Data Science - Part I - Building Predictive Analytics Capabilities

For downloadable versions of these lectures, please go to the following link:

This is the first video lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics approaches. This lecture provides an overview of the models and techniques we will address throughout the lecture series, we will discuss Business Intelligence topics, predictive analytics, and big data technologies. Finally, we will walk through a simple yet effective example which showcases the potential of predictive analytics in a business context.

[Jan]

Derek, thanks for your contribution... I know these videos take time and effort. Just wanted to thank you for providing this for free.

[stevenaaleva]

Thanks SO MUCH FOR THIS!
This is one of the most important video on youtube. I recently attended a workshop and was to pay £9000 to take a course on Big Data and becoming a Data Scientist. You just did it for free. God bless YOU Derek.

[larryogunbanjo]

Derek, where has this video been all of my Ive been confused with so much jargon on how to start with Data Science but you have broken this down to the bearest level for anyone to understand. Thanks a lot

[Offering]

This is one of the very best material one can get for introduction to Data Science ... Bravo Derek !!!

[wingscut]

Great job fitting a lot of content in a 2 hour video in an engaging way. I have never watched through any video this long. Thanks Derek

[nickw]

Sir, this is a wonderfully comprehensive yet easy to digest introduction to the subject. Thank you for putting this together. I am an hour into it and I've not been bored at all, like I have by other lectures and video series.

[ramakanthrayanchi]

Hi Derek. The presentation covered a lot of areas in crisp and wonderful manner giving a very good overview.
Thanks a lot for sharing the wonderful presentation.

[j.sch.]

Hi derek. Just moments ago i had a revelation of sorts, that i now know my goal: to become a data scientist. it had been a vivid dream of mine for a long time but i just never quite took up the challenge. i searched youtube for a video series just like this. Thank you very much for taking the time and effort to share your knowlege. best wishes

[sakkthissravichandran]

Thank you for putting this information together in a video.
I just started this Data Science digging and I couldn't ask for a better material.

[graciehan]

Really nice indepth introduction on the tools and behind the scene fundamentals. Great work. Thanks for sharing, really helpful.

[yellowsubmarine]

Thank you Derek for sharing your knowledge.
I am just starting this series of videos but I feel like will really enjoy watching it.
Keep posting !

[hineshpatel]

Derek Kane you're a God send. Keep up the amazing work!

[andreassabin]

Hi Derek, thanks for sharing this. It was very helpful for me and I'm looking forward watching the next parts of the series. Great job!

[VncentSunshine]

Hi Derek, many thanks for bringing this great tutorial series. Your work is very much appreciated!

[ajeet]

Hi Derek, I just watched your first video. found this very helpful for a beginner like me. keep posting. Thanks !

[tqfoster]

Hello Derek,

First of all thank you for taking to time to post great content and make it available for the masses. I am an undergrad student pursuing a degree in Economics but I have a high interest in data analysis, predictive analysis, and forecasting. If you would be so kind as to share your personal opinion of how I can better integrate your content with my intended field of study I believe it will help me tackle some self learning in areas that will provide a better knowledge and skill base. I am currently taking Python and R courses through Coursera in my free time.

Thanks,

Tim

[kaigels]

Great series Derek, learnt alot from your videos !! keep it up !!

[satyaradjasa]

Hi Derek... Thank you so much for this wonderful and very informative session

[shyamv]

Derek these presentations are really helpful

[abhijitbarman]

Hi Derek.. This seems the best content created for Data Science. But it would have been perfect if you could have shown the practical implementation using R/Python/SAS .. any programming language of your choice.