Data science is altering data using a variety of technical analysis approaches in order to derive useful insights that a data analyst may apply to their business scenarios.
Data analytics checks existing hypotheses and information and provides answers to queries for a more efficient and successful business decision-making process.
Data Science fosters innovation by providing answers to questions that help people make connections and solve challenges in the future. Data analytics is concerned with extracting current meaning from past context, whereas data science is concerned with predictive modelling.
Data science is a broad subject that employs a variety of mathematical and scientific tools and methods to solve complicated problems, whereas data analytics is a more focused area that employs fewer statistical and visualization tools to solve specific problems.
Skills that are common in data analytics and data science:
• Basic statistical analysis
• Programming languages including java, Python, R and SQL
• Data mining
• Problem solving
• Data storytelling, often to a non-technical audience
