Technical Skills|Non-Technical Skills for Data Science

1. Programming Language:-Python is one of the simplest and most common languages for beginners to start studying. Its open-source programming and a wide community.Data scientists’ top priority language because it has a simple syntax and in build libraries
2. SQL Database :- Structured query language is a programming language which helps in operations like add, delete and extract data from a database and also helps in analytical functions and change database structures. It helps to give insights when a query is used in a database. It helps in time management and subdue the burden of large programming needed to perform difficult queries.
3. HADOOP PLATFORM:-This platform helps to transmit data to several points on a system. It is also used to explore data, filter data, sample data and summarise it.
4. MACHINE LEARNING AND AI:-Machine learning skills like supervised machine learning, decision trees, logistic regression, etc. give a boost to the individuals who are pursuing to be data scientists.These skills help solving complex problems based on predictions of various outcomes.
5. DATA VISUALIZATION:- There are many data visualization tools like ggplot, d3.js and Matplotlib and Tableau which can help a data scientist to visualize data. It helps organisations to give insights about data by converting complex results from projects and help them to act accordingly towards new business opportunities.

Non-Technical Skills

● Attention to Main

● Organization skills

● Problem-Solving

● Desire to Learn

● Resilience and focus

● Communication and Teamwork

● Intellectual curiosity

● Business acumen

“ EVERYTHING STARTS WITH ZERO, DON’T THINK MUCH ”