Data Analysis

This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density [...]

Generative AI is a disruptive technology and its impact has been immense. It is causing businesses to rethink customer strategies and redesign their products, chipmakers are scrambling to keep up with the increased demand for processors, and in academia, educators are altering learning paths and curriculums in every field [...]

This short course is designed for anyone seeking to unlock the full potential of Tableau Public, a leading data visualization tool. Starting from the fundamentals, you will progress through each module, gaining hands-on experience in importing, exploring, and visualizing data.

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis. In this course, you’ll apply Excel’s native tools to structure your data into spreadsheets and tables. You’ll then analyze and produce insights from that data using pivot tables. [...]

This comprehensive course unravels the potential of generative AI in data analytics. The course will provide an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications regarding the data analytics landscape.

The Data Science in Business course equips participants with the tools and techniques to leverage data for informed decision-making in the corporate world. Covering data analysis, and data-driven strategies, this course empowers individuals to extract valuable insights, enhance business processes, and drive strategic initiatives through data-driven approaches. Combining theoretical [...]

This course introduces the necessary concepts and common techniques for analyzing data. The primary emphasis is on the process of data analysis, including data preparation, descriptive analytics, model training, and result interpretation.

This course will guide you on how to prepare for the DP-203: Data Engineering on Microsoft Azure certificate exam.

Statistical analysis is an indispensable aspect of data analysis because it allows us to collect, review and analyse data to draw valuable conclusions in various industries. This is why the market for statisticians is projected to grow in the future. If you want to build your statistics and probability [...]