shart... logy... roject... rofes... c 325 1. What is Data Science? Business Anal

Question

shart... logy... roject... rofes... c 325 1. What is Data Science? Business Analytics? What are the differences between these terms? What skills set are required for each? 2. Some universities offer majors in Data Science and/or Business Analytics. Pick a good university for each major. Which school/college/departments offer these major? Briefly describe the content/courses required for each of these majors including the foundational courses, pre-requisite courses (if any), core skills, etc l text 3. How can Data Science and/or Business Analytics help a business? How can it enhance a business's key performance indicators? Discuss briefly hpa... 4. Some reports have been published online about the top skills required over the next 5 to 10 years. Where does data science and business analytic stand? What careers or career path can a data science or business analytics major have? 5. Pick the Data Science or Business Analytics software that is most relevant to the Finance major and briefly discuss why you think they are relevant. clai... @gma... ving...

Explanation / Answer

Data Science: Data Science a collection of tools like data interference, algorithm development and technology that are required to provide solution for analytically complex problems

Skills required for Data Science:

Business Analytics: Business analytics is nothing but continuous practicing of iterative, methodical exploration of organization's data, with conditions on statistical analysis.It is mainly applicable in the system that is dedicated to data driver decision making.

Skills required for Business Analytics:

Business analytics vs. data science

                  At advanced levels, business analytics resembles data science, however there is a distinction. Even in the case of advanced applying advanced statistical method to the data sets, that doesn't mean that data science included.

Business analytics has its own set of tools, that can help in these kind of functions with simple steps.The most important difference among Data science and Business analytics are, business analytics will provide solution for specific question, where as data science don't.

2. Universities for Data Science:

                            The top 3 university across the globe for data science program are below

1. Southern Methodist University

      School : Dedman College of Humanities and Sciences, Lyle School of Engineering and Meadows School of the Arts

2. University of California - Berkeley

     School: School of Information

3. University of San Francisco

    School: College of Arts and Sciences

Course Content : Course content of Data science program collectively provide knowledge in the below area

1. In-demand technical,analytical, Communication skill

2. Statistics, Strategic behavior and Data Visualization

3. latest tools and techniques to retrieve insight from data and understanding of data lifecycle.

4. Advanced concepts like machine learning, natural language processing, distributed computing.

3.How data science and business analytics helpful for business?

                       The fundamental idea of data science is the key solution for any business problem, that is data science is used to extract useful information from the available data that is necessary for considering any problem from the business perspective. The next import point from data science is information from data item can give the necessary information for other data item.

Further in terms of business analytics, it is highly helpful for forecast the future business scenario with the data that are available now. So business predication is achievable here, based on this forecasting companies will take business decision that will lead to success.

4. Regarding career path and stand of this technology in future.

                               In this modern world, data are becoming the fuels for proper running of any kind of industries, the future world will be more dependent on data for each and every automated tasks. So the stand for this technology is very strong for next 2-3 decades. Also this career path is not so simple to travel, since lot of updates are happening everyday in this field, one has to be ready to learn everyday in order to excel in this jobs. Really data science/ business analytics are not a destination to achieve, it's a journey that you've to travel all along, there is no end.

5. "R" is an open source programming language which is more suitable for Data science as well as Business analytics, this tool comprise of various modules that are necessary for managing and manipulating the financial projects. The basic fundamentals used in this language creation is Statistics, data structures and complex algorithms. With this we can have solution for various kinds of financial projects problems where "numbers" are key as well as the solution.

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