365 Data Science vs Skillsoft Leadership Development Program

• Data science course content is fabulous
• Teaching methodology is excellent and easy to understand even to naive like me in this analytics domain
• There are a variety of courses and along with help in QnA and certification too is valuable in the job market.
• You get to learn from basic to Advance in data science here and you won't get such a dedicated team that created it and the support system is agile.

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• Covers a wide-breadth of topics ranging from desktop / office skills to communications skills to leadership development
• Offers knowledge portals (Knowledge Centers) around specific topic areas such as Management Development, Six Sigma, Professional Foundations, Sales, etc - that aggregate content from the large Skillsoft resources and present it in a way that is both meaningful and relevant to the learners. Plus, they have editors update the featured topic each month.
• Include a wide variety of learning media such as eLearning courses, books, book summaries and videos.

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• 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.

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• The platform does have room to improve their response time for assistance. Depending on the issue an internal "help team may be required"
• They removed what was called "knowledge centers" which could be summed up as an accumulation of books, courses, exams, practice exams, articles and basically any asset within the platform surrounded by a particular subject. This was a great benefit to some of our customer. It was a one-stop-shop but now you would need to search independently for all of those assets.
• Because the platforms library can be customized its a bit of a struggle to have certain assets changed or modified within Skillsoft. You basically are on their time when it comes to updates or any major changes you as a customer would like to make.

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

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• We are not fully utilizing it due to lack of human resources. It could be better, but there is little time to devote to it.

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