Resources

Final Review

• Final review sessions materials will be uploaded in the Google Drive folder after the sessions have been conducted.
• Comprehensive review of statistical concepts: steps, examples, purpose of topics like hypothesis testing, confidence intervals, correlation, regression, classification, two-sample inference, central limit theorem, Bayes' Rule, and more. Thanks to Francie McQuarrie for this!

Tutoring Worksheets

• Worksheets from tutoring sections are available for review.

Discussion Video Walkthroughs

• Discussion 7 -- Regression
• Discussion 8 -- Confidence Intervals and Bootstrap

Practice Exams

Midterms:

• Spring 2017 midterm, solution, and video walkthrough.
• Spring 2017 practice midterm, solution, and video walkthrough. The practice midterm is the Spring 2016 midterm, but modified to only include topics covered in Spring 2017.
• Fall 2016 midterm and video walkthrough. This exam only includes questions on topics covered in Spring 2017.

Finals:

• Spring 2017 practice final, solution, and video walkthrough. The practice final is the Spring 2016 final, but with modified solutions that use the Spring 2017 version of the datascience module.
• Fall 2016 final and video walkthrough. All topics were covered in Spring 2017.

Exam Study Guides

• The midterm study guide will be distributed with the midterm exam and the final exam.
• The final study guide will be distributed with the final exam.

Staff Solutions

To access the solutions, click on the link below and you will be directed to a Google Drive Folder with all the available solutions. You need to be signed into your berkeley.edu email account to access the solutions.

• Lab Solutions (no longer accessible)

• Homework Solutions (no longer accessible)

• Discussion Solutions (no longer accessible)

• Project Solutions (no longer accessible)

Table Functions and Methods

Name	Chapter	Description
Table	5	Create an empty table, usually to extend with data
Table.read_table	5	Create a table from a data file
with_columns	5	Create a copy of a table with more columns
column	5	Create an array containing the elements of a column
num_rows	5	Compute the number of rows in a table
num_columns	5	Compute the number of columns in a table
labels	5	Lists the column labels in a table
select	5	Create a copy of a table with only some of the columns
drop	5	Create a copy of a table without some of the columns
relabel	5	Modifies the existing table in place, changing the column heading in the first argument to the second
relabeled	5	Returns a new table with the column heading in the first argument changed to the second
sort	5.1	Create a copy of a table sorted by the values in a column. Defaults to ascending order unless "descending = True" is included
where	5.2	Create a copy of a table with only the rows that match some predicate
take	5.2	Create a copy of the table with only the rows whose indices are in the given array
barh	6.1	Draws a bar chart of the frequencies of a categorical distribution
histogram	6.2	Draws a histogram of a numerical distribution
apply	7.1	Returns an array of values resulting from applying a function to some column in a table
group	7.2	Create a copy of the table with all rows with the same values in a certain column aggregated into one row in the new table
groups	7.3	Create a copy of the table with all rows with the same value in a certain array of columns aggregated into one row in the new table
pivot	7.3	Create a copy of the table with a column for each element in the first argument and a row for each element in the second argument and aggregates values
join	7.4	Create a copy of the table that is the result of joining the columns of two tables, with a row for each shared value in the two tables
sample	9	Draws some number of rows at random from a table. By default, with replacement.
proportion_from_distribution	10.1	Returns a new table with an additional column corresponding to proportions from a random sample of some size of the proportions in a column.

Array Functions and Methods

Name	Chapter	Description
max	3.3	Returns the maximum value of an array
min	3.3	Returns the minimum value of an array
sum	3.3	Returns the sum of the values in an array
len	3.3	Returns the length (number of elements) of an array
make_array	4.4	Makes a numpy array with the values passed in
np.average	4.4	Returns the mean value of an array
np.diff	4.4	Returns a new array of size len(arr)-1 with elements equal to the difference between adjacent elements
np.sqrt	4.4	Returns an array with the square root of each element
np.arange	4.5	Returns an array of an end-exclusive range of variable step size
arr.item	4.6	Returns the i-th item in an array (remember Python indices start at 0!)
np.random.choice	8	Picks one (by default) or some number 'n' of items from an array at random. By default, with replacement.
np.count_nonzero	8	Returns the number of non-zero (or True) elements in an array.
np.append	8.2	Returns a copy of the input array with some item (must be the same type as the other entries in the array) appended to the end.
percentile	11.1	Returns the corresponding percentile of an array.