Python Data Visualization: Matplotlib & Seaborn Masterclass
Год выпуска: 5/2024
Производитель: Udemy
Сайт производителя:
https://www.udemy.com/course/python-data-visualization-matplotlib-seaborn/
Автор: Chris Bruehl, Maven Analytics
Продолжительность: 7h 27m 48s
Тип раздаваемого материала: Видеоурок
Язык: Английский
Субтитры: Английский
Описание:
Learn Python's Matplotlib + Seaborn libraries for data analytics & business intelligence, w/ a top Python instructor!
What you'll learn
- Master Python's Matplotlib & Seaborn libraries, two of Python's most powerful data visualization packages
- Design and format 20+ chart types using Matplotlib & Seaborn, including line charts, bar charts, scatter plots, histograms, violin plots, heatmaps and more
- Learn advanced customization options like subplots, gridspec, style sheets and parameters
- Apply best practices for Python data visualization, storytelling, formatting and visual design
- Build powerful, practical skills for modern analytics, data science and business intelligence
Requirements
- We'll use Anaconda & Jupyter Notebooks (a free, user-friendly coding environment)
- Familiarity with base Python is strongly recommended, but not a strict prerequisite
Description
This is a
hands-on, project-based course designed to help you learn two of the most popular Python packages for data visualization and business intelligence:
Matplotlib &
Seaborn.
We'll start with a quick introduction to Python data visualization frameworks and best practices, and review essential visuals, common errors, and tips for effective communication and storytelling.
From there we'll dive into
Matplotlib fundamentals, and practice building and customizing line charts, bar charts, pies & donuts, scatterplots, histograms and more. We'll break down the components of a Matplotlib figure and introduce common chart formatting techniques, then explore advanced customization options like subplots, GridSpec, style sheets and parameters.
Finally we'll introduce Python's
Seaborn library. We'll start by building some basic charts, then dive into more advanced visuals like box & violin plots, PairPlots, heat maps, FacetGrids, and more.
Throughout the course you'll play the role of a Consultant at
Maven Consulting Group, a firm that provides strategic advice to companies around the world. You'll practice applying your skills to a range of real-world projects and case studies, from hotel customer demographics to diamond ratings, coffee prices and automotive sales.
COURSE OUTLINE:
- Intro to Python Data Visualization
- Learn data visualization frameworks and best practices for choosing the right charts, applying effective formatting, and communicating clear, data-driven stories and insights
- Matplotlib Fundamentals
- Explore Python's Matplotlib library and use it to build and customize several essential chart types, including line charts, bar charts, pie/donut charts, scatterplots and histograms
- PROJECT #1: Analyzing the Global Coffee Market
- Read data into Python from CSV files provided by a major global coffee trader, and use Matplotlib to visualize volume and price data by country
- Advanced Formatting & Customization
- Apply advanced customization techniques in Matplotlib, including multi-chart figures, custom layout and colors, style sheets, gridspec, parameters and more
- PROJECT #2: Visualizing Global Coffee Production
- Continue your analysis of the global coffee market, and leverage advanced data visualization and formatting techniques to build a comprehensive report to communicate key insights
- Data Visualization with Seaborn
- Visualize data with Python's Seaborn library, and build custom visuals using additional chart types like box plots, violin plots, joint plots, pair plots, heatmaps and more
- PROJECT #3: Analyzing Used Car Sales
- Use Seaborn and Matplotlib to explore, analyze and visualize automotive auction data to help your client identify the best deals on used service vehicles for the business
Join today and get immediate, lifetime access to the following:
- 7.5 hours of high-quality video
- Python Matplotlib & Seaborn PDF ebook (150+ pages)
- Downloadable project files & solutions
- Expert support and Q&A forum
- 30-day Udemy satisfaction guarantee
If you're a data analyst. data scientist, business intelligence professional or data engineer looking to add Matplotlib & Seaborn to your Python data analysis and visualization skill set,
this is the course for you!
Happy learning!
-Chris Bruehl
(Python Expert & Lead Python Instructor, Maven Analytics)
__________
Looking for our full business intelligence stack? Search for
"Maven Analytics" to browse our full course library, including
Excel, Power BI, MySQL,
Tableau and
Machine Learning courses!
See why our courses are among the TOP-RATED on Udemy:
"Some of the BEST courses I've ever taken. I've studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I've seen!" Russ C.
"This is my fourth course from Maven Analytics and my fourth 5-star review, so I'm running out of things to say. I wish Maven was in my life earlier!" Tatsiana M.
"Maven Analytics should become the new standard for all courses taught on Udemy!" Jonah M.
Who this course is for:
- Analysts or business intelligence professionals looking to learn data visualization with Matplotlib and Seaborn
- Aspiring data scientists who want to build or strengthen their Python data visualization skills
- Anyone interested in learning one of the most popular open source programming languages in the world
- Students looking to learn powerful, practical skills with unique, hands-on projects and course demos
Формат видео: MP4
Видео: avc, 1280x720, 16:9, 30.000 к/с, 584 кб/с
Аудио: aac lc sbr, 44.1 кгц, 62.8 кб/с, 2 аудио
Изменения/Changes
The 2024/5 version duration has reduced 2 minues compared to 2022/11. Some text files of the course have also been added.
MediaInfo
General
Complete name : D:\2\Udemy - Python Data Visualization Matplotlib & Seaborn Masterclass (5.2024)\05 - Advanced Customization\015 rcParameters.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 32.5 MiB
Duration : 6 min 57 s
Overall bit rate : 653 kb/s
Frame rate : 30.000 FPS
Movie name : 015 rcParameters
Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : Main@L3.1
Format settings : CABAC / 4 Ref Frames
Format settings, CABAC : Yes
Format settings, Reference frames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 6 min 57 s
Bit rate : 584 kb/s
Nominal bit rate : 1 600 kb/s
Width : 1 280 pixels
Height : 720 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.021
Stream size : 29.1 MiB (89%)
Writing library : x264 core 148
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x1:0x111 / me=umh / subme=6 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=22 / lookahead_threads=3 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=60 / keyint_min=6 / scenecut=0 / intra_refresh=0 / rc_lookahead=60 / rc=cbr / mbtree=1 / bitrate=1600 / ratetol=1.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / vbv_maxrate=1600 / vbv_bufsize=3200 / nal_hrd=none / filler=0 / ip_ratio=1.40 / aq=1:1.00
Codec configuration box : avcC
Audio
ID : 2
Format : AAC LC SBR
Format/Info : Advanced Audio Codec Low Complexity with Spectral Band Replication
Commercial name : HE-AAC
Format settings : Explicit
Codec ID : mp4a-40-2
Duration : 6 min 57 s
Bit rate mode : Constant
Bit rate : 62.8 kb/s
Channel(s) : 2 channels
Channel layout : L R
Sampling rate : 44.1 kHz
Frame rate : 21.533 FPS (2048 SPF)
Compression mode : Lossy
Stream size : 3.13 MiB (10%)
Default : Yes
Alternate group : 1