Data Analysis Fundamentals: Conclusion
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Conclusion
01.40
| 00:00 | - At this point, you should have a solid understanding of the hardware and software associated with a datalogging and analysis package. |
| 00:08 | As well as a range of techniques you can use to analyse the driver and the car. |
| 00:13 | Most importantly though you now have a simple step by step process that you can apply to quickly analyse data and find key areas in which lap time improvements can be found. |
| 00:24 | From here, you can now watch the RaceCraft data analysis process being applied from start to finish using real data in our worked example library. |
| 00:33 | This will help reinforce the lessons from the course and give you a more thorough understanding of how they're applied. |
| 00:39 | The worked examples library will be added to over time however if the cars and racetracks used in our examples don't specifically match your situation, they will still be a valuable resource to compliment the main body of this course. |
| 00:52 | Of course just like any new skill, learning how to analyse data will require time and practice to become proficient at. |
| 00:59 | But the good news is that you can practice and refine your skills every single time you head out on track. |
| 01:06 | Once you're completely comfortable with everything we've learned, you may want to step up your skills with our Advanced Data Analysis course which dives much deeper into the world of motorsport data analysis and the huge advantages it can offer when you're out on track. |
| 01:19 | If you have any questions regarding this course, then please feel free to ask them in the forum and I'll be happy to answer. |
| 01:26 | At the bottom of every module there's a form that allows you to directly ask questions on that module to the forum. |
| 01:32 | The great thing about asking your questions here is it means that everyone else can benefit from the conversation too. |
