_dv-03-visualising-relationships-python.jpg "DV 03 Visualising Relationships - Python from linear data structures in python Video Screenshot Preview")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
⏲ Duration: 9 min 10 sec
✓ Published: 22-Jul-2020
✓ Published: 22-Jul-2020
Description:
we will learn how to visually represent relationships between two or more variables and how to create those data visualisations in Python.This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nn We
we will learn how to visually represent relationships between two or more variables and how to create those data visualisations in Python.This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nn We
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
_dv-04-visualisations-using-ggplot2.webp "In this video tutorial we'll look atdata visualization using the ggplot2 package in R.nThe ggplot2 package is one of the most popular packages in data science. This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/nnIt carries 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either")
_apm-01-introduction-to-binary-logistic-regression-python.webp "In this video, we’ll learn about binary logistic regression and its application to real life data using PythonThis is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnWithout a doubt, binary logis")
_dm-04-merging-appending-amp-aggregating-data-python.webp "We will study different types of joins used to merge two datasets.nThis is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnThen we will study the aggregate function and how the function is used to")
_dv-01-basics-of-visualisation-i-python.webp "Data visualization is one of the key areas of data science. This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnIn this Basic of Visualization in Python video tutorial,we will cover all commo")
_dv-02-basics-of-visualisation-ii-python.webp "Starting with Box Whisker Plot and Histogram, we will move on to density plot, stem and leaf diagram and pareto chart. This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnBox Whisker Plot shows")
_prerequisites-for-a-machine-learning-career.webp "Prerequisites for a Machine Learning CareernMachine Learning is a multidisciplinary domain which covers everything from Computer Science fundamentals to Deep Learning concepts, business analytics, & data manipulation techniques. Having been derived from different fields, Machine Learning provides an equal career-building opportunity to a splendid no. of professionals. It empowers a broad spectrum of corporate services, including cybersecurity, financial operations, data science, supply chain")
_dv-04-visualisations-using-ggplot2.jpg)
_apm-01-introduction-to-binary-logistic-regression-python.jpg)
_dm-04-merging-appending-amp-aggregating-data-python.jpg)
_dv-01-basics-of-visualisation-i-python.jpg)
_dv-02-basics-of-visualisation-ii-python.jpg)
_prerequisites-for-a-machine-learning-career.jpg)
![[+]](/images/menu.gif){kind=small}