Data analytics is a broad and practical field, with roles that can look very different from one company to the next. Some Data Analysts focus on dashboards and reporting, others on SQL analysis, product behavior, business operations, marketing performance, financial trends, or data quality. This course helps learners make sense of that landscape and translate it into a focused career direction.
The course begins with an exploration of what Data Analysts actually do across common workplace contexts. You will compare data analytics domains such as business intelligence, exploratory analysis, product and marketing analytics, operations analytics, and data quality, while learning how responsibilities shift across teams, industries, and levels of seniority.
From there, you will evaluate your own readiness for the field. Through guided reflection and research activities, you will inventory relevant hard skills such as spreadsheets, SQL, dashboarding, data cleaning, visualization, and business metrics, alongside professional skills such as communication, curiosity, problem framing, attention to detail, and stakeholder collaboration.
You will then connect that self-assessment to the job market by analyzing real data analyst postings, identifying recurring requirements, and mapping common entry paths from spreadsheets, business operations, customer-facing work, finance, marketing, or technical learning. By the end of the course, you will have selected a target data analyst direction and created a practical development plan with clear next steps for building toward it.
