AI and ML for Finance Practitioners

Topic 1: Introduction to Data Science & Big Data

Topic 2: Machine Learning: Introduction to Algorithms

Topic 3: Machine Learning: Regression,Support Vector Machine & Time Series Models

Topic 4: Machine Learning: Regularization, Regression Trees, Random Forest & Overfitting

Topic 5: Machine Learning: Classification & Clustering

Topic 6: Machine Learning: Performance Evaluation, Backtesting & False Discoveries

Topic 7: Data Mining & Machine Learning: Naïve Bayes & Text Mining

Topic 8: Big Data & Machine Learning: Ethical & Privacy Issues

Topic 9: Big Data & Machine Learning in the Financial Industry

Quiz LO 1.1.1

Test your knowledge of LO 1.1.1

20%

Question 1 of 5

1. Please, answer whether this statement is true or false.

“In the past, companies could employ teams of statisticians, modelers, and analysts to manually examine datasets, but the volume and variety of data have become ubiquitous and far exceeded the capacity of manual analysis. “

True

False

Question 1 of 5

Question 2 of 5

2. Please, answer which of these statements are correct.

I) Data science involves principles, processes, and techniques for understanding phenomena through (automated) data analysis.
II) Data engineering and processing are critical to support data science, but they are mere technological tools.
III) Data-driven decision making (DDD) refers to the practice of basing decisions on the analysis of data, rather than purely on intuition.

I and II

I and III

I, II and III

Question 2 of 5

Question 3 of 5

3. Please, answer whether this statement is true or false.

“One of the important principles of data science: data, and the capability to extract useful knowledge from data, should be regarded as key strategic assets.”

True

False

Question 3 of 5

Question 4 of 5

4. Please answer which of these statements corresponds to the reading point of view.

Statement I) “Data analytics does not bring any significant professional advantages and opportunities to interact competently with and within financial institutions and firms.”
Statement II) “Businesses are increasingly driven by data analytics, so there are significant professional advantages and opportunities to interact competently with and within financial institutions and firms. “
Statement III) “Financial institutions and firms are not interested in data analytics. “

Statement I

Statement II

Statement III

Question 4 of 5

Question 5 of 5

5. Please, answer whether this statement is true or false.

“The state of data science may be likened to that of chemistry in the mid-19th century when theories and general principles were being formulated and the field was largely experimental. Every good chemist had to be a competent lab technician. Likewise, a working data scientist should be proficient with certain software tools and procedures.”

True

False

Question 5 of 5

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