Data Visualization in Python - The Complete Package

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Data Visualization in Python - The Complete Package - Panter - 29.07.2022

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Data Visualization in Python - The Complete Package
Published 06/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 36 lectures (21h 55m) | Size: 13.8 GB

Learn python and how to use it to analyse, visualise and present data along with the use of Pandas, Numpy, Scipy

What you'll learn
Create a variety of charts, Bar Charts, Line Charts, Stacked Charts, Pie Charts, Histograms, KDE plots, Violinplots, Boxplots, Auto Correlation plots
Use the Pandas module with Python to create and structure data.
Learn Data Visualization by Plotly and Cufflinks, Seaborn, matplotlib, and Pandas
Customize graphs, modifying colors, lines, fonts, and more
Apply Data Visualization Concepts For PRACTICAL Data Analysis & Interpretation
You'll also be able to bring together several different charts into a dashboard.
Requirements
Basic experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc)
Interest in the Processing and Visualising of Real Data
You can learn this even if you don't know about basic level of Python programming
Description
This comprehensive course will teach you how to use the power of Python to analyze data and create beautiful visualizations.
Data scientist is the number one job on LinkedIn, with the World's 100 most in-demand jobs, according to LinkedIn. The average salary of a Data Scientist is over $110,000 in the United States and all over the World.
Data visualization is the discipline of attempting to comprehend information by setting it in a visual setting so that examples, patterns, and connections that could not, in any case, be identified can be uncovered. Python offers various extraordinary charting libraries loaded with bunches of various elements.
Here just a few of the topics we will be learning
Programming with Python
NumPy with Python
Using Pandas Data Frames to solve complex tasks
Use Pandas to Files
Use matplotlib and Seaborn for data visualizations
Use Plotly and Cufflinks for interactive visualizations
Exploratory Data Analysis (EDA) of Boston Housing Dataset
Exploratory Data Analysis (EDA) of Titanic Dataset
Exploratory Data Analysis (EDA) of Latest Covid-19 Dataset
and much, much more!
By the end of this course you will
Have an understanding of how to program in Python.
Know how to create and manipulate arrays using numpy and Python.
Know how to use pandas to create and analyze data sets.
Know how to use matplotlib and seaborn libraries to create beautiful data visualization.
Have an amazing portfolio of python data analysis skills!
Have experience of creating a visualization of real-life projects
Who this course is for
Beginners python programmers.
Beginners Data Science programmers.
Anyone interested in learning in details about python, data science, or data visualizations.
Someone who want to work in analytics and visualization project.
Students Looking for Skill Development Courses

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