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Explore Instagram's city influence using a 40GB dataset. Learn data cleaning, ML algorithms, visualization, and dashboard creation for impactful business insights.
Master essential R skills for data analysis and science, covering variables, vectors, functions, and control structures in a comprehensive tutorial.
Learn to apply Google's Exploratory Data Analysis guide using productivity data, covering data cleaning, visualization, and statistical techniques for insightful analysis and feature selection.
Learn essential Excel skills for data analysis, including functions, lookups, formatting, and advanced features like pivot tables and macros. Gain practical knowledge for data-driven decision-making.
Comprehensive introduction to machine learning for data professionals, covering key concepts, techniques, and practical applications in business contexts, with hands-on coding examples.
Learn techniques for extracting meaningful insights from new datasets through hands-on exploratory data analysis, covering data import, filtering, visualization, and advanced manipulation methods.
Learn statistical experiments and significance testing for data science, covering A/B testing, hypothesis testing, resampling, and ANOVA, with practical examples and insights.
Explore data and sampling distributions in statistics for data science, covering random sampling, bias, regression, and key statistical concepts with practical examples.
Explore unsupervised learning techniques including clustering, dimensionality reduction, and Gaussian mixture models. Hands-on implementation using Python libraries for data analysis and visualization.
Explore a data analyst's productivity setup, including Miniconda, Python environments, VSCode, R Studio, and essential hardware recommendations for efficient data analysis workflows.
Explore data transformation using R for SurveyMonkey data, covering importing, concatenating, melting, joining, and exporting. Learn practical skills for efficient data analysis and manipulation.
Explore a real-world data analysis task using Python and Bing Maps API to gather school location data, showcasing workflow structure and geospatial analysis techniques.
Comprehensive guide to Python essentials for data analysis, covering Jupyter notebooks, data structures, libraries, and advanced pandas operations for effective data manipulation and insights.
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