1. Data analysis: Data analysis is the process of examining, cleaning, transforming, and modeling data in order to uncover insights, make informed decisions, and support business objectives. This skill involves using various statistical and analytical techniques to interpret data and draw meaningful conclusions. 2. Programming: Programming skills involve the ability to write, debug, and maintain code in various programming languages such as Python, R, SQL, Java, or C++. This skill is essential for manipulating and analyzing data, building predictive models, and developing software applications. 3. Machine learning: Machine learning is a subfield of artificial intelligence that focuses on developing algorithms and models that can learn from and make predictions or decisions based on data. This skill involves understanding different machine learning techniques such as supervised learning, unsupervised learning, and reinforcement learning, as well as applying them to analyze and extract insights from data. 4. Statistical analysis: Statistical analysis involves using statistical techniques to analyze data, draw inferences, and make predictions. This skill is crucial for interpreting research findings, testing hypotheses, and making data-driven decisions. 5. Data visualization: Data visualization is the practice of representing data in visual formats such as charts, graphs, and dashboards to communicate insights effectively. This skill involves using tools like Tableau, Power BI, or Matplotlib to create visually appealing and informative data visualizations. 6. Research methodology: Research methodology encompasses the principles, procedures, and techniques used to conduct scientific research. This skill involves developing research plans, collecting and analyzing data, evaluating results, and drawing valid conclusions. 7. Data mining: Data mining is the process of discovering patterns, trends, and insights in large datasets using statistical and machine learning techniques. This skill involves extracting valuable information from complex data and turning it into useful knowledge for decision-making.