Introduction to Data Science

Learn the core concepts of data science, an interdisciplinary field dedicated to extracting knowledge and insights from structured and unstructured data through a combination of techniques from statistics, computer science, and domain-specific expertise. Learn the entire data lifecycle, from data collection and cleaning to exploratory data analysis, visualization, statistical analysis, developing and deploying models, and communicating actionable insights. Comprehend how data scientists leverage programming languages, data manipulation libraries, and machine learning frameworks to drive business intelligence, predictive analytics, data-driven decision making, and innovative research and development. This course is ideal to build a solid foundation before diving deeper into the theory and practice of more advanced coursework in data science.

Prerequisites:

Prior knowledge of programming, Python preferred
Knowledge of statistics as typically covered in an undergraduate level course

Learner Outcomes

Understand the fundamental concepts and key stages of the data science domain. Grasp the data science workflow, including data collection, cleaning, analysis, and visualization.
Perform effective exploratory data analysis and create compelling data visualizations.
Acquire solid foundation of key critical statistical concepts for robust analysis.
Apply statistical methods such as hypothesis testing, regression analysis, measures of central tendency and variability.
Avoid common data science pitfalls to enable informed data driven decisions. Identify and address issues such as overfitting, data leakage, and bias in data analysis and model building.
Attain a high-level understanding of classification and predictive analytics.
Demonstrate skills in using libraries like Pandas, NumPy, and Scikit-learn for data manipulation and analysis.
Cultivate the ability to collaborate and communicate results effectively to diverse stakeholders. Bridge the gap between technical analysis and business understanding through clear and impactful data presentations and reports.

Sections

Summer 2025 enrollment opens on March 17!

This course applies to the following programs:

Learner Outcomes

Sections

Program in Data Science

Databases & Big Data

Data Science

Data Science Capstone

Notes

English Language Proficiency Requirements

Introduction to Data Science

Learner Outcomes

Sections

Thank you for your interest in this course!

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Program in Data Science

Databases & Big Data

Data Science

Data Science Capstone