Whether you’re gathering new data or using existing data, applying data standards will make your life easier. And documenting your data in metadata will ensure that others can find them, understand them and use them. In this video, you’ll learn what we can do to data to make them easier to work with. That’s the role of data standards. You’ll also learn what extra information we can provide to make data easier to use. That’s the role of metadata.
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Timestamps
00:00 Introduction
01:20 Matplotlib Basics
01:59 Seaborn Basics
02:30 Jupyter Notebook Example
04:22 Scatterplot
05:38 Matplotlib Example
07:06 Seaborn Example
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Enroll in the Statistics course for free at: https://cognitiveclass.ai/courses/statistics-101/
Take this course and you won’t fail statistics.
Welcome to the Statistics 101 course, taught by Murtaza Haider, Assistant Professor at Ryerson University.
Statistics is one of the most challenging topics to learn, but Murtaza brings a gentle introduction to statistics in practice. Learn about descriptive statistics, variance, probability, correlation, and data visualization.
This Statistics 101 course ends with a fully-guided #statistics exercise exploring the “hot” topic of: do good looking professors get better teaching evaluations?
A free trial of SPSS Statistics is included in this course.
ABOUT THIS COURSE
Split into five modules, this is a beginner’s course covering the fundamentals of statistics. Start with mean, mode, and median. Then learn about standard deviation using examples from basketball.
Learn about probability with dice. Learn what it means to group data by categorical variables, and how you can transform your data into appropriate graphs and charts.
In the final module, using an open data set, learn whether good looking professors indeed get better teaching evaluations.
This course is taught using SPSS Statistics. No prior experience necessary. A free trial is available through this course, available here: SPSS Statistics (Free Trial).
Connect with Cognitive Class:
https://www.facebook.com/cognitiveclass/
https://twitter.com/CognitiveClass
https://www.linkedin.com/groups/4060416/profile
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EURACTIV takes a closer look at agricultural statistics – Why do they matter, why should we care?
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TOP 5 DATA VISUALIZATION TOOLS // Data visualization is a key communication skill for any data analyst – and almost any businessperson – to know. No matter how great you are at analyzing data, if you can’t package it in a meaningful way, then the impact is often lost.
In this video, we’ll look at the top 5 data visualization tools I recommend learning how to use based on the following criteria::
availability / use
ease of learning & using
quality of data visualizations
big data or small data suited
cost / ease of setup
From Tableau to Qlikview to Power BI, there are a lot tools to use as a data analyst or data scientist to visualize the data. Watch to find out if your favorite tool makes the cut.
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💯 Achieve your analytics career goals with personal career guidance from me:
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Are you ready to take the next steps in your career and want the best career advice? Let The Career Force be your guide.
📃 Download my FREE guide – LAND YOUR NEXT JOB here: http://bit.ly/TCFguide
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CONNECT WITH ME:
Website: https://thecareerforce.com
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Enroll in the Statistics course for free at: https://cognitiveclass.ai/courses/statistics-101/
Take this course and you won’t fail statistics.
Welcome to the Statistics 101 course, taught by Murtaza Haider, Assistant Professor at Ryerson University.
Statistics is one of the most challenging topics to learn, but Murtaza brings a gentle introduction to statistics in practice. Learn about descriptive statistics, variance, probability, correlation, and data visualization.
This Statistics 101 course ends with a fully-guided #statistics exercise exploring the “hot” topic of: do good looking professors get better teaching evaluations?
A free trial of SPSS Statistics is included in this course.
ABOUT STATISTICS COURSE:
Split into five modules, this is a beginner’s course covering the fundamentals of statistics. Start with mean, mode, and median. Then learn about standard deviation using examples from basketball.
Learn about probability with dice. Learn what it means to group data by categorical variables, and how you can transform your data into appropriate graphs and charts.
In the final module, using an open data set, learn whether good looking professors indeed get better teaching evaluations.
This course is taught using SPSS Statistics. No prior experience necessary. A free trial is available through this course, available here: SPSS Statistics (Free Trial).
Connect with Cognitive Class:
https://www.facebook.com/cognitiveclass/
https://twitter.com/CognitiveClass
https://www.linkedin.com/groups/4060416/profile
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👉🏻 Download Our Free Data Science Career Guide: https://bit.ly/3fUejRO
👉🏻 Sign up for Our Complete Data Science Training with 57% OFF: https://bit.ly/310qk41
Which is the best chart for your data – this tutorial will discuss the 14 most popular chart types and we’ll show you when to use each one, and more importantly, when to avoid using them. Learn about the best uses of the bar chart, pie chart, doughnut chart, line chart, area chart, treemap chart, bridge chart, scatterplot, and histogram. This tutorial is organized by chart type and each section explores the different applications of a specific chart. Learn how to visualize your data to convey the most relevant information, and tell a data-driven story.
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365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.
We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.
Check out our Data Science Career guides: https://www.youtube.com/playlist?list=PLaFfQroTgZnyQFq4nUfb-w2vEopN3ULMb
#DataScience #Charts #Histogram
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A complete overview of what you can find in the eMagStudio Statistics module in the eMagStudio Portal.
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Today we’re going to start our two-part unit on data visualization. Up to this point we’ve discussed raw data – which are just numbers – but usually it’s much more useful to represent this information with charts and graphs. There are two types of data we encounter, categorical and quantitative data, and they likewise require different types of visualizations. Today we’ll focus on bar charts, pie charts, pictographs, and histograms and show you what they can and cannot tell us about their underlying data as well as some of the ways they can be misused to misinform.
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The uncertainty that accompanies incredibly small datasets has been a thorn in the side of physicists, clinicians, and even ecologists for decades. Now, CSHL researchers have designed a computational approach that may finally resolve this ubiquitous problem.
Learn more: https://www.cshl.edu/the-big-problem-of-small-data-a-new-approach
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