Ever wondered what skills you need to be a data Scientist? Today we look at some of the major concepts you should be knowing.
- Statistics : Statistical knowledge is a must as data scientists regularly apply statistical techniques and concepts. It helps in analysing and sorting data to find useable metrics and Key Performance Indicators (KPIs). Statistics is also used heavily for testing and validating hypothesis and for developing predictive models, forecasting etc. for businesses.
- A coding language : Data scientists should be familiar with at least the basics of coding, if not proficient. The most used language today is Python because it is beginner friendly and has access to powerful libraries such as ‘pandas’ & ‘matplotlib’. Languages such as R and querying language like SQL are also used.
- Data Preparation: While the greater part of the information arrangement errands fall on data engineers, Data Scientists can benefit from having the option to do fundamental information profiling, purging and demonstrating assignments. Data analysts and data scientists often work on data from data warehouse or data lake while developing metrics and models. Hence data cleaning and wrangling like identifying missing values, outliers, duplicates, mapping data etc. are important tasks for data scientists whether they do it on their own or guide the team of data engineers to get it done.
- Data Visualisation: Information perception is a basic piece of any Data Scientist’s everyday work. You will be expected to transform threatening dividers of mathematical and printed data into more open outlines, guides and diagrams for other people to get a handle on patterns and information designs without an excessive amount of clarification. Using data visualization to connect the dots and tell stories to understand what is going on in the business and what are the trends are important qualities. Tools like Tableau, Power BI, Qlik etc. are tools that data scientists and data analysts use for data visualization.
- Machine Learning & Deep Learning: While all jobs won’t require you to be proficient in AI, ML or DL, Data Scientists are progressively being employed by organizations to develop and carry out AI applications and those skilled in ML & DL are demanded more.
If you are aspiring to get into data science consider developing the above skills. Whether you develop these skills on the job or learn through training programs, these 5 skills will keep you well-positioned in your data science career.
Learn Data Science Skills at Data Brio Academy
To establish a successful career in data science, you need a solid foundation. At Data Brio Academy, you’ll learn the necessary skills from the Data Science course in Kolkata and start your journey towards success. Our world-class industry leaders as mentors will teach you tools and techniques needed for data manipulation, exploration, and visualization. You’ll become an expert in statistical analysis and predictive analytics and you’ll also learn to use Machine Learning models for accurate analysis.
If you are passionate about data science, learn and master the above-mentioned technical skills to drive your professional career.