What are some advanced or specialized courses to do to become data analyst?

Data Science, AI and ML
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After completing introductory courses and getting basic knowledge of the topics, it is time to learn more advanced topics about specifics of data analysis, and it is also time to practice what was learned.

Following are some specialized courses to follow if you want to know to learn more about the job:

Data Analytics for Lean Six Sigma

Lean Six Sigma is a method for enhancing performance by minimizing variation and systematically eliminating waste that entails a collaborative team effort. The course covers a variety of data analytic approaches that can be applied to Lean Six Sigma initiatives.

The learners will analyze and understand data collected from a Lean Six Sigma improvement project at the end of the course.

Students who want to take the data analytics course will need to set aside roughly 15 hours.

Inez Zwetsloot, an academic researcher and business consultant with a Ph.D. in industrial statistics, is the course instructor. The course discusses Lean Six Sigma, numerous data analytics methodologies, Minitab’s statistics, and a popular statistics program.

Health Information Literacy for Data Analytics Specialization

The healthcare industry is booming right now. The specialization is designed for data professionals with no prior healthcare experience who want to make a career change. First, learners must have at least two years of experience as a data analyst or IT expert before enrolling in the course.

A flexible timetable is one of the most appealing characteristics of Coursera’s data analytics course. You’ll finish the specialization in four months if you work four hours every week. With the data analytics-healthcare course, you will learn how to evaluate numerous types and sources of healthcare data, such as clinical and patient-generated data.

After finishing the specialty, learners will apply their data analytics abilities in healthcare contexts. The course includes a hands-on project to ensure that you succeed.