365 Data Science vs. Lalilo

365 Data Science is perfect for beginners—people or organizations—to start doing data science. They never assume you know something before explaining it. 365 Data Science is not optimal for experienced programmers as they would find the pace too slow.

Given students whose behaviors can affect their ability to learn, Lalilo is well suited because it allows students to begin at their just right level and move ahead at their own pace. The fun factor is high enough that students stay engaged, even when they might not do so on other learning platforms. Students also enjoy comparing their badges, so for students who are motivated by competition with their friends, this works in their favor.

Incentivized

• Fantastic interface to cover video lessons.
• Efficiency with transcripts.
• Reliable with availability of new courses to boost your skills.

Incentivized

• Differentiate Instruction
• Pinpoint areas of need for students
• Engaging for our struggling learners
• Allows students to progress/work on skills that they need

• There was no coding in the browser supported. I know that other platforms offer this, but the 365 Team suggested that having all files on your PC resembles real-life coding much better.

• For my lower students, it would be nice to have more practice in alphabetical skills before moving on to reading.
• Sometimes the sound glitches out and we have to restart the lesson.

Incentivized

Students do not need any training to use Lalilo. As a teacher, I did not need any training, either. It is a simple process to set up and very user friendly. Having used it for almost 2 years now, I have not needed to contact customer service for any issues.

Incentivized

Their support is very friendly and it answered all my inquiries in a timely manner.

Outstanding with well structured learning. Exceptional for it's customer support. Reliable with social learning and ease of collaboration. The search and filter for courses.

Incentivized

Lalilo is fun but there a sense of accountability. It really demonstrates that working hard has its rewards.

Incentivized

• It helped me to learn on how to better use big data and apply it to my business and research.

• We have seen tremendous growth with some of our students
• Growth in lagging skills for students (close the gap)