This $ 40 computer training includes courses in Python, Linux and more


This content is made possible by our sponsor; it is not written by and does not necessarily reflect the views of Engadget’s editorial staff.

Learning basic computer, data science, or programming skills is necessary if you want to work in a technical field, but using them outside of these environments can improve your productivity and efficiency in the workplace. Not to mention that employers value these talents, so acquiring any of these disciplines can help your resume stand out or even place your name at the top of the list in the next promotion season.

If you’re interested, the 2021 Comprehensive Computer Training Pack will be worth it . This bundle includes 212 hours of curated classes on Python, Tensorflow, Data Analysis, Applied Probability, and more.

The bundle begins with “Python Data Science,” a hands-on, hands-on course that will teach you exactly how to use this language in data science and machine learning with data analysis, visualization, and practical applications of your results. By the end of the course, you will know how to implement Python in a professional programming environment.

One of the most advanced courses is offered by , a programmer, researcher and instructor whose decades of in-depth research experience earned him an average rating of 4.4 out of 5 from Udemy students. Nauman’s course, “Applied Probability / Statistics for Computing, DS & ML,” offers a code-oriented approach that will give you a solid basic knowledge of data science and machine learning. This includes the concepts of statistics and probabilities which are paramount in the field of computing.

In addition to these skills, Also covers Linux command line basics, CSS web styling, discrete math, and more. The nine courses in this collection can be , or less than $ 5 per class.

Prices are subject to change.

Engadget teams up with to bring you deals on the latest headphones, gadgets, tech toys and tutorials. This post does not constitute editorial approval and we earn a portion of all sales. If you have any questions about the products you see here or about previous purchases, please contact StackSocial support here.



Source link

Leave a Reply

Your email address will not be published. Required fields are marked *