Data Science has become a buzzword in the IT software industry. The growing demand for Data Science has made it a popular career option among fresher and working professionals. The job title of a Data Scientist is termed as the sexiest job title of the 21st century. However, there are still a lot of people who aren’t completely aware of what is Data Science and what exactly does Data Scientist does.
What Is Data Science?
Data Science is an interdisciplinary field that makes use of concepts in programming, mathematical, statistical, and analytical concepts. The process of Data Science involves a sequence of steps like gathering, processing, analyzing, deriving, and visualizing the insights extracted from data. The primary focus of Data Science is to make accurate interpretations from data, see patterns, and predict the future. Data Science plays a crucial role in enterprises’ decision-making process & Data Scientists are considered a valuable resource of an organization.
What Do Data Scientists Do?
Data Scientists are skilled Data Science experts whose work revolves mainly around Big Data. Data Scientists need to Collect, Analyze, Manage, Visualize, Store data and support business stakeholders in making accurate data-driven business decisions. Major responsibilities of a Data Scientist include
Collecting relevant data to solve data-related problems
Cleaning the data and making it ready for processing
Integrating and storing data
Performing Exploratory Data Analysis (EDA)
Building data models and using relevant Machine Learning algorithms
Analyzing the metrics and improving the process
Visualizing the insights and communicating the findings to stakeholders
What Projects Can Data Scientists Handle?
A skilled Data Scientist can handle any project irrespective of its degree of complexity. Here below are some of the basic projects which Data Scientists can handle
1. Data Cleaning
Data Cleaning is one of the responsibilities of a Data Scientist. To ensure precise end results, Data Scientists need to make sure that whatever data they are working, it needs to be free from any form of anomalies So, if you are a budding Data Scientist, you can start by working on a project that deals with messy datasets that need to be cleaned.
2. Exploratory Data Analysis
Exploratory Data Analysis (EDA) is a crucial skill set in the inventory of a Data Scientist and it requires them to look beyond hypothesis by summarizing major points. Your keen analysis skills will be playing a crucial role n this aspect & you can take up any project that would put your EDA skills to the test.
3. Interactive Data Visualization
Just like EDA, Data Visualization is also another crucial skill set in the inventory of a Data Scientist. Data Scientists can perform data visualization operations using interactive data visualization dashboards like Tableau.
As Data Science is considered the hottest skill in demand, this is the perfect time to get started with the process of developing skills in this field. You can leverage deep technical expertise in Data Science with our advanced Data Science Course in Hyderabad program by Analytics Path.