Explore Quantitative Analysis - Worth Asking the Question!

In summary, quantitative analysis is a scientific method that uses statistical and mathematical techniques to analyze numerical data and solve problems. It is important because it provides objective measurements and insights for decision making, and common techniques include statistical tests, regression analysis, and data visualization. It differs from qualitative analysis in its focus on numerical data, but both can be used together for a more comprehensive understanding. However, quantitative analysis has limitations such as reliance on data quality, potential oversight of contextual information and human factors, and difficulty in measuring complex concepts.
  • #1
Frzn
28
0
I mean I'm guessing the answer would be no you can't but I figure it would be worth asking anyway

looking to get into quantitative analysis
 
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  • #2
I am not sure about the requirements for a finance degree, but a good idea would be to check the requirements for a major in applied math. Differential equations (ordinary and partials), numerical analysis, and second year linear algebra & calculus are absolutely essential in applied math. For quantitative analysis, it would be a good idea to have knowledge of financial mathematics and C++.
 
  • #3
How many math classes have you taken?
 

Related to Explore Quantitative Analysis - Worth Asking the Question!

1. What is quantitative analysis?

Quantitative analysis is a scientific method used to collect and interpret numerical data in order to understand and solve problems. It involves the use of statistical and mathematical techniques to analyze data and draw conclusions.

2. Why is quantitative analysis important?

Quantitative analysis allows us to objectively measure and analyze data, providing valuable insights and evidence to support decision making in various fields such as science, economics, and business. It also helps to identify patterns and trends in data, leading to improvements in processes and systems.

3. What are some common techniques used in quantitative analysis?

Some common techniques used in quantitative analysis include statistical tests, regression analysis, and data visualization. These techniques help to organize, summarize, and interpret large amounts of data in a meaningful way.

4. How is quantitative analysis different from qualitative analysis?

Quantitative analysis involves the use of numerical data and statistical methods, while qualitative analysis focuses on non-numerical data and uses techniques such as observation and interviews to gather and interpret information. Both approaches can be used together to provide a more comprehensive understanding of a problem or phenomenon.

5. What are some limitations of quantitative analysis?

Quantitative analysis relies heavily on the quality of the data collected and can be limited by the accuracy and validity of the measurements. It may also overlook important contextual information and the human element in decision making. Additionally, certain complex and abstract concepts may be difficult to measure quantitatively.

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