Newsletter Subject

new Python course!

From

datacamp.com

Email Address

team@datacamp.com

Sent On

Wed, Jul 26, 2017 02:48 PM

Email Preheader Text

This week, master the most important data types for data science! In this Python course, you will ho

This week, master the most important data types for data science! In this Python course, you will hone your skills using powerful and flexible data containers. [DataCamp]( New Course! [Data Types for Data Science]( Data Types for Data Science Taught by Jason Myers, Co-author of Essential SQLAlchemy and software engineer Have you got your basic Python programming chops down for Data Science but are yearning for more? Then this is the course for you. You'll practice your knowledge of lists, dictionaries, tuples, sets, and date times. [Play now ›]( Data Types for Data Science: What You'll Learn Chapter 1: Fundamental Data Types This chapter will introduce you to the fundamental Python data types - lists, sets, and tuples. Chapter 2: Dictionaries - The Root of Python At the root of all things Python is a dictionary. Chapter 3: Meet the collections Module The collections module is part of Python's standard library and holds some more advanced data containers. Chapter 4: Handling Dates and Times Learn how to create datetime objects, print them, look to the past and to the future. Chapter 5: Answering Data Science Questions Time for a case study to reinforce all of your learning so far! [Play Now ›]( DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02140 [Unsubscribe](

Marketing emails from datacamp.com

View More
Sent On

08/11/2024

Sent On

29/10/2024

Sent On

03/10/2024

Sent On

01/10/2024

Sent On

30/09/2024

Sent On

24/09/2024

Email Content Statistics

Subscribe Now

Subject Line Length

Data shows that subject lines with 6 to 10 words generated 21 percent higher open rate.

Subscribe Now

Average in this category

Subscribe Now

Number of Words

The more words in the content, the more time the user will need to spend reading. Get straight to the point with catchy short phrases and interesting photos and graphics.

Subscribe Now

Average in this category

Subscribe Now

Number of Images

More images or large images might cause the email to load slower. Aim for a balance of words and images.

Subscribe Now

Average in this category

Subscribe Now

Time to Read

Longer reading time requires more attention and patience from users. Aim for short phrases and catchy keywords.

Subscribe Now

Average in this category

Subscribe Now

Predicted open rate

Subscribe Now

Spam Score

Spam score is determined by a large number of checks performed on the content of the email. For the best delivery results, it is advised to lower your spam score as much as possible.

Subscribe Now

Flesch reading score

Flesch reading score measures how complex a text is. The lower the score, the more difficult the text is to read. The Flesch readability score uses the average length of your sentences (measured by the number of words) and the average number of syllables per word in an equation to calculate the reading ease. Text with a very high Flesch reading ease score (about 100) is straightforward and easy to read, with short sentences and no words of more than two syllables. Usually, a reading ease score of 60-70 is considered acceptable/normal for web copy.

Subscribe Now

Technologies

What powers this email? Every email we receive is parsed to determine the sending ESP and any additional email technologies used.

Subscribe Now

Email Size (not include images)

Font Used

No. Font Name
Subscribe Now

Copyright © 2019–2025 SimilarMail.