Data Science_ Roles and Responsibilities | IABAC

Data Science involves analyzing and interpreting complex data to aid decision-making. Key roles include data analysts, scientists, engineers, and machine learning specialists. Responsibilities span data collection, cleaning, analysis, modeling, and communicating insights to drive business strategies.

1. Data Science: Roles and
Responsibilities
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Introduction to Data Science
Data Analyst
Data Engineer
Data Scientist
Machine Learning Engineer
Conclusion
Agenda
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3. Introduction to Data Science
Overview of Data Science
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Data science combines statistics, computer science, and domain expertise to
extract insights from data.
It plays a critical role in decision-making processes across various industries,
including healthcare, finance, and marketing.
Applications of data science include predictive analytics, recommendation
systems, and fraud detection.
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4. Data Analyst
Analyzing data sets to identify trends and insights, creating
visualizations, and generating reports to support business
decisions.
Proficiency in statistical tools, data visualization software, SQL,
and strong analytical skills.
Required Skills
Key Responsibilities
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5. Data Engineer
Designing, building, and maintaining data pipelines
for efficient data processing and storage.
Proficiency in SQL, data warehousing solutions, ETL
processes, and programming languages like Python
or Java.
Required Skills
Key Responsibilities
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6. Data Scientist
Key responsibilities include data analysis, model building, and
stakeholder communication. Must-have skills: statistics,
programming, and domain expertise.
Data Scientists analyze complex data sets to extract insights, build
predictive models, and inform decision-making.
Role Overview
Responsibilities & Skills
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7. Machine Learning Engineer
Developing machine learning models, ensuring
scalability, and deploying models to production
environments.
Strong programming skills, proficiency in machine
learning frameworks, and deep understanding of
algorithms and data structures.
Required Skills
Key Responsibilities
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8. Conclusion
Summarizing
Data Science Roles
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Data Analysts focus on interpreting data, identifying trends, and providing actionable insights.
Data Engineers build and maintain the infrastructure required for data generation, storage, and processing.
Data Scientists create advanced analytical models to predict future trends and derive insights from data.
Machine Learning Engineers design and implement machine learning models and algorithms to automate processes and enhance
decision-making.
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