /u/Cyzzie said, you are looking for some business intelligence tools. I would start at the beginning and read a book like http://www.amazon.com/Data-Science-Business-data-analytic-thinking/dp/1449361323/ref=sr_1_2?ie=UTF8&qid=1417617015&sr=8-2&keywords=big+data+business+intelligence to get an idea of the concepts behind business intelligence, and then look into tools like Pentaho or Hadoop.