52 results for "finance"

Intermediate Python for Finance

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

4 hours Applied Finance Kennedy Behrman Course

Machine Learning for Finance in Python

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

4 hours Machine Learning Nathan George Course

Intermediate R for Finance

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

5 hours Applied Finance Lore Dirick Course

Introduction to Python for Finance

Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.

4 hours Applied Finance Adina Howe Course

Introduction to R for Finance

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

4 hours Applied Finance Lore Dirick Course

Introduction to Portfolio Analysis in R

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

5 hours Applied Finance Kris Boudt Course

Intermediate Portfolio Analysis in R

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

5 hours Applied Finance Ross Bennett Course

Financial Modeling in Excel

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

3 hours Applied Finance Nick Edwards Course

Quantitative Risk Management in Python

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

4 hours Applied Finance Jamsheed Shorish Course

Importing and Managing Financial Data in Python

In this course, you'll learn how to import and manage financial data in Python using various tools and sources.

5 hours Applied Finance Stefan Jansen Course

Credit Risk Modeling in Python

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

4 hours Applied Finance Michael Crabtree Course

Financial Trading in Python

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

4 hours Applied Finance Chelsea Yang Course

Introduction to Portfolio Risk Management in Python

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

4 hours Applied Finance Dakota Wixom Course

Financial Forecasting in Python

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

4 hours Applied Finance Victoria Clark Course

Financial Modeling in Google Sheets

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

4 hours Applied Finance Erin Buchanan Course

Financial Analytics in Google Sheets

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

4 hours Applied Finance David Ardia Course

Introduction to Financial Concepts in Python

Using Python and NumPy, learn the most fundamental financial concepts.

4 hours Applied Finance Dakota Wixom Course

Introduction to Financial Statements in Power BI

Discover how to use the income statement and balance sheet in Power BI

4 hours Applied Finance Nikisha Alcindor Course

Introduction to Portfolio Analysis in Python

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

4 hours Applied Finance Charlotte Werger Course

Analyzing Financial Statements in Python

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

4 hours Applied Finance Rohan Chatterjee Course

GARCH Models in Python

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

4 hours Applied Finance Chelsea Yang Course

Credit Risk Modeling in R

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

4 hours Applied Finance Lore Dirick Course

Bond Valuation and Analysis in Python

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

4 hours Applied Finance Joshua Mayhew Course

Loan Amortization in Google Sheets

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

4 hours Applied Finance Brent Allen Course

Quantitative Risk Management in R

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

5 hours Applied Finance Alexander J. McNeil Course

Equity Valuation in R

Learn the fundamentals of valuing stocks.

4 hours Applied Finance Clifford Ang Course

Importing and Managing Financial Data in R

Learn how to access financial data from local files as well as from internet sources.

5 hours Applied Finance Joshua Ulrich Course

GARCH Models in R

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

4 hours Applied Finance Kris Boudt Course

Financial Trading in R

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

5 hours Applied Finance Ilya Kipnis Course

Bond Valuation and Analysis in R

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

4 hours Applied Finance Clifford Ang Course

Life Insurance Products Valuation in R

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

4 hours Applied Finance Katrien Antonio Course

Financial Analysis in Power BI

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

6 hours Data Visualization Nick Edwards Course

Statistical Simulation in Python

Learn to solve increasingly complex problems using simulations to generate and analyze data.

4 hours Probability & Statistics Tushar Shanker Course

Data-Driven Decision Making for Business

Discover how to make better business decisions by applying practical data frameworks—no coding required.

2 hours Data Literacy Ted Kwartler Course

Scalable Data Processing in R

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

4 hours Programming Michael Kane Course

Data Analysis in Google Sheets

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

3 hours Data Manipulation James Chapman Course

Reporting with R Markdown

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

4 hours Reporting Amy Peterson Course

Time Series Analysis in Python

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

4 hours Probability & Statistics Rob Reider Course

Case Study: Mortgage Trading Analysis in Power BI

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

3 hours Data Visualization Nick Edwards Course

Unsupervised Learning in Python

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

4 hours Machine Learning Benjamin Wilson Course

Time Series Analysis in Tableau

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

4 hours Other Chris Hui Course

Conditional Formatting in Google Sheets

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

4 hours Data Manipulation Adam Steinfurth Course

Time Series Analysis in Power BI

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

5 hours Data Visualization Kevin Barlow Course

Risk and Returns: The Sharpe Ratio

Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio.

45 minutes Applied Finance, Case Studies Stefan Jansen Project guided

Enriching Stock Market Data using the OpenAI API

Use OpenAI's powerful API to enrich and summarize stock market data.

1 hour Applied Finance, Artificial Intelligence Eduardo Oliveira Project guided

Building Financial Reports

Ready to analyze and visualize financial ratios? In this project, you will take on real-world challenges like evaluating the profitability and leverage of companies across industries.

1 hour Applied Finance Rohan Chatterjee Project guided

Modeling the Volatility of US Bond Yields

Discover how the US bond yields behave using descriptive statistics and advanced modeling.

45 minutes Data Visualization, Applied Finance József Soltész Project guided

Which Debts Are Worth the Bank's Effort?

Play bank data scientist and use regression discontinuity to see which debts are worth collecting.

45 minutes Data Manipulation, Data Visualization... Howard Friedman Project guided

Monitoring A Financial Fraud Detection Model

Help the bank monitoring their fraud detection model and figuring out why it's not performing as expected.

1 hour Machine Learning Hakim Elakhrass Project guided

Extract Stock Sentiment from News Headlines

Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.

45 minutes Data Manipulation, Data Visualization... Juan González-Vallinas Project guided

Degrees That Pay You Back

Explore the salary potential of college majors with a k-means cluster analysis.

45 minutes Data Manipulation, Data Visualization... Jaclyn Burge Project guided

Analyzing Unicorn Companies

Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!

1 hour Programming George Boorman Project guided

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