Description

The Science of Flight – The Great Courses

The Science of Flight – The Great Courses
MP4 | Video: AVC 1280×720 | Audio: AAC 48KHz 2ch | Duration: 14.5 Hours | 12.4 GB
Genre: eLearning | Language: English
Many of us board a plane without understanding what a truly extraordinary experience flight is: suspended 30,000 feet or more in the air, propelled to our destination at close to the speed of sound, protected from extreme cold and low pressure by the thin skin of the aircraft. We realize its complicated, but few of us know how it works. Even more remarkable is space flight, the rocket science that we use as a benchmark of difficulty or complexity.

The Solution

Data science is a multidisciplinary field. It encompasses a wide range of topics.

• Understanding of the data science field and the type of analysis carried out
• Mathematics
• Statistics
• Python
• Applying advanced statistical techniques in Python
• Data Visualization
• Machine Learning
• Deep Learning

Each of these topics builds on the previous ones. And you risk getting lost along the way if you don’t acquire these skills in the right order. For example, one would struggle in the application of Machine Learning techniques before understanding the underlying Mathematics. Or, it can be overwhelming to study regression analysis in Python before knowing what a regression is.

So, in an effort to create the most effective, time-efficient, and structured data science training available online, we created The Data Science Course 2022.

We believe this is the first training program that solves the biggest challenge to entering the data science field – having all the necessary resources in one place.

Moreover, our focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save).

The Skills

   1. Intro to Data and Data Science

Big data, business intelligence, business analytics, machine learning and artificial intelligence. We know these buzzwords belong to the field of data science but what do they all mean?