Data visualization and storytelling with your data are essential skills that every data scientist needs to communicate insights gained from analyses effectively to any audience out there.&nbsp;
For most beginners, the first package that they use to get in touch with data visualization and storytelling is, naturally, Matplotlib: it is a Python 2D plotting library that enables users to make publication-quality figures. But, what might be even more convincing is the fact that other packages, such as Pandas, intend&nbsp;to build more plotting integration with Matplotlib as time goes on.
However, what might slow down beginners is the fact that this package is pretty extensive. There is so much that you can do with it and it might be hard to still keep a structure when you're learning how to work with Matplotlib. &nbsp;&nbsp;
DataCamp has created a Matplotlib cheat sheet for those who might already know how to use the package to their advantage to make beautiful plots in Python, but that still want to keep a one-page reference handy. Of course, for those who don't know how to work with Matplotlib, this might be the extra push be convinced and to finally get started with data visualization in Python.&nbsp;
(By the way, if you want to get started with this Python package, you might want to consider our <a href="https://www.datacamp.com/tutorial/matplotlib-tutorial-python">Matplotlib tutorial</a>.)
You'll see that this cheat sheet presents you with the six basic steps that you can go through to make beautiful plots.&nbsp;
Check out the infographic by clicking on the button below:
<a href="https://res.cloudinary.com/dyd911kmh/image/upload/v1676360378/Marketing/Blog/Matplotlib_Cheat_Sheet.pdf" target="_blank" rel="noopener"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1625838238/Matplotlib_Cheat_Sheet-_Plotting_in_Python_htbtut.png" alt="Python Matplotlib cheat sheet" /></a>

This Matplotlib cheat sheet introduces you to the basics that you need to plot your data with Python and includes code samples. 

Matplotlib Cheat Sheet: Plotting in Python

The&nbsp;<a href="http://pandas.pydata.org">Pandas</a>&nbsp;library is one of the most preferred tools for data scientists to do data manipulation and analysis, next to <a href="http://matplotlib.org">matplotlib</a> for data visualization and <a href="http://www.numpy.org">NumPy</a>, the fundamental library for scientific computing in <a href="https://www.datacamp.com/learn/python">Python</a> on which Pandas was built.&nbsp;
The&nbsp;fast, flexible, and expressive Pandas data structures are designed to&nbsp;make real-world data analysis significantly&nbsp;easier, but this might not be immediately the case for those who are just getting started with it. Exactly because there is so much functionality built into this package that the options are overwhelming.
That's where this Pandas cheat sheet might come in handy.&nbsp;
It's a quick guide through the basics of Pandas that you will need to get started on wrangling your data with Python.&nbsp;
As such, you can use it as a handy reference if you&nbsp;are just beginning their data science journey with Pandas or, for those of you who already haven't started yet, you can just use it as a guide to make it easier to learn about and use it.&nbsp;
<a href="https://res.cloudinary.com/dyd911kmh/image/upload/v1676302204/Marketing/Blog/Pandas_Cheat_Sheet.pdf" target="_blank" rel="noopener"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1621255989/Pandas_Cheat_Sheet_for_Data_Science_in_Python_hqirhp.png" alt="Pandas Cheat Sheet for Data Science in Python" /></a>

A quick guide to the basics of the Python data analysis library Pandas, including code samples.

Pandas Cheat Sheet for Data Science in Python

Most of you who are learning data science with Python will&nbsp;have definitely heard already about&nbsp;scikit-learn, the open source Python library that implements a wide variety of machine learning, preprocessing, cross-validation and visualization algorithms with the help of a unified interface.&nbsp;
If you're still quite new to the field, you should be aware that machine learning, and thus also this Python library, belong to the must-knows for every aspiring data scientist.&nbsp;
That's why DataCamp has created a&nbsp;scikit-learn&nbsp;cheat sheet for those of you who have already started learning about the Python package, but that still want a handy reference sheet. Or, if you still have no idea about how&nbsp;scikit-learn&nbsp;works, this machine learning cheat sheet might come in handy to get a quick first idea of the basics that you need to know to get started.&nbsp;
Either way, we're sure that you're going to find it useful when you're tackling machine learning problems! &nbsp;
This&nbsp;scikit-learn&nbsp;cheat sheet will introduce you to the basic steps that you need to go through to implement machine learning algorithms successfully: you'll see how to load in your data, how to preprocess it, how to create your own model to which you can fit your data and predict target labels, how to validate your model and how to tune it further to improve its performance.&nbsp;
<a href="https://res.cloudinary.com/dyd911kmh/image/upload/v1676302389/Marketing/Blog/Scikit-Learn_Cheat_Sheet.pdf" target="_blank" rel="noopener" data-ol-has-click-handler=""><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1625837937/Scikit-Learn_Cheat_Sheet-_Python_Machine_Learning_wxjgwe.png" alt="Scikit-Learn Cheat Sheet" /></a>

A handy scikit-learn cheat sheet to machine learning with Python, including some code examples.

Scikit-Learn Cheat Sheet: Python Machine Learning

This cheat sheet covers the basics that you need to know to do data science with Python

Python For Data Science Cheat Sheet For Beginners

<a href="https://www.datacamp.com/business/demo" target="_blank" rel="noopener"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1675350580/iwqxbahjpbvfhoqg5hnk.png" alt="Request a demo of DataCamp for Business" width="100%" /></a>Why is data science so important for organizations? It allows us to draw meaningful conclusions from all the data around us.
As you may know, we recently launched <a href="https://www.datacamp.com/courses/data-science-for-business">a non-coding course to help business leaders</a> make sense of how data science can best position their organizations for success. This course touches on a wide range of topics: the skills necessary for data teams, the different types of data sources and storage options, the best way to visualize data through dashboards, special topics in machine learning, and more.
To supplement the course, we&rsquo;ve also created a cheat sheet for business leaders to use as a reference on the hot topics in data science they need to know, including building your data science team and the common steps in the data science workflow.
Click the image below to download the cheat sheet.
<center><a href="https://assets.datacamp.com/email/other/Cheat+Sheet_DS+For+Business+Leaders.pdf"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1619484807/Cheat_Sheet_DS_For_Business_Leaders-1_sxud5m.jpg" /></a></center>
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This cheat sheet guides you through the basics of how data science can help your business, including building your data science team and the common steps in the data science workflow.

Data Science Cheat Sheet for Business Leaders

Download quick points of reference from our cheat sheets blog. There's everything from advanced NLP in Python & the Bokeh library to data.table in R & more.

Data Science Cheat Sheets

Matplotlib Cheat Sheet: Plotting in Python

Pandas Cheat Sheet for Data Science in Python

Scikit-Learn Cheat Sheet: Python Machine Learning

Python For Data Science Cheat Sheet For Beginners

Data Science Cheat Sheet for Business Leaders