Global Certificate in Math for Social Platforms: Insights
-- ViewingNowThe Global Certificate in Math for Social Platforms: Insights is a comprehensive course designed to equip learners with essential mathematical skills for data analysis in social media and online platforms. This certification emphasizes the importance of data-driven decision-making in today's digital world, making it highly relevant and in-demand across various industries.
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โข Unit 1: Mathematical Foundations for Social Platforms – This unit will cover the basic mathematical concepts required for understanding data analysis in social platforms, such as algebra, calculus, and statistics.
โข Unit 2: Data Collection – This unit will focus on the methods and techniques used to collect data from social platforms, including surveys, experiments, and observational studies.
โข Unit 3: Data Cleaning & Preprocessing – In this unit, learners will be introduced to the processes of cleaning and preprocessing data to prepare it for analysis, including handling missing data, outliers, and data transformations.
โข Unit 4: Descriptive Statistics & Data Visualization – This unit will cover the fundamentals of descriptive statistics and data visualization, enabling learners to summarize and communicate data insights effectively.
โข Unit 5: Probability Theory – This unit will introduce probability theory, including concepts such as random variables, probability distributions, and expected values, providing a foundation for inferential statistics.
โข Unit 6: Inferential Statistics & Hypothesis Testing – In this unit, learners will be introduced to inferential statistics and hypothesis testing, enabling them to make statistical inferences and draw conclusions from data.
โข Unit 7: Regression Analysis – This unit will cover regression analysis, including linear and logistic regression, enabling learners to model relationships between variables and make predictions.
โข Unit 8: Time Series Analysis – In this unit, learners will be introduced to time series analysis, including concepts such as trend, seasonality, and autocorrelation, enabling them to analyze data collected over time.
โข Unit 9: Machine Learning & Data Mining – This unit will cover machine learning and data mining techniques, enabling learners to identify patterns and make predictions from large datasets.
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