Data Science - D3Hub

Role of a Data Science

A Data Scientist’s roles and responsibilities include extracting data from multiple sources, using machine learning tools to organize data, process, clean, and validate the data, analyze the data for information and patterns, develop prediction systems, present the data in a clear manner, and propose solutions and strategies.

Data Collection: Gathering relevant data from various sources, which can include databases, APIs, sensors, logs, and more.

Data Cleaning & Preprocessing: Cleaning and organizing the data to remove errors, handle missing values, and prepare it for analysis.

Exploratory Data Analysis(EDA): Understanding the characteristics and patterns in the data through statistical and visual methods.

Feature Engineering: Selecting, transforming, or creating new features that enhance the performance of machine learning models.

Machine Learning: Applying algorithms and statistical models to the data to develop predictive models or uncover patterns and insights.

Data Visualization: Representing data through charts, graphs, and other visualizations to communicate findings effectively.

Model Deployement: Implementing models into production systems for real-world use.

Big Data Technologies: Dealing with large-scale datasets using technologies like Hadoop and Spark.

Domain Knowledge: Domain knowledge is crucial for interpreting results in context and making data-driven decisions that align with organizational goals.