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# Data Analytics Assignment Help

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Data and analytics are two different words, where data means facts, figures and information and analytics is the use of mathematics, statistics and modeling technique that is used to draw meaning. Therefore, Data analytics is the method of examining and investigating raw data using different techniques, tools, and software with the purpose of drawing meaningful information from them. It is also a process in business Intelligence that helps to make more informed decisions. Almost all the multinational companies use data analytics for accurate and correct decision making process. In fact, data analytics is also used in scientific researches and findings to verify and examine the purposed theories and models.

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### Data Analytics Techniques Used In Completing Data Analytics Assignment Help Solution

Descriptive Analytics Assignment Help: This technique is used to condense raw data of past and present it in the form that can be inferred by the human. Descriptive analytics, therefore, helps to understand how the past activities might influence future results. Data aggregation and data mining techniques are used for descriptive analytics.

Descriptive data are used to describe different phases of the business or when you want to understand the activities going in the company in aggregate form. Other examples of descriptive analytics are report of sale, market, inventory, customer, etc. in a business that provides historical records.

Predictive Analytics Assignment Help: The key to predictive analytics is probability. Predictive analytics tells what might happen in the future. Since nobody can exactly figure out the future outcomes, hence with the use of a predictive analytics tool for the study of data, companies look for the probability of occurrence of certain events and therefore make their decision accordingly. Hence statistical modeling technique is required to carry this complex process of predictive analytics.

In business, predictive analytics is used to discover historical and transitional patterns in order to figure out risk and prospects and therefore captures relationships among different factors for the process of decision making.

Prescriptive analytics: This field of analytics prescribes all the possible results that can occur in the future. Prescriptive analytics is carried before making any decision, providing the possible outcomes, describing the reason for the outcomes and suggesting the action that can be beneficial for the company. Therefore, this method uses algorithms, machine learning, business rules and modeling procedure to accomplish the action. The data fed for the application of prescriptive analytics can be either real-time, historical, transitional or a recent and most talked topic in the technical and business field i.e. big data. Though this technique helps to optimize business function building a pavement for business progress, due to complex administration and management, only well-developed multinational companies are using this tool.

### Data Analytics Assignment Help By Online Tutoring Guided Sessions Assignment

• Break down large data into smaller forms.
• Getting meaningful sense out of provided information.
• It helps in making critical decisions.
• Eradicating any biased information by verifying the provided data.

Since data analytics in BI is a fast-growing area, therefore there is a number of applications and tools used by the big firm and multinational companies to meet organizational goals. The data analysis software can be as simple as spreadsheet-like MS-Excel to sophisticated and advanced tools like SAS, Oracle, etc.

MS-Excel: Though this spreadsheet looks simple, but it serves with multiple functions. Most of them use excel due to their quality graphical and reporting abilities, but, it is also used as an analytical tool in various business functions.

SAS: SAS is one of the most commonly used tools in the business market. It claims to be the biggest autonomous vendor in the BI market. Along with data management, it has the broad capability to perform statistical analytics.

Statistica: Developed by StatSoft, this software package supports broad types of analytics techniques. It serves as a complete package for data management, data analytics, data visualization, data mining, etc.

Salford system: This simple to use and learn software offers a host of predictive analytics and data mining tools for business. The Salford predictive modeler software is accurate and allows the ultra-fast platform to develop predictive, descriptive and analytical models for the database of any size or complexity.

MATLAB: This statistical computing software permits manipulation of the matrix, plotting of function and data, algorithm implementation and creation of operator interface.

KXEN: It is one of the companies driving programmed analytics. The product based on algorithm i.e. developed by a Russian mathematician, Vladimir Vapnik, is simple to use allowing to work with large amounts of data.

Angoss: The product developed by Angoss is based on classification and regression decision tree algorithm. This tool is easy to learn, understand and use.

Besides this software and tools, SQL, Tableau, KNIME, Orange, etc. are also the most popularly used tools for data analytics. Therefore, a data analyst help to discover useful meanings and predictions from the provided data. For this, they need to have good analytical skills and problem-solving skills with proper attention to detail. But sometimes while focusing on studies, students fail to give time for data analytics assignments. They usually struggle at the end time to complete their work. This is the reason, even an intelligent and hardworking student fail to score good marks.

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### Topics Covered for Data Analytics Assignment Help Services:

• analytics of variance
• Regression
• Correlation
• Experimental design
• Sample size and many more.

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