Live Tutorials and Project Walkthroughs
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Past Tutorials
Watch recordings of our previous live sessions.
12/13/2022
Machine Learning and Deep Learning Beginner Intro and Overview (with Code)
In this video, you'll learn all about how machine learning (ML) and deep learning (DL)
work,
how to apply them, and when to use one instead of the other. We'll start with the very
basics, and we'll track how techniques have evolved over time.
11/28/2022
Forecast the Weather Using Prophet for Time Series Prediction
Prophet uses an additive model to add up seasonal effects and trends to make a
prediction. In this video, we'll predict the weather using the Facebook prophet
algorithm.
11/03/2022
Deploy a Deep Learning API to the Cloud with Docker and Azure
In this video, we'll deploy a deep learning translation API to the cloud. First, we'll
build a dockerfile and an image. Then, we'll deploy the image to Azure Container
Registry and run the image using Azure Container Instances.
11/14/2022
Create a Deep Learning API with Python and FastAPI
In this video, we'll build a translation API using deep learning. With FastAPI, we'll
create a web server that exposes a /translate route and a /results route. By the end,
we'll have a web server that can run translation jobs quickly.
11/03/2022
Weather Prediction with Python and Machine Learning (with Code)
In this video, we'll predict tomorrow's temperature using Python and historical data.
We'll build a system to make historical predictions, and we'll add more predictors to
improve the model.
10/24/2022
How to Ace a Data Scientist Interview
In this video, our experts will give an overview of the current realities of the job
market, and they will walk you through a typical data scientist interview process.
10/17/2022
Predict NBA Games Using Python and Machine Learning (Part 2)
In this video, we'll predict the winners of basketball games in the NBA using Python.
We'll start by reading in box score data that we scraped in part 1 of this series.
10/10/2022
Web Scraping NBA Games Using Python (Part 1)
In this video, we'll learn how to scrape NBA box scores using Python and combine them
into a pandas DataFrame that you can use for machine learning or data analysis.
10/03/2022
Detect Dog Emotions with Deep Learning (Full Walkthrough with Code)
In this video, we'll determine which emotion a dog is feeling based on a picture. Using
deep learning and PyTorch, we'll analyze images and predict three emotions: happy, sad,
or relaxed.
9/26/2022
Create Your First Data Solution in the Cloud
In this video, we'll walk you through an end-to-end scenario visualizing COVID-19 case
data loaded into Azure Cosmos DB from Azure Blob Storage using Azure Data Factory. Then,
we'll visualize that data using the Integrated Power BI Experience enabled by the Azure
Synapse Link for Azure Cosmos DB.
8/19/2022
Predict Baseball Stats Using Machine Learning and Python
In this video, we'll predict future season stats for baseball players using machine
learning. The stat we'll focus on is the wins above replacement (WAR) a player will
generate next season.
9/12/2022
Predict Bitcoin Prices Using Machine Learning and Python (with Full Code)
In this video, we'll predict the future price of Bitcoin using historical price and
sentiment data. We'll use data on the USD/BTC price from Yahoo Finance, along with data
from Wikipedia about edits to the Bitcoin page.
8/15/2022
Predict House Prices Using Machine Learning and Python (Full Tutorial)
In this video, we'll predict future house prices by training a machine learning model to
predict whether prices will rise or fall. We'll write all of our code in Python using
JupyterLab, and we'll use data from the U.S. Federal Reserve, along with house price
data from Zillow.
8/22/2022
3 Real-World Data Projects for Your Portfolio
In this video, we will go in-depth with three data science case studies to see how
companies leverage data science to make better decisions, innovate in their sectors, and
meet customers’ specific needs.
8/15/2022
Build a Custom Search Engine in Python with Filtering
In this video, we'll build a custom search engine that uses filtering to rank results.
The engine will get results from the Google Custom Search API, store them, then rank
them based on filters we define. We'll filter based on the number of trackers on the
page and the length of the content. The framework will be extensible, so you can add
your own filters, including ones that use machine learning.
8/8/2022
Ridge Regression from Scratch in Python (Machine Learning Tutorial)
In this video, we'll fully implement the ridge regression algorithm from scratch in
python. We'll define ridge regression, including the theory and equation. Then we'll
implement it in Python and compare it to the reference implementation from scikit-learn.
We'll conclude by learning how to calculate the optimal penalty lambda.
7/22/2022
Linear Regression Algorithm in Python from Scratch (Beginner Tutorial)
Linear regression is the most popular machine learning algorithm, and the easiest way to
understand how it works is simply to implement it. In this video, we'll show you how to
build a linear regression model from scratch, including learning the theory and the
math.
7/18/2022
Build Your First Machine Learning Project (Full Beginner Walkthrough)
Machine learning can be intimidating for beginners, but in this tutorial, we'll walk you
through a real-world project, step by step. By the end, you'll understand machine
learning, you'll know why machine learning is useful, and you'll be able to train your
own machine learning model.
7/15/2022
7 Beginner Python Data Projects (with Full Code and Walkthroughs)
Here are seven beginner data projects in Python, with full code and walkthroughs. Get
started with these to build an awesome project portfolio and impress your future
employers.
7/11/2022
K-means Clustering Algorithm in Python From Scratch (Beginner Tutorial)
Here's a step-by-step project tutorial video that will show you how to build a k-means
clustering algorithm using Python — and real data from FIFA.
6/27/2022
Understanding Different Data Roles (a Roundtable Discussion)
In this roundtable discussion, Dataquest graduates and data professionals offer an
inside look into different data roles. They share insights from their past and current
data roles, discuss what they do today, identify the skills they rely on, and cover how
they interact with other data professionals.
6/27/2022
Business Analyst Job Outlook in 2022 (a Panel Discussion)
In this panel discussion, Dataquest founder and CEO Vik Paruchuri and Dataquest
graduates and business analysts Aaron Melton and Viktoria Jorayeva discuss 2022 data
career trends and the emerging demand for business analysts.
6/20/2022
Real-Time Speech Recognition Using Your Microphone (Beginner Tutorial with Full Code)
In this tutorial, we'll use Python and Jupyter to build a real-time speech recognition
system that uses your microphone. By the end, you'll have a functional Jupyter notebook
that can record microphone audio, transcribe it, and display it.
6/13/2022
Speech Recognition and Summarization System in Python (Project Tutorial)
In this tutorial, we'll build a system that can recognize speech in audio files,
generate a transcript, and then summarize it. By the end, you'll have a full speech
recognition system that will run locally on your computer to transcribe and summarize
podcasts, lecture notes, meeting recordings, and more.
6/6/2022
Build an Airflow Data Pipeline to Download Podcasts (Beginner Data Engineer Tutorial)
In this beginner tutorial, we'll build a data pipeline that can download and store
podcast episodes using Apache Airflow, a powerful and widely used data engineering tool.
6/4/2022
How to Build a Data Project Portfolio and Stand Out to Employers (with Examples)
In this video, we'll cover how to create a high-quality project portfolio that will help
you stand out to employers. We'll go over why you need a portfolio, some project
examples, a method for creating projects, how to present your portfolio, and where to
get ideas for projects.
5/30/2022
Learner Roundtable Discussion: How to Start a Career in Data Science
In this discussion, Dataquest graduates share their experiences, stories, tips, and
advice on how to prepare for and stay relevant in the data science industry.
5/27/2022
Build a Movie Recommendation System with Jupyter and Pandas
In this project walkthrough, we'll learn how to create a movie recommendation system
using Jupyter, Python, and Pandas. By the end, we'll be able to type the name of a movie
into an input box and instantly get recommendations for other movies we might like.
5/23/2022
Predict the Stock Market with Machine Learning
In this tutorial, we'll learn how to predict tomorrow's S&P 500 index price using
historical data. We'll start by downloading and cleaning the data with pandas to prepare
for machine learning. Then, we'll train a random forest model and make predictions using
backtesting.
5/20/2022
How to Start Your Career in Data
In this video, we'll cover how to find the right data role, how to learn the skills you
need to get hired, and how to showcase your skills to employers.
5/16/2022
Is Power BI Certification Worth It?
In this video, Dataquest Founder and CEO Vik Paruchuri and Microsoft Content Developer
David Moring discuss the value of a Power BI certification — and how it can help you
shape your career.
5/9/2022
Predicting Football Match Winners with Machine Learning
In this video, we'll use machine learning to predict who will win football matches in
the EPL. We'll start by cleaning the EPL match data, then we'll create predictors and
train a machine learning model to predict the winner of each football match.
5/2/2022
Web Scraping Football Matches from The EPL with Python (part 1 of 2)
In this video, we'll learn how to scrape football match data from the English Premier
League. We'll download all of the matches for several seasons using Python and the
requests library. We'll then parse and clean the data using BeautifulSoup and pandas.
4/18/2022
How to Become a Business Analyst (with Q&A)
In this video, we share some of the latest trends in business analytics, how to get into
the field, and how to stay relevant in an ever-changing technological landscape.
4/15/2022
Classifying Dog Images with Deep Learning and TensorFlow
In this video, we'll walk through an end-to-end deep learning project using TensorFlow
and Keras. We'll read in a dataset of dog images, then we'll train a convolutional
neural network to classify them by breed.
3/30/2022
Power BI Beginner Tutorial: Analyzing the Olympics
In this beginner tutorial, we'll walk through the main features of Microsoft Power BI —
the Power Query Editor, DAX, the M language, and the Report View. We'll do this by
analyzing data on the Olympics from 1896 to 2016.
3/23/2022
Web Scraping Beginner Tutorial with Playwright
In this video, we'll extract, parse, and work with data from websites using Python,
Playwright, and BeatifulSoup.
3/16/2022
Exploring FIFA Stats with Microsoft Power BI
In this video, we'll look at some of the main features of Power BI, including
visualizations, reports, data exploration, the Power Query Editor, and the M language.
3/9/2022
Analyzing COVID RNA Sequences with Python
In this project walkthrough, we'll analyze the RNA sequences of COVID, including the
delta and omicron variants.
3/2/2022
Analyzing Data with Microsoft Power BI
In this video, we'll give you an overview of our new skill path, "Analyzing Data with
Microsoft Power BI," and we'll talk about the increasing demand for business analysis —
and why you should learn Microsoft Power BI.
2/23/2022
Using Collaborative Filtering to Recommend Books (part 2 of 2)
In this video, we'll build on part 1 of this series and customize our book
recommendations with collaborative filtering.
2/16/2022
Building a Book Recommendation System with Python (part 1 of 2)
In this video, we'll learn how to build a system to recommend new books.
2/9/2022
Predicting the Weather with Machine Learning (Beginner Project)
In this video, we'll learn how to predict your local weather with machine learning.
2/2/2022
Predicting the NBA MVP: Machine Learning Project (part 3 of 3)
This is part 3 of a series wherein we predict which NBA player will win MVP! You can
watch this without having seen parts 1 or 2.
1/26/2022
Cleaning NBA Stats Data with Python And Pandas: Data Project (part 2 of 3)
This is part 2 of a series wherein we predict which NBA player will win MVP. You can
watch this without having seen part 1.
1/19/2022
Web Scraping NBA Stats with Python: Data Project (Part 1 of 3)
In this video, we'll download NBA stats using web scraping.
12/29/2021
Analyzing Star Wars Survey Data with Python and Pandas (Data Project)
In this video, we'll walk through a beginner data cleaning project using Python and
pandas. We'll analyze Star Wars survey data and create graphs.
12/15/2021
Predicting Stock Prices with Python and Scikit-Learn (Machine Learning Project)
In this video, we'll walk through a data science project to predict stock market prices
using Python, scikit-learn, and pandas.
