Data science is the use of mathematical and statistical methods, machine learning algorithms, and other techniques to extract meaning and actionable insights from data. It typically requires a background in a quantitative discipline, such as statistics, mathematics, physics, or computer science, and involves working knowledge of the methods, processes, algorithms, platforms, languages, and techniques used to build models and explore data. In addition to technical skills, data science also requires soft skills such as communication, public speaking, and stakeholder management. These skills are important for effectively presenting findings and working with a variety of stakeholders to drive action based on the insights obtained from data. The following are common data science skills.
| Algorithms | Analytics |
| Backtesting | Big Data Platforms |
| Business Analysis | Business Intelligence |
| Calculus | Cloud Platforms |
| Coding | Cohort Analysis |
| Data Aggregation | Data Analysis |
| Data Architecture | Data Classification |
| Data Cleaning | Data Communication |
| Data Exploration | Data Flows |
| Data Harmonization | Data Historians |
| Data Ingestion | Data Integration |
| Data Intuition | Data Lineage |
| Data Management | Data Mining |
| Data Models | Data Visualization |
| Data Wrangling | Databases |
| Decision Modeling | Decision Trees |
| Deep Learning | Deployment |
| Distributed Processing of Large Datasets | Ensemble Methods |
| Executive Communication | Experiment Design |
| Extract | Forecasting |
| Information Security | Interdisciplinary Learning |
| Linear Algebra | Linear Models |
| Machine Learning | Markov Chain Monte Carlo (MCMC) |
| Monitoring Model Performance | Multivariate Analysis |
| Neural Networks | Predictive Analytics |
| Prescriptive Analytics | Presentations |
| Probability Distributions | Problem Framing |
| Product Development | Public Speaking |
| Random Forests | Regression Analysis |
| Requirements Gathering | SQL |
| Sampling Methods | Scripting |
| Stakeholder Management | Statistical Hypothesis Testing |
| Statistical Learning | Statistical Software |
| Statistics | Statistics Platforms |
| Stochastic Models | Structured Thinking |
| Testing | Transform & Load (ETL) |
| Trend Analysis |
