What will you learn in What is Data Science? Course
Define data science and its role in solving real-world problems.
Describe the data science lifecycle: from problem formulation to data collection, analysis, and deployment.
Identify common tools and environments used by data scientists (Python, Jupyter, Git, SQL).
Understand key roles on a data science team and collaboration dynamics.
Recognize the ethical and societal implications of data-driven decision-making.
Program Overview
Module 1: Introduction to Data Science
⏳ 1.5 hours
Topics: What is data science; examples of data-driven projects; the impact of data science across industries.
Hands-on: Reflect on use cases in your own organization and sketch a simple data-driven question.
Module 2: Data Science Tools & Ecosystem
⏳ 2 hours
Topics: Overview of Python, Jupyter notebooks, Git/GitHub, SQL databases, and basic command-line workflows.
Hands-on: Launch a Jupyter notebook, run sample Python cells, and explore a GitHub data repository.
Module 3: The Data Science Lifecycle
⏳ 2.5 hours
Topics: Defining the problem, acquiring and cleaning data, exploratory data analysis, modeling basics, and deployment concepts.
Hands-on: Outline each step for a sample project and perform a brief data inspection in Python.
Module 4: Roles, Teams & Ethical Considerations
⏳ 1.5 hours
Topics: Data scientist vs. data engineer vs. ML engineer; teamwork and communication; ethics, bias, and privacy in data science.
Hands-on: Conduct an ethical risk assessment for a hypothetical predictive model.
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Job Outlook
Roles: Data Scientist, Data Analyst, Analytics Consultant, and Machine Learning Engineer.
Demand: Continued growth across technology, finance, healthcare, and retail—LinkedIn lists over 150,000 open data science roles in the U.S. alone.
Salaries: Entry-level data roles average $75K–$95K USD, rising to $120K+ for experienced data scientists and specialized engineers.
Growth: Mastery of the data science lifecycle and tooling opens pathways into leadership positions in AI and analytics.
Specification: What is Data Science?
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