Getting started in Data Science

Web scraping is a very powerful tool to learn for any data professional. With web scraping, the entire internet becomes your database. In this python tutorial, we introduce the fundamentals

R tutorial: In this video tutorial you will learn how to write standard web scraping commands in R, filter timely data based on time diffs, analyze or summarize key information

R Tutorial: In part two of our R tutorial on web scraping, we will use taskscheduleR to set up our web scraping script to run as a background task on

In this Data Science in Minutes, we will describe what time series forecasting is, and provide several examples of when you can use time series for your data. Time Series

In this quick machine learning tutorial, we introduce you to the concepts of one-versus-one and one-versus-all in classification. In classification models, you will often want to predict one class from

In this quick tutorial, we learn that machines can not only make sense of words but also make sense of words in their context. N-grams are one way to help

In this quick tutorial, we go over the basics of Natural Language Processing, what it is, and a few key applications of it. Machines can’t simply read and interpret language

We will look at the fundamental concept of clustering, different types of clustering methods and the weaknesses. Clustering is an unsupervised learning technique that consists of grouping data points and

You may have come across the terms “Precision, Recall and F1” when reading about Classification Models and machine learning. In this Data Science in Minutes tutorial, we will explain what

Looking at a confusion matrix for the first time can be… confusing. But Data Science Dojo is here to help! In this tutorial, we will give you a brief overview

Ever wonder what classification models are? Well, in machine learning there are many different models, all with different types of outcomes. In this quick tutorial, we go over classification models.

In this tutorial we go over what you need for steps in online experimentation. When running a business, there are many different moving parts happening all at once. This is

So, we’ve just covered what is an A/B test and what is a multivariate test, but what is an A/A test? In this quick tutorial we go over A/A testing,

Multivariate testing is a technique for testing a hypothesis in which multiple variables are modified. In this tutorial, we will explain how a multivariate test differs from an A/B Test, how to create and

What is A/B testing? In this quick tutorial, we go over the basics of A/B testing, as well as answer some in-depth questions such as: why should businesses conduct A/B

In this webinar, we will explore what is a data engineer. This includes discussing what are the goals, skills, and tools that they use on a daily basis. We wanted

In this R tutorial, we show you how to automatically web scrape using rvest periodically so you can analyze timely/frequently updated data. Repository There are many blogs and tutorials that

Modern machine learning libraries are both a blessing and a curse. Due to the ease with which the libraries can be used, most users focus too much on tools and

It’s not hard to see machine learning and artificial intelligence in nearly every app we use – from any website we visit, to any mobile device we carry, to any

In this meetup, Chris Shei talks about the basics of natural language processing: the components of NLP , enterprise applications of NLP, and finally build a simple Frequently Asked Questions

The focus of the webinar will be using ggplot2 to analyze your data visually with a specific focus on discovering the underlying signals/patterns of your business. As an example, R’s

dplyr is a a great tool to perform data manipulation. It makes your data analysis process a lot more efficient. Even better, it’s fairly simple to learn and start applying

This presentation will discuss building a business case for machine learning models. In this talk, our presenter, Neeti Gupta, will provide a 10-step checklist with examples for the audience to

From distorting experiments with systemic bias to imposing human ethics on machine learning models, data scientists have far more to worry about than the raw numbers in their spreadsheet. Join

According to some estimates, bots constitute close to 50% of the overall traffic. In this introductory talk to Feature Engineering for Bot Detection, we will cover various aspects of feature

In this meetup, we provide a quick introduction to online experimentation and A/B testing. To keep the tutorial self-contained, we will first give an overview of stats fundamentals needed to

Modern machine learning libraries make model building look deceptively easy. An unnecessary emphasis on tools like R, Python, SparkML, and techniques like deep learning is prevalent. Relying on tools and

The R programming language is experiencing rapid increases in popularity and wide adoption across industries. This popularity is due, in part, to R’s rich and powerful data visualization capabilities. While

In this session, we will learn about telling impactful Storytelling with Power BI. Storytelling is a cornerstone of the human experience. Though many elements of stories have remained the same

In this full length segment we discuss A B testing: Online experimentation is perhaps the most misused of data science techniques. We will walk through the best practices for designing

The R programming language is experiencing rapid increases in popularity and wide adoption across industries. This popularity is due, in part, to R’s huge collection of open source machine learning

R programming is rapidly becoming a valuable skill for data professionals of all stripes and a must-have skill for aspiring data scientists. Adding R programming to your data analyst skillset

Microsoft’s Power BI is a powerful technology for quickly creating rich r visualizations. Power BI has many practical uses for the modern data professional including executive dashboards, operational dashboards, and

Lecture Starts at: 8:25 Business data analysis presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most

Event logs are everywhere and represent a prime source of Big Data. Event log sources run the gamut from e-commerce web servers to devices participating in globally distributed Internet of

At this meetup, presenter Craig Guarraci speaks about how to Make Sense of Unstructured Text With Python, MS Cognitive Services & PowerBI – In this presentation we’ll take a broad

R is currently one of the most popular data science languages in the world. However, it’s always had constraints around scaling out to big data. What happens when you expand

Nearly 100 years after Einstein predicted the existence of gravitational waves, Laser Interferometer and Gravitational Wave Observatory astounded the world by successfully detecting these waves. Detection was made possible by

At this Data Science Dojo meetup, Phuc Duong talks about Building a Real-Time Sentiment Pipeline for Live Tweets Using Python, R, & Azure Supplementary Material found here: https://github.com/gokul180288/meetup

In this 90-minute video tutorial, we will cover an overview of solving a simple predictive analytics problem. We will use R for Feature Exploration, Visualization, and Predictive Modeling with R