Introduction to Excel
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.
Learn how to analyze data with PivotTables and intermediate logical functions before moving on to tools such as what-if analysis and forecasting.
Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery
You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Learn the fundamentals of data visualization using Google Sheets.
Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
In this course, you'll learn how to import and manage financial data in Python using various tools and sources.
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
Improve your Python data importing skills and learn to work with web and API data.
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Use DataFrames to read and merge employee data from different sources.
Help a fast food chain save money and place more accurate orders by building a model to predict food sales.
You will explore the market capitalization of Bitcoin and other cryptocurrencies.
Play bank data scientist and use regression discontinuity to see which debts are worth collecting.