#### Python *Data* *Science* Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

36 results
for "data science"

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

3 hours
Programming
Hugo Bowne-Anderson
Course

Continue to build your modern *Data* *Science* skills by learning about iterators and list comprehensions.

4 hours
Programming
Hugo Bowne-Anderson
Course

Dive into *data* *science* using Python and learn how to effectively analyze and visualize your *data*. No coding experience or skills needed.

4 hours
Programming
Hillary Green-Lerman
Course

Consolidate and extend your knowledge of Python *data* types such as lists, dictionaries, and tuples, leveraging them to solve *Data* *Science* problems.

4 hours
Programming
Jason Myers
Course

Learn how to write unit tests for your *Data* *Science* projects in Python using pytest.

4 hours
Programming
Dibya Chakravorty
Course

Level up your *data* *science* skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

4 hours
Programming
Hugo Bowne-Anderson
Course

Learn about modularity, documentation, and automated testing to help you solve *data* *science* problems more quickly and reliably.

4 hours
Programming
Adam Spannbauer
Course

This course will show you how to integrate spatial *data* into your Python *Data* *Science* workflow.

4 hours
Data Manipulation
Joris Van den Bossche
Course

Learn how to build a model to automatically classify items in a school budget.

4 hours
Case Studies
Peter Bull
Course

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

4 hours
Case Studies
Jill Rosok
Course

Learn how to approach and win competitions on Kaggle.

4 hours
Machine Learning
Yauhen Babakhin
Course

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

4 hours
Data Visualization
Nicholas Strayer
Course

In this course, you'll learn how to import and manage financial *data* in Python using various tools and sources.

5 hours
Applied Finance
Stefan Jansen
Course

Visualize seasonality, trends and other patterns in your time series *data*.

4 hours
Data Visualization
Thomas Vincent
Course

Master the basics of *data* analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

4 hours
Programming
Hugo Bowne-Anderson
Course

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

4 hours
Programming
Justin Kiggins
Course

Learn to combine *data* from multiple tables by joining *data* together using pandas.

4 hours
Data Manipulation
Aaren Stubberfield
Course

Learn to retrieve and parse information from the internet using the Python library scrapy.

4 hours
Importing & Cleaning Data
Thomas Laetsch
Course

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

4 hours
Data Visualization
Chris Moffitt
Course

Learn how to explore, visualize, and extract insights from *data* using exploratory *data* analysis (EDA) in Python.

4 hours
Data Manipulation
George Boorman
Course

Learn to build pipelines that stand the test of time.

4 hours
Machine Learning
Christoforos Anagnostopoulos
Course

Learn how to import and clean *data*, calculate statistics, and create visualizations with pandas.

4 hours
Data Manipulation
Richie Cotton
Course

Learn to diagnose and treat dirty *data* and develop the skills needed to transform your raw *data* into accurate insights!

4 hours
Importing & Cleaning Data
Adel Nehme
Course

Learn all about the advantages of Bayesian *data* analysis, and apply it to a variety of real-world use cases!

4 hours
Probability & Statistics
Michał Oleszak
Course

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

4 hours
Machine Learning
Sergey Fogelson
Course

In this course, you'll learn how to collect Twitter *data* and analyze Twitter text, networks, and geographical origin.

4 hours
Data Manipulation
Alex Hanna
Course

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

5 hours
Probability & Statistics
Alexander A. Ramírez M.
Course

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from *data* patterns.

4 hours
Probability & Statistics
Jason Vestuto
Course

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

4 hours
Data Manipulation
Kevin Markham
Course

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

4 hours
Probability & Statistics
Eric Ma
Course

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

4 hours
Machine Learning
Rounak Banik
Course

Detect anomalies in your *data* analysis and expand your Python statistical toolkit in this four-hour course.

4 hours
Probability & Statistics
Bex Tuychiyev
Course

Learn how to explore, visualize, and extract insights from *data*.

4 hours
Probability & Statistics
Allen Downey
Course

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV *data*.

45 minutes
Data Manipulation, Data Visualization...
Justin Saddlemyer
Project
guided

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV *data*.

45 minutes
Data Manipulation, Data Visualization...
Justin Saddlemyer
Project
unguided

Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.

45 minutes
Data Manipulation, Data Visualization...
Jiwon Jeong
Project
guided