Data science is a multidisciplinary area of knowledge applied when trying to extract insights and information from data, to help with decision-making. Dealing with large datasets (Big Data), Data Science is a field that encompasses anything related to data cleansing, preparation, and analysis.
The disciplinary areas that make up the data science field include mining, statistics, machine learning, analytics, and some programming. Data mining applies algorithms in the complex (unstructured or structured) data set to reveal patterns which are then used to extract useable and relevant data from the set. Statistical measures like predictive analytics utilize this extracted data to predict what’s likely to happen in the future based on what the data shows happened in the past. Machine learning perfects the decision model presented under predictive analytics by matching the likelihood of an event happening to what actually happened at the predicted time. The data scientists job is to interpret, convert and summarizes the data to a cohesive language that the decision-making team can understand.
Skills needed to succeed as a Data Scientist:
- Strong quantitative background (math and statistics)
- Understanding machine learning techniques
- Proficient at programming in R or Python.
- Database knowledge (SQL, NoSQL and more)