Certificate in Descriptive Analytics: Data Summarization
-- ViewingNowThe Certificate in Descriptive Analytics: Data Summarization is a comprehensive course designed to equip learners with essential skills in data analysis. This program emphasizes the importance of data-driven decision making and provides hands-on experience with industry-standard tools and techniques.
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โข Data Summarization Fundamentals: Understanding the basics of data summarization, including measures of central tendency (mean, median, mode), dispersion (range, variance, standard deviation), and data distribution.
โข Descriptive Statistics: Learning about statistical methods to describe and summarize data, such as mean, median, mode, standard deviation, variance, and percentiles.
โข Data Visualization: Presenting data in a visual format to facilitate understanding, including charts, graphs, and tables.
โข Data Aggregation: Combining data from multiple sources to create a more comprehensive dataset, such as merging, concatenating, and joining data.
โข Exploratory Data Analysis (EDA): Analyzing data to identify patterns, trends, and outliers using statistical techniques and visualizations.
โข Data Cleaning and Preparation: Cleaning and preparing data for analysis, including handling missing values, outliers, and formatting issues.
โข Descriptive Analytics Tools: Learning about tools and techniques for descriptive analytics, such as SQL, Python, R, and Excel.
โข Data Storytelling: Communicating insights and findings from data analysis in a clear and compelling way, including written and oral presentations.
โข Data Ethics: Understanding ethical considerations in data analysis, such as privacy, confidentiality, and bias.
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