AI Ethics
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
Master data modeling in Power BI.
Learn to retrieve and parse information from the internet using the Python library scrapy.
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
Enter the world of Alteryx Designer and learn how to navigate the tool, load, prepare, and aggregate data.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Learn how to implement and schedule data engineering workflows.
Understand the fundamentals of Machine Learning and how it's applied in the business world.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
Learn the fundamentals of working with big data with PySpark.
Learn to perform linear and logistic regression with multiple explanatory variables.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Learn how to use GitHub's various features, navigate the interface and perform everyday collaborative tasks.
Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI and how it can help you extract insights from your data.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
In this course you'll learn the basics of working with time series data.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Learn to start developing deep learning models with Keras.
Learn how to work with dates and times in Python.
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Discover the different ways you can enhance your Power BI data importing skills.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
In this course you will learn the basics of machine learning for classification.
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.
Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.
This introductory course on data culture provides an essential understanding of data culture concepts and their practical applications.
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Continue your data visualization journey where you'll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
Learn how to deploy and maintain assets in Power BI. Youâll get to grips with the Power BI Service interface and key elements in it like workspaces.
Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAI's embedding model!
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
This course focuses on feature engineering and machine learning for time series data.
Learn about string manipulation and become a master at using regular expressions.
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.
Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
In this four-hour course, youâll learn the basics of analyzing time series data in Python.
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Master AWS cloud technology with our course - ideal for hands-on learning and practical applications in the AWS ecosystem.
Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant!
Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.
Analyze athletics data to find new ways to scout and assess jumpers and throwers.
Perform a machine learning experiment to find the best model that predicts the temperature in London!
Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!
Conduct a supply chain analysis of the ingredients used in an avocado toast to gain an understanding of the complex supply chain involved.
Explore local and global fitness trends to identify product niches. Investigate online interest in gyms, workouts, digital services, and web apps.
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
Compare life expectancy across countries and genders with ggplot2.
Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!
Use web scraping and NLP to find the most frequent words in classic literature: Herman Melville's novel, Moby Dick.
Find the true Scala experts by exploring its development history in Git and GitHub.
Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!
Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.
Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!
Apply your data manipulation skills to time series data on water levels of the River Thames.
Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!
Use data manipulation and summary statistics to analyze test scores across New York City's public schools!
Analyze product data for an online sports retail company to optimize revenue.
Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.
Use your Intermediate SQL skills to explore a dataset about product carbon emissions.
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
Use DataFrames to read and merge employee data from different sources.
Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.
Use skills gained in the Data Analyst in SQL career track to derive insights about motorcycle part sales over time across multiple warehouse sites!
Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!
Use categorization and ranking techniques to explore 101 years of American baby name tastes.
Analyze data from the hit mobile game, Candy Crush Saga.
Use joining techniques to discover the oldest businesses in the world.
Recreate John Snow's famous map of the 1854 cholera outbreak in London.
Use coding best practices and functions to improve a script!
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Use joining techniques to discover the oldest businesses in the world.
Find out about the evolution of the Linux operating system by exploring its version control system.
Write functions to forecast time series of food prices in Rwanda.
Use a variety of data manipulation techniques to explore different aspects of Lego's history!