Educational math software | Regression and curve fitting software | Financial charts | Mathematical software | Statistical charts and diagrams

DataScene

DataScene is a scientific graphing, animation, data analysis, and real-time data monitoring software package. It was developed with the Common Language Infrastructure technology and the GDI+ graphics library. With the two Common Language Runtime engines - the .Net and Mono frameworks - DataScene runs on all major operating systems. With DataScene, the user can plot 39 types 2D & 3D graphs (e.g., Area graph, Bar graph, Boxplot graph, Pie graph, Line graph, Histogram graph, Surface graph, Polar graph, Water Fall graph, etc.), manipulate, print, and export graphs to various formats (e.g., Bitmap, WMF/EMF, JPEG, PNG, GIF, TIFF, PostScript, and PDF), analyze data with different mathematical methods (fitting curves, calculating statics, FFT, etc.), create chart animations for presentations (e.g. with PowerPoint), classes, and web pages, and monitor and chart real-time data. (Wikipedia).

DataScene
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Intro to Data Science: Historical Context

This lecture provides some historical context for data science and data-intensive scientific inquiry. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com

From playlist Intro to Data Science

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Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka

( Data Science Training - https://www.edureka.co/data-science ) Data Science Blog Series: https://goo.gl/1CKTyN http://www.edureka.co/data-science Please write back to us at sales@edureka.co or call us at +91-8880862004 for more information. Data Science is all about extracting knowledge

From playlist Data Science Training Videos

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Intro to Data Science: What is Data Science?

This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e. building models with data). These will be some of the topics discussed in this lecture series.

From playlist Intro to Data Science

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Learn Data Science Tutorial - Full Course for Beginners

Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st century." You'll learn the important elements of data science. You'll be introduced to the principles, practices, and tools that make data science the powerful me

From playlist Data Science

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Intro to Data Science: Overview

This lecture provides an introductory overview to data science. I will discuss the high-level goals of this lecture series, and how data science is about asking and answering questions with data. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com

From playlist Intro to Data Science

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What REALLY is Data Science? Told by a Data Scientist

Interested in Data Science? Start with learning SQL to query data. You'll need it no matter which part of the data science pyramid you're interested in: https://joma.tech/3nteQih 📚 Video courses from JomaClass: 🎓 New to programming? Learn Python here: https://joma.tech/35gCJTd 🎓 Learn S

From playlist Data Science

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Data Science For Absolutely Everyone

A walk through the practice of data science for all audiences. No math, no programming, just plain English. PERMISSIONS: The original video was published on Brandon Rohrer YouTube channel with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: ht

From playlist Data Science

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Data Science Full Course for Beginner | Data Science Tutorial

In this complete data science course you will learn each and everything you need to know in order to be a data scientist. This #datascience course is beginner friendly. You will know about what data science is and how to do data science and what is required to do data science practically.

From playlist Data Science

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What Is Data Science?

Data science describes the activities related to collecting, storing and creating value from data. Creating value from data means using it to do useful things, like making better decisions. By analyzing data we can detect patterns in it and understand the process that generated it. This i

From playlist Data Science Dictionary

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Intro to Data Science: Answering Questions with Data

This lecture describes the central aspect of data science: asking and answering questions with data. In particular, we discuss the thought process and progression of questions one might ask and answer with data science. Book website: http://databookuw.com/ Steve Brunton's website: eigen

From playlist Intro to Data Science

Related pages

Surface (mathematics) | Line chart | Histogram | Common Language Runtime | PostScript | Fast Fourier transform