Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Learn how to work with dates and times in Python.
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.
You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Discover how to make better business decisions by applying practical data frameworks—no coding required.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.
Master sampling to get more accurate statistics with less data.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
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.
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Learn how to implement and schedule data engineering workflows.
In this course you'll learn the basics of working with time series data.
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.
Understand the fundamentals of Machine Learning and how it's applied in the business world.
Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!
Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
Master data modeling in Power BI.
Discover the different ways you can enhance your Power BI data importing skills.
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.
Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Learn the fundamentals of working with big data with PySpark.
Take your R skills up a notch by learning to write efficient, reusable functions.
Learn the fundamentals of data visualization using spreadsheets.
In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.
This introductory and conceptual course will help you understand the fundamentals of data warehousing.
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.
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. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.
This course focuses on feature engineering and machine learning for time series data.
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
Learn to process, transform, and manipulate images at your will.
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
Learn the fundamentals of cloud computing with AWS.
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.
Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.
Analyze product data for an online sports retail company to optimize revenue.
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 data manipulation, cleaning, and feature engineering skills to prepare a payment dataset for fraud prediction modeling.
Analyze product data for an online sports retail company to optimize revenue.
Use categorization and ranking techniques to explore 101 years of American baby name tastes.
Use summary statistics and filters to analyze test scores across New York City's public schools!
Use joins and set theory to discover the best years for video games!
Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines.
Analyze data from the hit mobile game, Candy Crush Saga.
Use joining techniques to discover the oldest businesses in the world.
Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.
Recreate John Snow's famous map of the 1854 cholera outbreak in London.
Use data management and exploratory data analysis skills to help analyze the UK Dairy Industry.
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.
Use coding best practices and functions to improve a script!
Use DataFrames to read and merge employee data from different sources.
Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV 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.
In this project, you will use importing and text manipulation skills to find out the main protagonists in Peter Pan!
Write functions to forecast time series of food prices in Rwanda.
Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines.
Use a variety of data manipulation techniques to explore different aspects of Lego's history!