DATA ENGINEERING & ANALYTICS PATHWAY
Data is the most valuable resource of the next 10 years. 7 of the 10 most profitable companies have built a business model predicated on tying human behavior to data. Every company is looking to extract maximum value from their data, which is why LinkedIn has identified the role of Data Scientist as one of the fastest growing jobs in the United States. Whether your clients are large, Fortune 500 companies or medium to small businesses, there is one ubiquitous Data Science and Analytics tool: Excel. Excel is the one constant across the ever-changing Data Science field. Every company has Excel users, and for many, it is their only Data Science program. People are now learning Excel with Data Science in mind, and your typical Excel user is now an everyday Data Scientist. Whether talking about PivotTables or prescriptive analytics utilizing the Data Analysis Toolpak, your customers want to strengthen their Data Science skillset in Excel.
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Data Preparation - extracting data from disparate systems and creating an analytical dataset
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Data Analysis - performing the analysis using advanced functions in Excel
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Advanced Analytics - Mapping analytics in Excel to Power BI, Comparing Excel and Power BI desktop, and Additional Power BI capabilities
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Data Visualization - creating impactful, story-telling visuals
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Advanced Data Visualization - geospatial charting, time-series, and others