Generative AI for Business Leaders
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How Google does Machine Learning
Our Courses
Use Power Bi for Financial Data Analysis
In this project, learners will have a guided look through Power Bi dynamic reports and visualizations for financial data analysis.
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Course by
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Self Paced
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3 hours
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English
Python with Power BI: Analyzing Financial Data
In this project, we will create a Financial dashboard for assets like stock and crypto.
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Course by
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Self Paced
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3 hours
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English
Python and Statistics for Financial Analysis
Course Overview: https://youtu.be/JgFV5qzAYno Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry.
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Course by
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Self Paced
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13 hours
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English
Applying Data Analytics in Finance
This course introduces an overview of financial analytics. You will learn why, when, and how to apply financial analytics in real-world situations. You will explore techniques to analyze time series data and how to evaluate the risk-reward trade off expounded in modern portfolio theory. While most of the focus will be on the prices, returns, and risk of corporate stocks, the analytical techniques can be leverages in other domains.
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Course by
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Self Paced
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24 hours
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English
Visualize Financial Data In Tableau
Tableau is widely recognized as one of the premier data visualization software programs.
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Course by
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Self Paced
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2 hours
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English
Analyze Apple's Stock and Financials with Bloomberg Terminal
In this 1-hour long guided tutorial, you will learn how to use Bloomberg to access equities and financials data, analyze and interpret stock and financial data, use Bloomberg DES, GP, ANR, FA, MODL, and EQRV functions. Note: This tutorial works best for learners who are based in the North America region.
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Course by
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Self Paced
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3 hours
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English
Machine Learning: Classification
Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank.
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Course by
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Self Paced
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21 hours
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English