Resources

This page contains helpful resources for the course, including textbooks, computing setup, and where to get help.

Textbooks and Readings

Required Text

Online course notes, available on the course website. These notes will be the primary resource for the course.

Recommended References

• Probability and Statistics by DeGroot and Schervish - Comprehensive reference for probability and statistical inference
• All of Statistics by Wasserman - Concise coverage of statistical theory at an advanced level

Additional Resources

• Introduction to Probability by Blitzstein and Hwang (free online) - Excellent probability reference
• Stat 110 Lecture Videos - Probability lectures by Joe Blitzstein

Computing

This course uses Python for computational work. Here’s how to get set up:

Option 1: DataHub (Recommended for Beginners)

UC Berkeley provides DataHub, a cloud-based Jupyter environment. No installation required!

1. Go to datahub.berkeley.edu
2. Log in with your CalNet ID
3. You’re ready to go!

Option 2: Local Installation

If you prefer to work locally:

1. Install Anaconda: Download from anaconda.com
2. Launch Jupyter: Open Anaconda Navigator and click “Launch” under Jupyter Notebook
3. Required packages: Most are included with Anaconda. We’ll use:
   • numpy - numerical computing
   • pandas - data manipulation
   • matplotlib and seaborn - visualization
   • scipy - statistical functions

Python Resources

• Python Tutorial - Official tutorial
• Data 8 Python Reference - Gentle introduction
• NumPy for Beginners

Getting Help

Office Hours

Office hours are the best place to get help with problem sets and concepts. No appointment needed!

Who	When	Where
Ani Adhikari	Thursday 3:30–4:30	Evans 413
William Fithian	Monday 10am–11am	Evans 301
Ben Rabin (TA)	Monday 10am–12pm	Evans 426
Dhruv Pendharkar (Tutor)	Monday 12pm–2pm	Evans 426

Ed Discussion

Our course discussion forum is on Ed Discussion. Use it to:

• Ask questions about course material
• Clarify problem set questions
• Find study partners
• Share helpful resources

Tips for getting good answers:

• Search before posting (your question may already be answered)
• Use descriptive titles
• For problem set questions, describe what you’ve tried
• Use the appropriate category (Logistics, Problem Sets, Exams, etc.)

Tutoring and Study Groups

• SLC Drop-In Tutoring: The Student Learning Center offers free drop-in tutoring for many courses
• Study Groups: We encourage forming study groups! Use Ed to find classmates

Gradescope

All assignments are submitted on Gradescope.

• Entry code: Will be posted on Ed Discussion
• Submission format: Jupyter notebooks (.ipynb files)
• Regrade requests: Submit within one week of receiving scores

Wellness Resources

Your wellbeing matters. If you’re struggling, please reach out:

• Tang Center: uhs.berkeley.edu - health and counseling services
• Counseling: 510-642-9494 for appointments
• Crisis support: 988 (Suicide & Crisis Lifeline)
• Basic needs: basicneeds.berkeley.edu - food, housing, financial assistance

Know of a helpful resource we should add? Post on Ed Discussion or let us know in office hours!