Live Tutorials and Project Walkthroughs
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Understanding Different Data Roles (A Roundtable Discussion)
As the data field continues to expand and specialize, new roles have emerged, and existing roles have changed, making the skills you need to get hired somewhat unclear. Similar positions have differing titles, while other times, names are used interchangeably for different jobs. In our upcoming roundtable discussion, Dataquest graduates and data professionals Luiz Zanini, a Product Manager; David Rushton, a Solutions Architect; and Daniela F. Salazar, a Data Analyst, will join us to unravel this confusion.
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Real-Time Speech Recognition Using Your Microphone (Beginner Tutorial with Full Code)
In this tutorial, we'll build a real-time speech recognition system that uses your microphone with Python and Jupyter. By the end, you'll have a fully working Jupyter notebook that can record microphone audio, transcribe it, and display it.
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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, and meeting recordings.
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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.
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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. This includes why you need a portfolio, project examples, a method for creating projects, how to present your portfolio, and where to get ideas for projects.
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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 and stay relevant in the data science industry.
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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.
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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.
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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.
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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.
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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 we scraped, create predictors, and train a machine learning model to predict the winner of each of the football matches.
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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.
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How to become a Business Analyst w/Q&A
In this video, we shared 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.
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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.
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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.
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Web Scraping Beginner Tutorial with Playwright
In this video, we'll extract, parse, and work with data from websites using python, playwright, and beatifulsoup.
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Exploring FIFA Stats with Microsoft Power BI
In this video, we'll look at some of the main features of Power BI — visualizations, reports, data exploration, the Power Query Editor, and the M language.
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Analyzing COVID RNA sequences with Python
In this project walkthrough, we'll analyze the RNA sequences of COVID and the delta and omicron variants.
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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.
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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.
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Building a Book Recommender System with Python [part 1 of 2]
In this video, we'll learn how to build a system to recommend new books.
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Predicting the Weather with Machine Learning (Beginner Project)
In this video, we'll learn how to predict your local weather with machine learning.
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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.
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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.
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Web Scraping NBA Stats with Python: Data Project (Part 1 of 3)
In this video, we'll download NBA stats using web scraping.
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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.
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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.
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