What is Quantitative Business Analysis?
copied and pasted from investopedia....great source Quantitative Analysis A business or financial analysis technique that seeks to understand behavior by using complex mathematical and statistical modeling, measurement and research. By assigning a numerical value to variables, quantitative analysts try to replicate reality mathematically. Quantitative analysis can be done for a number of reasons such as measurement, performance evaluation or valuation of a financial instrument. It can also be used to predict real world events such as changes in a share price. In broad terms, quantitative analysis is simply a way of measuring things. Examples of quantitative analysis include everything from simple financial ratios such as earnings per share, to something as complicated as discounted cash flow, or option pricing. Although quantitative analysis is a powerful tool for evaluating investments, it rarely tells a complete story without the help of its opposite - qualitative analysis. In financial circles, quantitative analysts are affectionately referred to as "quants", "quant jockeys" or "rocket scientists".
What's easier Quantitative Methods or Calculus?
In college because I was a business major, I was required to take both Business Calculus (which is much harder than regular Cal) and also 4 levels of QM. QM was easy compared to the math. In my opinion. But it also depends on the professor... :-) Good luck.
What is a quantitative major, what does it mean?
If you're asking what majors would be beneficial for someone that wants to be an actuary, then two good possibilities stand out: business and statistics. Assuming you can't find a university with an actuarial sciences major (that would likely combine math, statistics, business and other classes), then you want to take as many quantitative classes as you can find in all fields. Most actuaries work for businesses so a fundamental understanding of business is always a good thing (major or minor). Quantitative majors in business include accounting, finance, and economics (and some highly specialized degrees like marketing research and management science are also quantitative). Proficiency with statistics is also a basic requirement for most actuarial positions. Actuaries deal with risk and statistics is the field that allows us to quantify probability (risk). Classes in probability theory, univariate and multivariate statistical techniques, calculus, and linear algebra would all enhance your quantitative skills.
Do you think quantitative reasoning course would help me in my business career?
Most people who want to become some sort of statistician or engineer work for themselves as consultants.They try to stay away from the issues brought up in Business Schools because they tend to be oversimplified and not follow the rules of mathematical modeling.Operations Research, for example was taught in most Business Schools and now has moved almost universally to engineering.The perception is that the only thing taught in Business Schools these days is management and marketing,
How good do you need to be in mathematics and statistics to become a data scientist?
Let me tell you my story. Everyone starts from somewhere. I am a mechanical Engineer. No CS Degree. No formal Math/Stat education. Got a business analyst job. For the first three years did a lot of grunt reporting work including Excel/SQL , Spotfire.Then the opportunity presented itself and my manager asked me to his office:Manager: I want you to Learn some Python.Me: But I have never done programming in my life. Why now?Manager: There is something called Random Forest Algorithm that is getting famous. Since you are the only non PHP/Javascript developer around I thought you might be able to help us (Business Read: Since you are the only one with no work on his hands, why don’t you do something)So I went to google. Read what the algorithm is used for. Just understood a little about the classification problem statement. Got a blog from someone who had implemented it in Python. Copy Pasted his code. Ran on my local machine. And Voila!!! We used that small piece of code to run on a classification dataset for that company and included it in a product. My manager was impressed.At that point of time I didn’t knew any data science. I didn’t knew about Entropy, decision trees, Cross validation etc. etc. To tell you the truth the model I created might had overfitted as hell. I just know that it was a start. And i consider that start very important.From then on I started trying many models to do the same task. I started up with Kaggle. And when I was not able to compete I started reading more. I took many open MOOCs. I learned about new things. I was open to learning new things. I was open to understand new things. And one day I realized that I was able to understand the math behind if I was willing to put effort.I started up with breadth and eventually got into the depth of things.So yes, get your start. Taste the blood. Get your hands dirty. Run the algorithm. Try to improve it by playing with the parameters and reading up on the net. I am sure in the process you will learn a lot about the inner workings of the algorithms. And maybe then some day you will be motivated enough to understand them fully.You can also try taking a few math classes for data science. One such class which I can recommend is Machine Learning | Coursera course which tackles Maths at a very fundamental level.
Do you need a lot of math for a business degree?
I am majoring in business administration in community college but I am still at that point where I can still change my mind and possibly change my major. I would like to major in business but my only fear is the amount of math that might be involved. Do you need to be good at math to get a degree in business? How much math is actually involved? Please help.
Is quantitative analysis hard?
I am in a course like that right now. I got stuck with the hardest teacher. Almost every other teacher has multiple choice and offers flowcharts and stuff for reactions, this guy makes us draw the flowcharts and answer questions. We are forced to memorize a ton of equations that other people are just given. Compared to Chem 1 and 2, this thing is a monster. However, it will pay off in the end if you just study hard. It isn't bad, our class (150 seats available, only 135 are filled up) has averages of 30-50%'s on the quizzes, whilst the other classes have 70-80% averages. Quantitative analysis can be something like trying to figure out how much of something you have, or what you have(through quantitative, not qualitative, analysis). We had unknown compounds and we had to figure out what ions made them up. We had to do a lot of involved mass balancing (had to apply a lot of things like thermodynamics and Keq/Ka/Kb) so it is wilddddddd....right now we are doing some group research project. The Teacher Assistant we have doesn't know anything, so me and like 2 others pretty much go around the lab helping people. Edit: To answer your question: No.