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.
Derek, where has this video been all of my life..... 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
+Samarpan Das Thank you and your comment was one of the nicest comments I have ever heard. It completely made my day. Keep watching videos like this one and reading up on the field and you will have this skill mastered in no time.
Derek Kane I really meant it. Glad to know you read this and the simple line made you happy. It shows how grounded and humble you are. I am already into next sets of lectures. Thank you again.
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.
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
Derek, I did go through the video sincerely. It is indeed an informative and excellent way to start knowing about predictive analytics and thus many thanks.Another reason to write to you is that, I have a business case, where when we make sale of a product, we know the geographic hierarchy, the sales organization hierarchy, the product hierarchy, and the time series hierarchy, along with the activities made or done by a sales person in that time period (in a month, day wise) i.e. in a sales area, there are 2 sales officers, who contact retailers, doctors, make visits to them, conduct detailing events, gather market information and orders. Using this data, I want to predict, what can be done to reduce lost sales? which areas, what products are performed well, and not performing well now and or is it because sales activities are less or deteriorated and or an existing customer is not buying as his buying patterns are changed, and or may be we are not meeting his delivery expectations such as on-time deliveries etc. Who can assist me in using the above data and come out with gaps, challenges, opportunities by using various models, time series, associations, clustering, forecasting techniques etc. that you are talking about or is there a consulting firm, specialized in creating a business value using predictive analytics on a sales data;? our sales is similar to retail sales. stock transfer to DC's to distributors / dealers/institutes to retailers to consumer. dealer/distributor to retailer sales is manual. May be available in EXCEL. I can be reached on +919820131511 or sabhise@hotmail.com
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.
+Sakkthiss Kumaar Thank you for such kind words. I hope that this can help you in some way and if there is anything I can do to help, please feel free to reach out. Good luck .
Ajeet That's great. I would recommend going through the whole series but definitely check out the R lecture and the EDA one. This will certainly help to get you going a little more. Good luck.
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
+Timothy Foster There are many different approaches that you can take that will combine your economics skillset with the predictive analytics techniques I have been outlining. The most important aspect is that you should definitely continue to seek out information on the web related to the specific problems you might be facing in your working world. Try to frame the business question form an analytical perspective and work through all of the examples. As to getting started on a good path, lets think about how a business operates. The most important accounting document for a business is the P&L statement. This is an indicator of the financial performance and is of high value to understand for the CEO, CFO, etc... How can we take these ML techniques and translate them in a manner that helps to explain the financial performance, or even better, actively shape initiatives that will indicate future performance? Can you quantify the financial outcome of your model in business terms (ROS, EBIT, etc....)? I really think that statistical forecasting is particularly useful as it gives a prediction that can be scrutinized and is objective based on the data. We can begin to supplement them with regression techniques and continue to build down that path. No matter what technique that you are using it is most important to relate that back to your POV and translate back into a business perspective.
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.
Derek, I'm enjoying your lecture and class on here. I am currently in IT and the thought of relational analysis really intrigues me. I wondered if there were any books you would recommend as something to read along side your lectures. I am interested more in using the principals you are discussing for more of an HR perspective. Can we quarry our current pool of "Good Workers" to find similarities that would give use criteria when looking to hire new employees? I'd like to use Data Science to answer those sorts of questions. Not that I'm not interested in sales, but I think there are several questions that could be answered from an HR perspective using Data.
hi derek, i am an undergrad CS student , in his final year.during my vacations , i am looking forward to watching your lecture series, will it be helpful in pursuing a career in data science, as i am interested in completing my masters in this field ,i saw your video for a few mins , your advice will be highly appreciated, thanks.
+nikhil yadav Thank you for taking the time to check out my videos. If I can be of an assistance in any way, please don't hesitate to reach out. I would be glad to help.
+miguel meza jr Thank you for the feedback. I am going to try and come up with a better long term solution to fix the audio issues and I may have to rerecord all of the videos. Hopefully this isn't too much of a deterrent for you in the meantime.
I bought an audio boosting software and was able to listen to the entire series. Thank you so much for making these videos. I learned a lot and your material is very approachable for beginners.
Derek Kane Yes sir thank you for the video. But I have had to come back to this video many times because the background noise for 2hours straight makes me feel like I'm going crazy
How to develop predictive analytical approach to a problem...Specifically to engineering to order sector to predict material take off. Thanks in advance
+goverdhan kothari Thank you for the feedback and I appreciated this. I debated whether I should include this at all but I eventually thought it might be good to plant the seed for those who might be interested in doing some deep diving later on.
+Jimmy Vivas Absolutely. Keep an open mind, learn to code a little bit, and keep pressing forward. The sky is the limit but you have to put in the effort. You got this!!! Carpe Diem.
Education is always the biggest hurdle at first. Hopefully we can show them the value of the techniques and build upon a series of small wins that gets everyone comfortable.
+Graham Stewart I originally recorded the videos using PowerPoint and unfortunately the audio quality is a little poor. I am hoping to spend some time to rework the lectures and add some more professional polish, particularly with the audio. In the meantime, I hope that you can still work with what is available. Good luck and thanks for watching.
Hi Derek, cleaning up the audio will actually be really easy. I highly recommend Audacity (free, open-source). With it, you can simply select a region of noise (~1 sec of audio with no speech), and use that information to clean up the entire file.
