Untangle data science with Python^(R)

With the Python programming language, you can write code to analyze, visualize, and model datasets of any size. This book simplifies this complex task. Even if you're a beginner, you can learn to set up a Python workspace, shuffle and shape your data, and create valuable charts and graphs. When you're ready, move on to more advanced transformations and analyses that will let you pull new ideas and insights right out of your data cloud. There's no complicated jargon in this book--just clear instructions on taming data with Python.

Inside...

• Conquering Python & data science basics
• Setting up a workspace with Anaconda^(R) and Google^(R) Colab
• Importing and cleaning data
• Working with neural networks and ensembles of decision trees
• Ensuring data security
• Working with updated datasets

Let Python do the heavy lifting for you as you analyze large datasets

Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples.

• Get a firm background in the basics of Python coding for data analysis
• Learn about data science careers you can pursue with Python coding skills
• Integrate data analysis with multimedia and graphics
• Manage and organize data with cloud-based relational databases

Python careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.