Data Analytics and Business Intelligence for Data- myassignmenthelp

Question: Discuss about theData Analytics and Business Intelligence for Data Science. Answer: About Jobs in Data Analytics Both business intelligence and Data analytics uses data available in the databases of an organization and in the public sources (Naru 2017). Business intelligence is focused on making decisions based on the available data in the data base, and the data analytics is used to predict occurrence of something based on the analysis of data. Computations and statistics are the sciences used in manipulating data to arrive at meaningful insights. Various jobs are available in the fields of Business intelligence and Data analytics (both together can be considered as data science). In order make a career in the field of data science, I dream of the following jobs. Job 1: Data Analyst The primary job of a beginner in Data Analysis is to identify critical data available in the organization and provide timely information to solve the business questions. A data analyst must convert data into usable information, and compile information into business insights. An incumbent data analyst must use various statistical techniques to gather meaningful information. Every Data analytic professional must have this critical skill i.e. making sense of the available data. Junior data analysts are at the lowest end of the value chain, who serves the requirements of the Data scientists. Following are the jobs carried out by junior data analysts. Capture and store data from various sources Clean the acquired data Categorize and analyze data using Statistical tools Recognize the general trends in the data Identify patterns in the data Report the analysis using info-graphic tools 2. Skills and Attributes 3. Current Status 4. My Future Plan Knowledge of SQL and data base design I have acquired basic concepts in Data base design During Semester holidays planning to undergo advanced courses in Data base management and advanced SQL Strong base in using Microsoft Excel especially in creating pivot tables, lookup functions, and statistical applications I have informally learnt Microsoft Excel from my peers and supervisors Intending to undergo an advance course in Excel, may be through online courses. Data Visualization techniques and info-graphics to report the data trends Informally learnt the sufficient info-graphic techniques to handle small projects Intending to do an online course in info-graphics (Lavbi?, Matek Zrnec 2017). Technical expertise Has acquired basic concepts regarding data models, database design, data deployment, data mining and segmentation techniques Higher education in this regard will be decided after completion of the current course Job 2: Online / Cyber Fraud Analyst The role of a Fraud analyst is to identify irregular patterns in the data and construct probabilities of fraud. The job incumbent must gather data and information from various sources and synthesize and analyze data to evaluate and take steps to mitigate risks (Choi, Chan Yue 2017). It is possible to identify and prevent cyber frauds (Krause 2016). On line financial crimes and personal harassment are on the rise in the online world, a fraud analyst must do the following jobs. Set algorithms to analyze every authentication process Develop automated methods to detect online frauds Innovate and develop strategies to prevent frauds Recommend measures to the management to prevent frauds Develop and structure data to profile online customers and create schemes to detect anomalies 2. Skills and Attributes 3. Current Status 4. My Future Plan Quantitative and analytical skills in data driven world Completed a basic course in Statistics I am intending to pursue course in advanced statistical techniques such as stochastic processes, Markov chains, etc. Ability to derive patterns in the spread of data I have some experience in application of abstraction and mathematics Willing to learn the pattern recognition techniques through an expert fraud detector or undergo internship in credit card section of a bank Proficiency in SAS/ SQL/ SPSS, identifying and reporting fraud Already exposed to usage of these statistical packages and databases Looking forward to deepen my knowledge skills in using these programs. Need to work in a real business to identify the fraud and report them to the concerned authority Experience in working with large data sets or big data processing and data mining Conceptually equipped to understand the big data processing and its application. The current education provides exposure to data mining concepts Looking forward to undergo a training in HADOOP Ability to write programs or routines to identify anomalies in the data spread Has some knowledge of programming Need to undergo distinct training in programming languages such as JAVA, Visual Basic, C++, etc. Job 3: Web Analyst A typical web analyst creates procedures in data management related to web data analysis, progress of web development projects, monitoring the integrity of web data and ensuring web security through appropriate protection measures (Amvrosiadis Bhadkamkar 2015). The following are the critical responsibilities of a web analyst. Work with web developers to ensure the security of the web site Develop structures, design, databases and software tools for web traffic Monitor web activities and traffic Analyze and measure key word densities and SEO performance Ensure data security of the website 2. Skills and Attributes 3. Current Status 4. My Future Plan Knowledge of web development Has some knowledge of web development and HTML programming Intending to learn the skill in a self- paced manner Analysis of Web models (Ghezzi, Pezz, Sama Tamburrelli 2014) Do not have sufficient knowledge in this area Looking forward to gain knowledge of web models through on the job training Ability to configure web servers and databases and knowledge about data warehousing Has knowledge of SQL servers and content management software. The current education provides an exposure to data warehousing concepts Looking forward to gain the knowledge through internship program regarding data warehousing Analysis of web servers The log files in the web servers are critical data for analysis (Almorsy, Grundy, Mller 2016). Have limited knowledge about the log files and their contents. Looking forward to an on the job training from an expert Its important to evaluate ones skills before selecting a career in data science as it is important for long term success. Data science and Business Analyst jobs appears to be very promising job areas for those who have specialized in data science (Kulkarni, Kulkarni DYPIET 2017). Any individual can enter the field of data science provided one has the required skills and knowledge. The skills for data analytics can be learnt through short term training programs, long term college programs, self-paced courses, internships with experts, and online courses. However, a keen interest in data analysis and the ability to understand the business question is vital for the data analysts. References Almorsy, M., Grundy, J. and Mller, I., 2016. An analysis of the cloud computing security problem.arXiv preprint arXiv:1609.01107. Amvrosiadis, G. and Bhadkamkar, M., 2015, July. Identifying Trends in Enterprise Data Protection Systems. InUSENIX Annual Technical Conference(pp. 151-164). Choi, T.M., Chan, H.K. and Yue, X., 2017. Recent development in big data analytics for business operations and risk management. IEEE transactions on cybernetics, 47(1), pp.81-92. Ghezzi, C., Pezz, M., Sama, M. and Tamburrelli, G., 2014, May. Mining behavior models from user-intensive web applications. InProceedings of the 36th International Conference on Software Engineering(pp. 277-287). ACM.Kulkarni, D., Kulkarni, A. and DYPIET, P., 2017. Review Paper on Importance of Data Science in 2020.International Journal of Engineering Science,12769. Krause, J., 2016. Preventing, detecting and investigating cyber fraud.Nursing And Residential Care,18(5), pp.276-278. Lavbi?, D., Matek, T. and Zrnec, A., 2017. Recommender system for learning SQL using hints.Interactive Learning Environments,25(8), pp.1048-1064. Naru, D., 2017. Data Analytics for Beginners Job ads Fraud Analyst: https://www.seek.com.au/job/35835379?type=standoutuserqueryid=c40da1852e2f0b3a9a5f3261c6fcce3f-6077131 Web analyst : https://www.seek.com.au/job/35752899?type=standarduserqueryid=a7b6146cb1ff26d6df65737759f82ffb-6520530