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This course is perfect for anyone looking to take their Excel skills to the next level. Learn and master the art of creating well-designed data visualizations and basic data analysis in Excel. With this course, you'll go beyond the basics of graphing and learn how to design graphs with your intended audience in mind. You'll also learn how to organize your data before graphing, use vlookups to enhance your datasets, and use your visualizations outside of Excel. Plus, you'll get all the Excel spreadsheets used throughout the course to use as a reference in the future. So, join this course and start creating amazing data visualizations that will wow your boss and coworkers! View all
Augmented Data Visualization with Machine Learning
This course is designed for business analysts who want to learn the latest data visualization capabilities with Oracle Analytics. Through hands-on activities, you will learn how to build modern data visualization projects and use machine learning models for predictive analytics. You will also get to explore different use cases such as sales analysis, school donation analysis, HR attrition analysis, and more. With video and screencast tutorials, demo files, and scripts to download, you can jump right in and try it out with your own data set. Analytically Yours, your instructors are here to help you explore the exciting new world of data visualization. View all
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Pitch Location Charts with PITCHf&x and ggplot
This course is perfect for baseball fans who want to learn how to create pitch location charts with PITCHf/x and ggplot. It will teach you how to break down a game into each at-bat and visualize the location, type, and speed of each pitch, the order in which the pitches were thrown, and the outcome of the at-bat. You will also gain additional R skills, such as how to subset a vector and how to work with factors. With a relaxed pace, you can complete the course in about three weeks. No prior knowledge of R, dplyr, and ggplot is required. View all
Metabase Data Visualization & BI Platform
This course will teach you how to use Metabase, an open source Business Intelligence (BI) platform, to create powerful data visualizations and dashboards. You will learn how to filter, summarize, join tables, create custom columns, and use the notebook editor without needing to learn SQL. You will also get a free demo instance to evaluate and explore Metabase, and the steps to provision your own instance on AWS, Azure, or GCP. With this course, you can make informed business decisions and share them with your team without spending a fortune on proprietary solutions. View all
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Introduction to Data Visualization Tools
This course introduces the fundamentals of data visualization tools, which are essential for data scientists and analysts to interpret large data sets. It covers topics such as multidimensional visualization (Type I and Type II), open source and commercial visualization tools. With these tools, data visualization designers can create visual representations of large data sets quickly and easily, which can be used for a variety of purposes such as dashboards, annual reports, sales and marketing materials, and investor slide decks. Click this course to learn more about data visualization tools and how to use them to make sense of large data sets. View all
Learning Path: Big Data Visualization
This Learning Path is perfect for data analysts and Big Data enthusiasts who want to explore the various techniques of data visualization. With the help of this Learning Path, you will learn how to effectively visualize your data and build a variety of data visualizations using multiple tools and techniques. You will also learn best practices in data visualization and apply them to your own displays. So, join Ken Cherven and learn how to create effective data visualizations! View all
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This Pandas & Seaborn Data Science & Visualization course is the most comprehensive course on Udemy to learn Data Science with Python 3. It covers topics from basics of Scientific Python Ecosystem, NumPy Fundamentals, Advanced Data Visualization, Data Acquisition Techniques, Linear Algebra and Matrices, and more. With over 105 lectures and 15.5 hours of video, this course will help you become a Master in Data Acquisition and Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century. Enroll now and start your journey to become a Data Science Professional! View all
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