This course will teach you internationalization and localization techniques so you can take your Angular application to a world-wide audience.

Gain the appropriate skills to create successful internet marketing in this course.

Explore IoT intelligence at the device, edge, and cloud levels. Learn Python programming and data analytics for IoT applications in this intermediate-level course.

There is a significant rise in the amount of threats that IoT solutions are facing. This course will teach you the fundamental risks prevalent in the IoT space as well as the skills and techniques to assess and mitigate them.

The Internet of Things (IoT) is a rapidly evolving field and has changed from an unimaginable sci-fi dream to a very realistic future. This course will teach you the basics of IoT and help you to keep up with the latest developments in the IoT field.

Discover how IoT devices revolutionize businesses by enhancing customer experience, boosting sales, and improving operations across manufacturing, marketing, and distribution.

This course covers measures of central tendency and dispersion needed to identify key insights in data. It also covers: correlation, covariance, skewness, kurtosis, and implementations in Python libraries such as Pandas, SciPy, and StatsModels.

Learn how to compute and interpret some of the most powerful statistical measures across a variety of industries. From mean, median and mode to variance and percentiles, make an impact efficiently in businesses and organizations.

This course introduces the most important methods and concepts from statistics with applications in the R programming language. We cover the fitting of statistical models to data, statistical testing, and prediction.

This course covers techniques from inferential statistics, including hypothesis testing, t-tests, and Pearson’s chi-squared test, along with ANOVA, which is used to analyze effects across categorical variables and the interaction between variables.

Machine Learning is changing the world and at the very core of machine learning are advanced statistical models. With this course, you will know how to create an ML application for problems that appear at your work and understand the basis behind it

Data is everywhere and we always hear about statistics, even if we do not realize it! Over this course we will shape up our statistical knowledge; going from zero to hero analyzing complex patterns of everyday real-world problems.