btec assignment brief

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btec assignment brief qualification pearson btec international level 3 certificate in information technology pearson btec international level 3 subsidiary diploma in information technology pearson btec international level 3 foundation diploma in information technology pearson btec international level 3 diploma in information technology pearson btec international level 3 national extended diploma in information technology unit number and title unit 10: big data and business analytics learning aim(s) (for nqf only) a: investigate the role of big data and business analytics to improve performance, for benchmarking and/or to trigger innovation in organisations b: explore the statistical software tools and techniques used to analyse data in organisations c: carry out analysis of statistical data to meet the needs of an organisation assignment title investigate, explore and analyze big data and business analytics assessor behzod qurbonov issue date hand in deadline vocational scenario or context you have recently started an internship in a sales/commerce/ …

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in accordance with the needs of the online shopping. · you will analyze purchasing data using statistical software, of course, to achieve the desired results based on customer needs. · you present the results of data analysis in the form of a report the report should be clear, understandable, and complete formatting guidelines: · cite the reference list in harvard style. · font type: times new roman or calibri · font color: black only · font size: 12 · heading font size: 14 · word limit: minimum 1000 words · line spacing: 1.15 task 1 a investigate write a report for the head of a sales organization. include in this report why organizations use business analytics, the benefits they can bring, and factors related to data and analysis. your evaluation needs to cover: · reasons why organizations analyze data, including strategic planning, improving performance, and benchmarking products and/or services. · …

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ing+in%3adatasets you should use this data to carry out an analysis and evaluation, using: · regular and non-regular measures of central tendency · estimating and predicting relationships through regular regression operations · analyzing normal distribution operations · performing important visual analyses using graphs and charts · working with frequency and percentage indicators · using search functions you will write up the results of your investigations in the form a report. your report needs to show that you have: · work with appropriate measures of central tendency for quantitative and categorical data · accurately calculate the variance, standard deviation, range, and interquartile range of normally distributed data and evaluate the business impact of each result. · analyze dynamic data by creating tabular data and fully annotated pie charts, line charts, and histograms · use the given data to determine the linear regression equation and correlation coefficient. · predict sales trends using …

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processes. this information is then used to initiate sales of new products, meet customer demand, and develop and make marketing decisions. sales or commerce data required for data analysis can be found here: https:// kaggle.com/search?q=shopping+in%3adatasets https://www.kaggle.com/search?q=selling+in%3adatasets you will need to: · prepare raw data by taking data only for months with low or average sales or cash flow and removing months with high sales or cash flow. · accurately analyse the data by applying routine and non-routine statistical, probability and mathematical operations. · create report for the head of the commerce organization in which you evaluate the outcomes of your analysis and produce accurate, valid and relevant judgements from the analysis of the dataset. your report should: · formulate a clear, specific, well-defined question to identify what you want to know. · select methods to generate valid, accurate and relevant information. · include appropriate and accurate presentation of data, calculations …

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ine and non-routine statistical, and probability operations using calculations and appropriate software to solve problems. b.m2 solve problems accurately for a dataset involving routine and non-routine central tendency, dispersion and probability distribution operations, using software. b.m3 solve problems accurately for a dataset involving routine and non-routine regression operations, using software. b.p2 solve problems for a dataset involving routine central tendency, dispersion and probability distribution operations, using software. b.p3 solve problems for a dataset involving routine linear regression operations, using software. c.d3 present concise, valid and relevant conclusions and recommendations from an accurate evaluation of the effectively cleansed and formatted dataset that are fit for different audiences and purpose to meet the needs of an organisation. c.m4 prepare effectively an appropriate raw dataset to meet the needs of an organisation. c.m5 analyse accurately, using software, the dataset by applying routine and nonroutine statistical, probability and mathematical operations. c.m6 present concise and …

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btec assignment brief qualification pearson btec international level 3 certificate in information technology pearson btec international level 3 subsidiary diploma in information technology pearson btec international level 3 foundation diploma in information technology pearson btec international level 3 diploma in information technology pearson btec international level 3 national extended diploma in information technology unit number and title unit 10: big data and business analytics learning aim(s) (for nqf only) a: investigate the role of big data and business analytics to improve performance, for benchmarking and/or to trigger innovation in organisations b: explore the statistical software tools and techniques used to analyse data in organisations c: carry out analysis of statistical dat...

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