Data analysis involves answering questions asked to assist in decision making. It uses existing data to uncover useful facts. Data analysis is a discipline that focuses on specific regions with specific objectives.
On the other hand, data science is concerned with identifying new problems that you may not have known needed to be addressed to drive innovation. Unlike data analysis, which focuses on testing a hypothesis, data science focuses on making connections and molding questions to provide future answers.
To put it in an analogy, data science is a factory made up of the methods and tools; data analysis is a specific production line. Focusing on data science without learning data analytics is like trying to produce by bypassing the factory production line.