LIVE TRAINING
SAVE THE DATE: December 1st and 8th, 2021 @12pm EST
Teddy Petrou is the author of the books Exercise Python and Master Data Analysis with Python.
LIVE TRAINING: Introduction to PYTHON for Programming
October 12th @12 PM EST
Price: $147
Regular price $210, discounted 10%
4 hour immersive session
Hands-on training with Q&A
Recording available on-demand
Certification of Completion
30% Discount Ends in:
Subscribe and get an additional 10% to 35% off ALL live training session
Pricing: $147
Regular price $210, discounted 30%
4 hour immersive session
Hands-on training with Q&A
Recording available on-demand
Certification of Completion
30% Discount Ends in:
Subscribe and get an additional 10% to 35% off ALL live training session
Meet Your Instructor
Teddy Petrou
Teddy Petrou is the author of Pandas Cookbook, a highly rated text on performing real-world data analysis with Pandas. He is also the author of the books Exercise Python and Master Data Analysis with Python.
He is the founder of Dunder Data, a company that teaches the fundamentals of data science and machine learning. He really enjoys discovering best practices on how to use and teach data analysis with Python.
Course Overview
What’s the plan?
By taking this course, you will learn the fundamentals of using the Seaborn data visualization library and how it integrates with Pandas DataFrames. Understand the different categories of Seaborn plotting functions and the return type (Grid or Axes) of each. This course provides comprehensive coverage of how to use all of the Seaborn plotting functions with real-life data.
Course Outline
What’s the plan?
Matt Harrison has been working with Python and data since 2000. He has a computer science degree from Stanford. He has worked at many amazing companies, created cool products, wrote a couple books, and taught thousands Python and Data Science. Currently, he is working as a corporate trainer, author, and consultant through his company Metasnake, which provides consulting and teaches corporations how to be effective with Python and data science.
Course Overview
Python is a powerful tools that XXX
Join the live session with Teddy Petrou
SAVE 30%Course Outline Day 1
Module 1:
An overview of the Matplotlib Figure and Axes
Module 2:
Introduction to Seaborn
Module 3:
Distribution Plots
Module 4:
Automatic Grouping by Category
- Training Overview
- Matplotlib Figure and Axes objects
- An object-oriented approach to Matplotlib
- Seaborn as a “wrapper” for Matplotlib
- Seaborn documentation and API
- Integration with Pandas DataFrames
- Main plotting parameters
- Grid vs Axes plots
- A different categorization for Seaborn plots
- Univariate distribution plots
- Box plots
- Changing the orientation of plots
- Histograms and KDEs
- Other distribution plots
- Plotting a continuous by a categorical variable
- Grouping with two continuous variables
- Splitting groups by setting hue
Course Outline Day 2
Module 5:
Grouping and Aggregating Plots
Module 6:
Tidy Data
Module 7:
Raw Data Plots
Module 8:
Grid Plots
Module 9:
Seaborn Styles and Palettes
- Univariate grouping and aggregating
- Choosing the aggregation function
- Bar, Point, Count, and Line plots
- Definition of tidy data
- Long data vs wide data
- Seaborn automatically groups and aggregates
- Manually grouping and aggregating with pandas
- Scatterplots
- Regression plots
- Heatmaps
- Relationship with Matplotlib Figures
- Discovering the Grid plotting functions
- Setting the plot with the kind parameter
- Creating multiple Axes with row/col parameters
- Bivariate distribution plots
- Hierarchical cluster maps
- Run configuration parameters
- Specific Seaborn styles
- Color palettes and widgets
Key Details
DATE
TIME:
DURATION:
LEVEL:
DECEMBER 1st and 8th, 2021
TIME: 12 PM EST, 9 AM PST
4 HOURS
INTERMEDIATE
Prerequisites
Elementary knowledge of the Python programming language is necessary
Some experience with Matplotlib and Pandas libraries are helpful, but not strictly necessary.
Prior work with Jupyter Notebooks would be helpful as all material is delivered with them.
Upcoming Live Training
December 14th
Web Scraping-Social Media Mining For Text Analysis and NLP
After this 4-hour session,you will have a foundation to carry out PRACTICAL, real-life social media mining. By taking this course, you are taking an important step forward in your data science journey to become an expert in harnessing the power of social media for deriving insights and identifying trends. This course will help you gain fluency both in the different aspects of text analysis and NLP working through a real-life example of cryptocurrency tweets, Wall Street Bet Reddit posts, restaurant reviews and financial news using a powerful clouded based python environment called GoogleColab.
Upcoming Live Training
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