Data Exploration
- Free to audit
- Paid certificate
- Intermediate
- 4 weeks
Data Exploration is a four-week BerkeleyX course taught by Richard Huntsinger and belongs to UC Berkeley's Data, Statistics and Programming for Business Decisions sequence (course code DATA88B.1x). It teaches you to explore, visualise and summarise data in Python to support business decisions, working through real-world case studies drawn from several industries. Topics run from Python basics for data exploration through probability, averages, weighted averages and percentiles, to data analysis for business applications, visualisation with histograms, bar charts and scatter plots, and simulation methods for forecasting outcomes. edX classes it as intermediate and self-paced at four to eight hours a week; no prerequisites are listed on the page.
The audit track is free for the course's estimated length in weeks from the day you enrol and excludes graded work and the certificate; a verified certificate costs $130, the lowest price among the BerkeleyX courses listed here. Instruction is in English with English transcripts. Inferential Statistics and Linear Regression continue the sequence.
What you’ll learn
- Use Python basics to load and explore a dataset
- Compute probabilities, averages, weighted averages and percentiles
- Summarise data for business decisions using real case studies
- Visualise data with histograms, bar charts and scatter plots
- Run simulations to forecast possible outcomes
Who it’s for
Business-minded learners with a little programming exposure who want to analyse data in Python; the sibling courses on inferential statistics and linear regression continue the sequence.
Instructor
- Richard Huntsinger Distinguished Teaching Fellow and Professional Faculty
Course details
- Skills covered
- Finance
- Case Study
- Data Science
- Jupyter
- Python (Programming Language)
- Real World Data
- Decision Making
On edx.org
104 enrolled, as shown on the course page on 20 Oct 2026. These are edx.org’s own figures, not ours.
Source: BerkeleyX (opens in a new tab) · Verified · Report a change
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