Help Your Data Science Career By Publishing Your Work

Learn how to write a great data science article, and where you can get it published to bolster your resume and improve your career!

Assessing Data Science Job Offers and Negotiations

At the end of a data science or data analytics job hunt, how do you assess which offer to take? And how can you negotiate to get the best possible deal?

Tutorial: Creating Microsoft Azure Function Apps

In this walkthrough tutorial, we'll demonstrate the step-by-step process for creating Microsoft Azure Function Apps.

A Straightforward Guide to Linear Regression in Python

In this tutorial, we'll define linear regression, identify the tools to implement it, and explore how to create a prediction model.

A Simple Guide to Azure Synapse Analytics

Azure Synapse Analytics is a cloud-based platform that allows you to store and manage your data. Here's how it works.

The Benefits of Azure for Data Professionals

Microsoft Azure is one of the most powerful data management tools in the cloud. Here's what aspiring data professionals need to know.

Azure SQL Database Tutorial for Beginners

Azure SQL database is a solution that can handle large workloads and scale quickly. Here's what you need to know.

A Gentle Introduction to Databricks in Azure

In this article, you will learn how to build, train and evaluate a machine learning model in Azure Databricks.

An Introduction to Microsoft Azure and Cloud Computing

Microsoft Azure is a leader among cloud computing platforms. In this article, we'll go over what makes Azure such a powerhouse.

Should I Learn Python 2 or 3? (and Why It Matters)

This walkthrough charts the history of Python 2 and Python 3 to help you determine which version you should learn.

Using Machine Learning and Natural Language Processing Tools for Text Analysis

Are you curious about text analysis? This article explores machine learning and natural language processing. We look at topic modeling, concordance, and more!

Tutorial: Connect, Install, and Query PostgreSQL in Python

What is PostgreSQL in Python? How do I use it? In this tutorial, we show examples of querying PostgreSQL and more. It’s everything you need to get started!

Installing R on your machine

To install R on your Windows or Mac computer, follow these easy steps. Get started now!

Tutorial: How to Create and Use a Pandas DataFrame

With examples, this guided tutorial explains DataFrames using Pandas. We walk through what Pandas DataFrames are, how to work with them, and more.

NLP Project Part 2: How to Clean and Prepare Data for Analysis

Here’s how to analyze your text data. We use natural language processing techniques such as tokenization, n-grams, chunking, and more to understand our content.

How to Make Your Plots Appealing in Python

This guide will introduce simple (but powerful) improvements you can make to your plots in Python.

Tutorial: How to Write a For Loop in Python

This beginner’s guide will teach you how to use a for loop in Python with dozens of easy examples and real Python code.

Tutorial: Demystifying Functions in Python

There are many different types of functions, like built-in, user-defined, and Lambda. We'll show you how to make them and why they're so important.

Building a Recommender System with Netflix Data in R

Using R, I'll walk you through how to build a recommender system (step-by-step) using Netflix data.

NLP Project Part 1: Scraping the Web to Gather Data

How to Maximize Your Data Science Salary

Why does SQL Server Consume So Much Memory

Top Conferences for Data Professionals

Data Science Competitions You Should Participate In

How to Get Real-World Data Science Experience

Wondering how to get data science experience? Check out these recommendations for building real-world data science experience through collaboration, volunteering, and more!

17 Reasons Why You’re Getting Rejected for Data Science Jobs

“If data science jobs are so abundant, why can’t I get a job?” Here are 17 reasons why you might be hearing “no” and solutions to start hearing “yes.”

Most Helpful Python Libraries for Data Cleaning

Discover and leverage the top Python libraries for data cleaning and improve the quality of your data in less time and with fewer lines of code.

Tutorial: Install Linux on Windows with Windows Subsystem for Linux

Here's how to install Linux on Windows 10 machines so that you can access the Unix command line for data science workflows.

Python Machine Learning Tutorial: Predicting Airbnb Prices

Learn about machine learning in Python and build your very first ML model from scratch to predict Airbnb prices using k-nearest neighbors.

Data Cleaning and Preparation for Machine Learning

Learn data cleaning for a machine learning project by cleaning and preparing loan data from LendingClub for a predictive analytics project.

Common Workplace Problems for Data Scientists, and How to Address Them

Take a look at some of the most common complaints data scientists have with their jobs, and how you can address and resolve them.

Data Science Job Interviews Vary, But Here’s How to Prepare

Going into an interview for a data science job? Here are some actionable tips for preparing for the variety of interview formats you might encounter.

Math in Data Science

Find out how much math is involved in data science and what math you need to know to get started in a data science role.

Generating Climate Temperature Spirals in Python

In this tutorial, we'll recreate Ed Hawkins' famous climate spirals data visualization in Python using pandas and matplotlib.