Certificate in Descriptive Analytics: Data Summarization

Name: Certificate in Descriptive Analytics: Data Summarization
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The 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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AboutThisCourse

In today's data-driven world, there is a high demand for professionals who can analyze and interpret complex data sets. This course provides learners with the skills needed to summarize and communicate data insights effectively, leading to increased career opportunities and advancement. Throughout the course, learners will gain practical experience in data cleaning, visualization, and summarization using tools such as Python, Pandas, and NumPy. They will also learn how to communicate data insights effectively through written and oral presentations. By the end of the course, learners will have a solid foundation in descriptive analytics and be prepared to take on more advanced data analysis roles. Enroll today and take the first step towards a rewarding career in data analytics!

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CourseDetails

• 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.
• Descriptive Statistics: Learning about statistical methods to describe and summarize data, such as mean, median, mode, standard deviation, variance, and percentiles.
• Data Visualization: Presenting data in a visual format to facilitate understanding, including charts, graphs, and tables.
• Data Aggregation: Combining data from multiple sources to create a more comprehensive dataset, such as merging, concatenating, and joining data.
• Exploratory Data Analysis (EDA): Analyzing data to identify patterns, trends, and outliers using statistical techniques and visualizations.
• Data Cleaning and Preparation: Cleaning and preparing data for analysis, including handling missing values, outliers, and formatting issues.
• Descriptive Analytics Tools: Learning about tools and techniques for descriptive analytics, such as SQL, Python, R, and Excel.
• Data Storytelling: Communicating insights and findings from data analysis in a clear and compelling way, including written and oral presentations.
• Data Ethics: Understanding ethical considerations in data analysis, such as privacy, confidentiality, and bias.

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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CERTIFICATE IN DESCRIPTIVE ANALYTICS: DATA SUMMARIZATION

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London College of Foreign Trade (LCFT)

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05 May 2025

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