Courses

Introduction to Finance, Accounting, Modeling and Valuation

4 Lessons
22.3 hours
Beginner
What you'll learn
Able to read the three most common financial statements
The income statement, balance sheet, and statement of cash flows.
Apply these skills to a real-world business setting.

Excel Crash Course: Master Excel for Financial Analysis

4 Lessons
31.3 hours
Beginner
What you'll learn
Learn how to analyze the financial statements using different metrics
Dissect a company's health and profitability.

Artificial Intelligence: Reinforcement Learning in Python

3 Lessons
21.5 hours
All Levels
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.

Statistics for Data Science and Business Analysis

3 Lessons
21.5 hours
All Levels
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.
-52%
Beginner

Fundamentals of Accounting

$15.00$31.00

Fundamentals of Accounting

4 Lessons
22.3 hours
Beginner
What you'll learn
Able to read the three most common financial statements
The income statement, balance sheet, and statement of cash flows.
Apply these skills to a real-world business setting.
-24%

Artificial Intelligence & Machine Learning

3 Lessons
21.5 hours
All Levels
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.

Survey analysis to Gain Marketing Insights

4 Lessons
18.8 hours
All Levels
What you'll learn
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
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