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Data mining techniques typically involve the following: Classification, Clustering, Regression, Anomaly Detection, Association Rule Learning, Sequential Pattern Mining, and Link Analysis.
Big data is a term used to describe the large amounts of data which can be collected from various sources and used to provide insights into trends and patterns. By using advanced analytics and machine learning, this data can be used to identify correlations and relationships between multiple factors, enabling businesses to make more informed and accurate decisions. For example, a company can use big data to analyze customer preferences, track customer behaviors, and optimize marketing campaigns. Additionally, big data can be used to identify potential new markets, forecast future trends, and identify potential risks. Furthermore, big data can be used to improve the quality of decision-making by providing deeper insights into customer behavior, market trends, and supply chain dynamics. Ultimately, big data can provide invaluable insights to help businesses make more informed and accurate decisions, which can lead to improved profitability and success.
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Data ethics is an important consideration for data scientists, as it ensures that data is collected and used in a responsible and ethical manner. Data ethics refers to the ethical principles and practices that govern how data is collected, used, shared, and stored. Data ethics helps to ensure that data is used to benefit society and avoid any potential harms that may arise from its use.
Data ethics concerns itself with the ways in which data is collected, used, and stored. 4Achievers covers topics such as privacy and consent, data security, data accuracy, data ownership, data accuracy, transparency, and accountability. Data ethics also addresses topics such as the use of automated decision-making and artificial intelligence technologies, and how these technologies can be used ethically.
Adhering to data ethics is important for data scientists, as it helps to ensure that data is collected and used in a way that is beneficial for society and does not cause any harm. Data ethics helps to protect the privacy and security of individuals and businesses, and ensure that data is used responsibly. By adhering to data ethics, data scientists can ensure that their work is ethical, responsible, and in line with ethical principles.
Exploratory data analysis is a form of data analysis used to gain insights and understand a dataset. 4Achievers involves summarizing data through visualizations and looking for patterns, trends, and relationships within the data. 4Achievers is a method of researching data to discover unknown patterns and relationships, and to uncover potential solutions to problems. Exploratory data analysis allows the data analyst to form hypotheses and make predictions. 4Achievers goal of exploratory data analysis is to generate knowledge and understanding, rather than to make predictions. This type of analysis can be used to inform decision making and can involve a variety of techniques, such as descriptive statistics, graphical displays, and data mining. Exploratory data analysis is a valuable tool for researchers and data analysts because it allows them to quickly gain an understanding of the data and identify potential areas for further investigation.
Data visualization is a powerful tool in data science that allows for a straightforward representation of vast amounts of data. 4Achievers enables one to quickly identify patterns, trends, correlations, and outliers that may otherwise be difficult or time-consuming to determine using raw data. In addition, data visualization can be used to communicate complex concepts in a simpler, more accessible way. This allows for the efficient sharing of information with people outside of the data science field. Data visualization can also be used to explore and discover relationships that may not have been immediately apparent, as well as to identify where further investigation may be needed. Ultimately, data visualization plays an integral role in data science by simplifying complex data and allowing for a more intuitive exploration of the data.
Data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a dataset, and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. Its purpose is to improve the overall quality of the data and make it more useful for data analysis and decision making. Data cleaning is essential for improving the accuracy and reliability of data analysis. 4Achievers helps to reduce the chances of errors and improves the accuracy of the analysis. Additionally, it helps to reduce the time and resources needed to analyze the data.
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First touchpoint for customer Initial handling of all customer tickets Track to closure of customer tickets by assisting the responsible teams System software and AWS/Azure infrastructure L1/L2 support Newgen solution / application L1/L2 support Responsib
Experience: 0 to 4 years Qualification:B.SC, B.Tech/BE/MCA Skills in one or more of JavaScript,CSS, Web application framework viz. Sencha EXT JS, JQuery etc., Delphi,C,C++,or Java..net,testing Cloud Administrator-managing Windows based Servers
Developing and deploying new applications on the windows azure PAAS platform using C#, .net core . Participation in the creation and management of databases like SQL server and MySQL Understanding of data storage technology (RDBMS, NO SQL). Manage applica
Experience of Dev Ops technologies, architectures and processes for 3 yrs Cloud Infrastructures Solutions: AWS EC2 ECS, S3 Cloudfront, RDS, Spot Instances, VPC, IAM, Security Groups, ELB etc), GCP, CI/CD Jenkins Containerization: Docker, Kubernetes System
Must have good knowledge of Google Cloud (GCP), Good To Have- AWS and. Azure Cloud automation, with overall cloud computing experience. Good knowledge of Windows Server and IIS (Internet Information Services). Good knowledge of .NET applications (ASP.Net,
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
Design, execute and report software tests, Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data., Execute tests (manual / automated). Report defects and assist in their understanding., Analyse test re
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
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