![]() ![]() This may sound trivial, but having sat through quite a number of LinkedIn Learning and Udemy courses, I must say the speech of the instructor is often overlooked when people are giving reviews. One useful code I expect to use is the number generator. Of course, if the code is too complicated, we can always copy the code wholesale, as long as we know what to use it for. Instead, a knowledge used in one function can also be applied in another function, or in a loop, for example. Most of the time, he edited the code onscreen to demonstrate the flexibility of Python and to weave through the idea that different aspects of Python are not standalone pieces. And I must say that expectation was well met.īill uses exercise files to go through the meaning and uses of the codes. With so much content under 5 hours, I was expecting a very quick and brief overview of the features and uses of Python codes. ![]() Comprehensive, Well Organised Content In Under 5 Hours Based on my previous knowledge of C++, the arch of the content also looked comprehensive enough. However, the information was well-organised and categorised into distinct topics, like “Types and Values”, “Functions” and “Structured Data”. It was by far the most content-intensive course I had chosen. ![]() When I looked at the Content page, 15 chapters of lessons sprung up. Therefore, the published time of under 5 hours tipped me to “Python Essential Training”. At the same time, I studied C++ 10 years ago, so I believed all I needed was a crash course, rather than a hand holding session. I only wanted to be sure I know enough about Python to start my Data Analytics learning. Since its commencement, it had been viewed by over 280,000 members and Liked by more than 10,000 members.Īdmittedly, I was looking for an easy way out. “Python Essential Training” by Bill Weiman was one of the more recent and comprehensive Python basics course on LinkedIn Learning. What’s Good About “Python Essential Training” Quick Overview Of Python It was then I decided to search for, and picked this course “Python Essential Training” by Bill Weiman. However, the suggested courses were pegged at “Intermediate” and recommended having basics of the programming language as a prerequisite. The course had suggested courses for using Python and R for data analysis, and I chose to start with Python first. It was a 42-minute session going through the various aspects of Data Analytics and courses that the LinkedIn Learning Curated. Through my interaction with experts during my course of work for the past few years, I learned that not only does one need to be good in Statistics, but Data Analysts also rely a lot on software, and “R” and “Python” gets thrown up in conversations regularly From an outsider sitting in the discussions, I knew enough, but not deep enough.Īfter signing on to LinkedIn Learning, I went through an introductory course on Data Analytics, called “LinkedIn Learning Highlights: Data Science and Analytics”. I started off with the intention of learning Data Analysis. My selection process for taking courses on LinkedIn Learning was multi-stepped. Why I Chose “Python Essential Training” by Bill Weiman
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