Price History for Financial Engineering and Artificial Intelligence in Python

Name: Financial Engineering and Artificial Intelligence in Python Price History
Published: Thu, September 03, 2026
License: http://www.apache.org/licenses/LICENSE-2.0.html
Keywords: price history

This page shows the historical price changes available for Financial Engineering and Artificial Intelligence in Python from the retailer Udemy, helping shoppers understand how the price has changed over time and whether the current price is a good deal. This can help you identify common predictable discount patterns, such as seasonal sales or clearance events, and the best time to buy to avoid overpaying.

From Tuesday, September 24, 2024 to Thursday, September 03, 2026, this product’s price ranged from $74.99 to $149.99, with the lowest price occurring on Monday, March 24, 2025. If you’re deciding whether to buy now or wait, reviewing historical pricing can help you determine if the current price is above or below the typical range of $77.06 on average in this case.

Glass It monitored this product’s price for 2 customers so far who requested we send daily alerts when the price drops below their target price. If you're waiting for a better deal, you can also set a price alert to get notified when the price falls below your target. The chart below shows every recorded price change for Financial Engineering and Artificial Intelligence in Python over the last year.

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Udemy price history

Financial Engineering and Artificial Intelligence in Python

Price History Chart:
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Missing or incomplete price history data on certain dates indicates no users were monitoring the items. Udemy price history data was collected by Glass It verified users for: .

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Price History Tracking Summary

Data size:	72 records available
Lowest price:	$74.99
Highest price:	$149.99
Average price:	$77.06
Earliest price alert:	Tue, September 24, 2024
Latest price alert:	Thu, September 03, 2026
Price increases:	2
Price Drops:	1
Price increase alerts:	2
Price Drop Alerts:	70
Back In Stock Alerts:	0
Out of Stock Alerts:	0
Postal Code(s):	nearest store
Product Locale:	US
Product Currency:	US Dollar
Users Tracked Item:	3
Users Tracking Item:	2
Data is based on price change notification settings from Glass It.

Price Trend Analysis

The price of the course "Financial Engineering and Artificial Intelligence in Python" has shown a range between $74.99 and $149.99, with an average price of $77.06. The lowest price of $74.99 was last found on March 24, 2025. There was one significant increase to $149.99 on October 4, 2024, after which the price consistently remained at $74.99 until September 24, 2026.

The highest recorded price of $79.99 occurred on November 2, 2025, and again on various dates leading up to the current date, September 3, 2026. This indicates that the price has generally been stable at $74.99 for the majority of the period observed, with a brief spike to $149.99 followed by a return to the lower price point.

The current price as of September 3, 2026, is $79.99. The price has had two increases over the observed period, suggesting some volatility but no consistent upward or downward trend beyond the initial spike.

Is Now a Good Time to Buy?

The price history shows that the current average price for the item "Financial Engineering and Artificial Intelligence in Python" is $77.06, with the lowest price being $74.99 and the highest being $149.99. The last minimum price was found on March 24, 2025, at $74.99. As of September 3, 2026, the price has increased to $79.99.

Given the recent increase in prices and the fact that the lowest price observed in the last year was $74.99, it might be worth waiting for another price drop before making a purchase. However, if the price stabilizes or decreases again, now could be a good time to buy, especially considering there are only two users currently tracking the item.

The decision to buy now or wait depends on your personal preference and budget constraints. If you find the current price of $79.99 reasonable and you need the product soon, purchasing now might be a good option. Otherwise, it may be prudent to monitor the price further.