Professional Certificate Data Analysis: Results-Oriented Approach
-- ViewingNowThe Professional Certificate in Data Analysis: Results-Oriented Approach is a course designed to equip learners with essential data analysis skills demanded by today's industry. With a focus on a practical, hands-on approach, this course covers key topics including data cleaning, visualization, and statistical analysis.
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โข Data Collection: Understanding the importance of accurate and relevant data collection methods. This unit will cover primary and secondary data sources, data validity, and data quality.
โข Data Cleaning: Techniques for cleaning and preprocessing data, including handling missing values, outliers, and inconsistent data. This unit will also cover data normalization and standardization.
โข Data Exploration: An overview of data visualization techniques and statistical methods for exploratory data analysis. This unit will cover univariate and multivariate analysis, correlation, and regression analysis.
โข Data Modeling: Techniques for building predictive models using machine learning algorithms. This unit will cover supervised and unsupervised learning, model evaluation, and model selection.
โข Data Interpretation: Understanding and interpreting the results of data analysis, including statistical significance, confidence intervals, and hypothesis testing. This unit will also cover communicating data insights effectively.
โข Data Security: An overview of best practices for data security, including data encryption, access controls, and data backup strategies. This unit will also cover legal and ethical considerations in data analysis.
โข Data Ethics: Exploring the ethical considerations in data analysis, including bias, fairness, and transparency. This unit will also cover the role of data in decision-making and the impact of data on society.
โข Data Tools: Hands-on experience with popular data analysis tools, including Python, R, SQL, and Tableau. This unit will cover data manipulation, data visualization, and data automation.
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