Embark on a Data Science Journey
Are you eager to venture into the world of technology and embark on a fresh professional path? Are you prepared to safeguard and assist others in a completely novel manner?
Irrespective of your current position in your professional journey, this program will guide you from building essential skills to acquiring hands-on, industry-relevant expertise in just – weeks.
Enroll in this course today and accelerate your transition into a promising new career.
How do we define Data Science?
Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. In the tech industry, Data Scientists analyze large amounts of raw and processed data to find patterns that can benefit the company and drive strategic business decisions. Jobs in data science include roles such as Data Analysts, Data Engineers, Machine Learning Engineers, and of course, Data Scientists, each of which involves analyzing and interpreting complex digital data, such as usage statistics of a website, search data, or customer purchase data, to assist a business in its decision-making.
What careers can you find in Data Science?
Data Storyteller: $45,273 per year
A Data Storyteller is a professional who uses their skills in data analysis and communication to translate complex data findings into clear, engaging, and understandable narratives. They use data visualization tools, context, and storytelling techniques to provide insights and make data-driven points more compelling and accessible to a variety of audiences, aiding in decision-making and strategic planning.
Data Analyst: $74,827 per year
A Data Analyst is a professional who collects, processes, and performs statistical analyses of large data sets. Their role involves interpreting data, analyzing results using statistical techniques, and providing reports and data-driven insights to help guide business decisions and strategies. They often work with a variety of data sources and analytical tools to improve efficiency and quality of data interpretation.
Data Scientist: $123,842 per year
A Data Scientist is a professional who uses statistical methods, programming skills, and knowledge of the domain to interpret and analyze complex data, extract insights, and help inform decision-making processes. They leverage large volumes of data from various sources, apply machine learning techniques, predictive models, and create algorithms to solve business problems, identify trends, and optimize results.
Data Engineer: $131,181 per year
A Data Engineer is a professional responsible for creating and maintaining the infrastructure for data generation. Their work involves designing, developing, and optimizing data pipelines, databases, and large-scale processing systems, which allow for the collection, storage, and transformation of vast amounts of data to facilitate data analytics and decision-making processes.
