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Learn Data Exploration, earn certificates with paid and free online courses from University of Michigan, UC San Diego, Duke, University of Illinois and other top universities around the world. Read reviews to decide if a class is right for you.
In this course, you'll begin learning the art and science of data exploration. You'll also become familiar with some of the most widely used visualization packages in data science.
Explore intelligent data tools bridging users and data. Learn about natural language queries, clarifications, and recommendations for effective data exploration and analysis.
Explore data using a simple yet powerful language that embeds advanced programming concepts, making transparent and reproducible data analytics more accessible.
Explore WisePizza, an open-source library for automated discovery of intriguing data segments. Gain deeper insights, uncover patterns, and revolutionize your data analysis approach.
Explore data workflows using Wolfram Notebooks: import data, create visualizations, and perform analysis. Learn step-by-step recipes for building complex technical projects in an interactive environment.
Aprende fundamentos de ETL y exploración de datos usando Python. Domina Pandas, Matplotlib y NumPy para visualización y análisis. Desarrolla habilidades prácticas en ciencia de datos.
Explore, analyze, and leverage big data using machine learning techniques. Learn to design approaches, prepare data, construct models, and scale solutions using open-source tools and Spark.
Learn statistical analysis using Python, from data collection and visualization to advanced modeling, enhancing your ability to answer research questions with data-driven insights.
In this course, students will learn how to carry Power BI beyond mere bar charts and transform their reports into data exploration & storytelling tools that companies can use to better understand their data.
Dive into text data exploration using Python and pandas, mastering essential techniques for loading, analyzing, and visualizing datasets with a focus on SMS spam detection and natural language processing.
Analyze simulated game data using various big data tools to gain insights, improve gameplay, and create compelling reports for "Catch the Pink Flamingo".
Analyze Yelp restaurant reviews to discover insights on cuisines, popular dishes, and dining recommendations. Apply data mining techniques to visualize opinions and construct cuisine maps.
An introduction to data science with no coding involved.
Explore open data to solve real-world issues, creating value for public authorities, companies, and citizens through analysis and presentation of insights from diverse sectors.
Learn to write SAS programs for data access, exploration, preparation, and analysis. Covers SAS Studio, data handling, SQL queries, and exporting results. Essential for data science and machine learning with SAS.
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