Kurser i data, AI och cloud

• GrundläggandeKunskapsnivå
• 4.8+
• 445 recensioner

Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

• MedelnivåKunskapsnivå
• 4.8+
• 975 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 495 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 936 recensioner

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

• MedelnivåKunskapsnivå
• 4.7+
• 274 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 311 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 278 recensioner

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

• GrundläggandeKunskapsnivå
• 4.7+
• 94 recensioner

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

• GrundläggandeKunskapsnivå
• 4.8+
• 421 recensioner

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

• AvanceradKunskapsnivå
• 4.8+
• 212 recensioner

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

• GrundläggandeKunskapsnivå
• 4.8+
• 291 recensioner

Learn essential finance math skills with practical Excel exercises and real-world examples.

• GrundläggandeKunskapsnivå
• 4.7+
• 122 recensioner

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

• AvanceradKunskapsnivå
• 4.8+
• 335 recensioner

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.

• MedelnivåKunskapsnivå
• 4.8+
• 219 recensioner

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

• GrundläggandeKunskapsnivå
• 4.8+
• 219 recensioner

Learn key financial concepts such as capital investment, WACC, and shareholder value.

• MedelnivåKunskapsnivå
• 4.8+
• 60 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 287 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 271 recensioner

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.

• MedelnivåKunskapsnivå
• 4.7+
• 265 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 185 recensioner

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

• GrundläggandeKunskapsnivå
• 4.8+
• 39 recensioner

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

• GrundläggandeKunskapsnivå
• 4.7+
• 147 recensioner

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

• MedelnivåKunskapsnivå
• 4.7+
• 111 recensioner

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

• GrundläggandeKunskapsnivå
• 4.8+
• 157 recensioner

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

• MedelnivåKunskapsnivå
• 4.7+
• 103 recensioner

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

• GrundläggandeKunskapsnivå
• 4.8+
• 80 recensioner

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

• MedelnivåKunskapsnivå
• 4.7+
• 82 recensioner

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

• MedelnivåKunskapsnivå
• 4.8+
• 115 recensioner

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

• MedelnivåKunskapsnivå
• 4.8+
• 82 recensioner

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

• AvanceradKunskapsnivå
• 4.8+
• 95 recensioner

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