Professional Certificate in Excel for Data Analysts
-- ViewingNowThe Professional Certificate in Excel for Data Analysts is a vital course designed to enhance data analysis skills using Excel, a widely used tool in the industry. This certification emphasizes essential skills like data cleaning, visualization, and advanced analysis techniques, addressing the growing demand for data-savvy professionals.
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โข Excel Basics for Data Analysis: Introduction to Excel, familiarizing with the Excel interface, basic data manipulation, creating and editing worksheets, using basic formulas and functions.
โข Data Cleaning and Preparation: Cleaning and preparing data for analysis, handling missing data, text data, and inconsistent data, using conditional formatting, and custom formulas.
โข Data Analysis Tools: Using pivot tables, data filters, and advanced sorting, summarizing, and aggregating data.
โข Data Visualization in Excel: Creating charts, graphs, and dashboards, customizing visualizations, and best practices for data storytelling.
โข Excel for Statistical Analysis: Performing descriptive and inferential statistics, correlation and regression analysis, and hypothesis testing.
โข Excel for Predictive Analytics: Using Excel for predictive modeling, time series forecasting, and machine learning.
โข Advanced Excel Functions: Using advanced Excel functions, including lookup, reference, text, and logical functions, and array formulas.
โข Excel for Big Data: Handling large datasets in Excel, using Power Query, and integrating Excel with other data sources.
โข Data Security and Collaboration: Ensuring data security, sharing workbooks, and collaborating with others in Excel.
Note: This list of units is for a Professional Certificate in Excel for Data Analysts and is not exhaustive. There may be additional units or topics that are relevant and important for a comprehensive Excel training program.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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