What Skills Should Data Analysts Have?
Data Analysts should have strong analytical and communication skills. They should be proficient in Microsoft Excel, Access, and Sharepoint as well as SQL. Some Data Analyst positions may require programming with R or Python and the use of some mathematics. Data Analysts will need to be team players, good at pattern recognition, detail-oriented, and passionate problem-solvers.
It is essential for Data Analysts to dial in their soft skills. These skills will depend on whether their employer is a large organization where they will have to communicate their findings to upper-level management and C-level positions, in the medical field working with doctors and writers to create reports, or working for startups where they will communicate directly to a team of founders. Some Data Analysts might only be communicating directly with a small group of clients. These communications will essentially be educating the person(s) receiving the analyzed data.
Learn the Skills You Need to Become a Data Analyst
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Python
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It is used to write scripts, automations, algorithms, manipulate data, and create frameworks. Python prioritizes simplicity, easy to learn syntax, readability, and versatility.
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SQL
SQL stands for Structured Query Language. It is a computer language used to store, manipulate, and retrieve data which is stored in a relational database.
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Excel
Excel is a spreadsheet developed by Microsoft that runs on Windows, macOS, Android, and iOS. It is used for calculation, graphing, data visualization, and Visual Basic for Applications (VBA) macro programming.
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Data Analytics
Data analytics uses analysis techniques to infer conclusions about raw data. Algorithms and machine learning have optimized data analysis over time to find trends and answer questions more efficiently.
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Tableau
Tableau is a data visualization tool. This tool can be used to simplify raw data, reformat data, and perform efficient data analysis. Tableau can also be used to create data visualizations, dashboards, presentations, and worksheets.
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Power BI
Power BI is a Microsoft business analytics services. It provides interactive visualizations, business intelligence, and simple interfacing for report and dashboard creation.