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Create a custom search engine with filtering
In this walkthrough, we'll learn how to build a customized search engine. This engine will filter results to remove spammy and low quality websites. We'll build the infrastructure that can find search results, store them, filter them, and render them in a web page. By the end, you'll have a web application you can run on your own computer that will enable you search and find results.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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, meeting recordings, and more.
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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. 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.
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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 for 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, then we'll create predictors and train a machine learning model to predict the winner of each football match.
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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 (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.
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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, including 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, including 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 Recommendation 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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