
edXData science begins with fluency in two languages: Python (to automate analysis) and statistics (to interpret results). This course builds both in tandem, starting with Python syntax and progressing through the statistical foundations that let you answer business questions rigorously.
You'll learn to write programs that crunch data automatically, move through descriptive analytics (tables, charts, summaries), and understand the probability distributions that underpin prediction. Linear correlation and regression round out the fundamentals—practical tools that appear in every analyst's toolkit.
The focus is pragmatic: you'll solve actual business problems, not chase theory.
Gaining working knowledge of Python syntax. ,Writing Python codes to automatically execute multiple tasks. ,An overview of data analysis for business: an introduction and review of methods to describe data using tables, charts and summary measures. ,Random Variables and Normal Probability Distribution. ,Linear Correlation and Regression Line.
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