Learning a programming language sounds like it could be an overwhelming proposition, but it doesn’t have to be.
Learning Python is easier than other programming languages because it is so user-friendly. It is also human-readable, which makes it far easier to learn and understand. This is why it is a good option for beginners and first-timers.
The biggest reason that most people want to take a Python course is that it helps to advance their career. Data science is one of the most important and fastest-growing fields in terms of both employment and everyday living. Data science drives almost everything we do today.
Data science is one of the hottest fields to go into today. With the job market changing so quickly, now is the time to start if you want to build a career or change career paths. Enrolling in LUX’s Python for Data Science Course is the best way to get started. Python is by far the easiest programming language for beginners to learn, and LUX makes it easy to learn anything you want online.
With LUX, you get the best of two different learning environments. First, you can access the course online, which gives you plenty of freedom to work from home and be stress-free. It also gives you state-of-the-art classroom learning with top-notch instructors.
Python for Data Science
For those who have taken Introduction to Data Science, learning Python is the next step. More than just learning Python and understanding its uses, in this course, you will understand and be able to apply what you have learned. Furthermore, you will be able to use Python programming techniques for data science, meaning you will be able to develop, design, and implement Python programs.
This course teaches you the difference between different data types as well as how to read and write files. Furthermore, you will fully understand Python’s core built-in standard data structures so that you can apply them in practical ways in the field of data science.
The course is taught by Christopher Gantz, a computer engineering and investment management expert. He has worked extensively on quantitative analytic software mode projects that design, implement, test, integrate and maintain software and databases. The course lasts four days and gives you six hours of learning each day. Classroom work includes teacher instruction as well as plenty of hands-on experience for real-world learning.
You might have heard that some people are self-taught, but that is no way to gain professional credentials. To gain a real understanding of data science and increase your earning potential and employment opportunities, sign up for LUX Whittier’s Python for Data Science course now!