Understand foundational data analytics terminology, the role of a data analyst, and essential analytical skills and tools.
Covers the practices and processes used by junior or associate data analysts in their day-to-day jobs. Introduces key analytical skills including data cleaning, data analysis, and data visualization. Explores essential tools like spreadsheets, SQL, Tableau, and R programming. Provides an understanding of the data life cycle and the data analysis process, analytical thinking concepts, and career opportunities in data analytics.
5 minutes
5 Questions
Foundations: Data, Data, Everywhere is the first course in the Google Data Analytics Professional Certificate program. This introductory course establishes the essential groundwork for understanding data analytics and its significance in today's business environment. The course begins by defining what data analytics actually means and explores how organizations use data to make informed decisions. Students learn about the data analytics lifecycle, which includes asking the right questions, preparing data, processing information, analyzing patterns, sharing insights, and taking action based on findings. A key component of this course involves understanding the role of a data analyst and what responsibilities come with the position. Learners discover various industries where data analysts work, from healthcare to finance to entertainment, demonstrating the versatility of this career path. The course introduces fundamental concepts such as data-driven decision making, which refers to using facts and metrics to guide business strategies rather than relying solely on intuition. Students also explore analytical thinking and the five key aspects: visualization, strategy, problem-orientation, correlation, and big-picture thinking. Spreadsheet basics are covered, giving learners hands-on experience with tools they will use throughout their analytics journey. The course emphasizes the importance of fairness in data analysis and ensuring that analyses do not create or reinforce bias. Additionally, students learn about the ecosystem of data analytics tools and platforms commonly used in the industry. By completing this foundational course, learners gain a solid understanding of what data analysts do daily, the skills required for success, and how data analytics creates value for organizations. This knowledge prepares students for more advanced topics covered in subsequent courses within the certificate program, setting them up for a successful transition into the data analytics field.Foundations: Data, Data, Everywhere is the first course in the Google Data Analytics Professional Certificate program. This introductory course establishes the essential groundwork for understanding data analytics and its significance in today's business environment. The course begins by defining w…