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Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.Data analysts are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education.The ability to pay attention to detail, communicate well and be highly organised are essential skills for data analysts. They not only need to understand the data, but be able to provide insight and analysis through clear visual, written and verbal communication.Some responsibilities of a data analyst includes:Developing records management processes and policiesidentify areas to increase efficiency and automation of processesset up and maintain automated data processesidentify, evaluate and implement external services and tools to support data validation and cleansingproduce and track key performance indicatorsdevelop and support reporting processesmonitor and audit data qualityliaise with internal and external clients to fully understand data contentgather, understand and document detailed business requirements using appropriate tools and techniquesdesign and carry out surveys and analyse survey datamanipulate, analyse and interpret complex data sets relating to the employer's businessprepare reports for internal and external audiences using business analytics reporting toolscreate data dashboards, graphs and visualisationsprovide sector and competitor benchmarkingmine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting toolIn this course we will perform some task of a Data Analyst using Python ,Excel, SQL, and Power BI. We will connect to a variety of data sources, perform data transformation ,cleaning and exploration. We will create dashboards to visual data .

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