flagCommon Core

CC Standards Data Science

Master Common Core Data Science

Watch data science videos, practice with real-world problems

students image

Statistics was impossible until I found StudyPug. The video lessons on probability distributions clicked. Went from C to A- in one semester.

Alex Kim

pug

Why Common Core Data Science Students Choose StudyPug

The complete learning system to master data science

Search with Photo

Search with Photo

Snap a photo of any problem and get the exact lesson

Expert Video Teaching

Expert Video Teaching

Certified teachers explain every concept with clear examples

Unlimited Practice

Unlimited Practice

Thousands of practice questions with step-by-step solutions

How Common Core Students Use StudyPug

1

Select Grade Level
Select Grade Level

Choose your Common Core grade (K-12) and current math topics.

2

Get Unstuck
Get Unstuck

Upload homework problems or browse curriculum-aligned lessons.

3

Practice & Master
Practice & Master

Work through similar problems until concepts stick.

4

See Results
See Results

Track progress and watch grades improve week by week.

Common Core Data Science Help: Master Concepts FastHelp

Print

Common Core ID

Standard

StudyPug Topic

CC.HSN.Q.A.1

Use units as a way to understand problems and to guide the solution of multi-step problems; choose and interpret units consistently in formulas; choose and interpret the scale and the origin in graphs and data displays.

CC.HSN.Q.A.3

Choose a level of accuracy appropriate to limitations on measurement when reporting quantities.

CC.HSA.SSE.A.1

Interpret expressions that represent a quantity in terms of its context.

CC.HSA.CED.A.1

Create equations and inequalities in one variable and use them to solve problems. Include equations arising from linear and quadratic functions, and simple rational and exponential functions.

CC.HSA.CED.A.2

Create equations in two or more variables to represent relationships between quantities; graph equations on coordinate axes with labels and scales.

CC.HSA.REI.D.11

Explain why the x-coordinates of the points where the graphs of the equations y = f(x) and y = g(x) intersect are the solutions of the equation f(x) = g(x); find the solutions approximately, e.g., using technology to graph the functions, make tables of values, or find successive approximations. Include cases where f(x) and/or g(x) are linear, polynomial, rational, absolute value, exponential, and logarithmic functions.

CC.HSF.IF.A.2

Use function notation, evaluate functions for inputs in their domains, and interpret statements that use function notation in terms of a context.

CC.HSF.IF.B.6

Calculate and interpret the average rate of change of a function (presented symbolically or as a table) over a specified interval. Estimate the rate of change from a graph.

CC.HSF.LE.A.1

Distinguish between situations that can be modeled with linear functions and with exponential functions.

CC.HSS.ID.A.1

Represent data with plots on the real number line (dot plots, histograms, and box plots).

CC.HSS.ID.A.2

Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

CC.HSS.ID.A.3

Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

CC.HSS.ID.A.4

Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.

CC.HSS.ID.B.5

Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.

CC.HSS.ID.B.6

Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

CC.HSS.ID.C.7

Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

CC.HSS.IC.A.1

Understand statistics as a process for making inferences about population parameters based on a random sample from that population.

CC.HSS.IC.A.2

Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation.

CC.HSS.IC.B.3

Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.

CC.HSS.IC.B.4

Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.

CC.HSS.IC.B.5

Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.

CC.HSS.IC.B.6

Evaluate reports based on data.

CC.HSS.CP.A.1

Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events ("or," "and," "not").

CC.HSS.CP.A.2

Understand that two events A and B are independent if the probability of A and B occurring together is the product of their probabilities, and use this characterization to determine if they are independent.

CC.HSS.MD.A.2

Calculate the expected value of a random variable; interpret it as the mean of the probability distribution.
Complete Common Core Data Science Coverage

Data Science Lessons

102

Video Explanations

739

Practice Problems

947

Common Core Standards

100% Aligned

Why Common Core Data Science Students Love StudyPug

SAT Math Preparation

SAT Math Preparation

Practice with real SAT-style data analysis questions—be ready for test day

Certified Teachers

Certified Teachers

Learn from expert teachers who know exactly what you need for Data Science

Learn Anywhere

Learn Anywhere

Desktop, tablet, or phone—your Data Science lessons sync across all devices

Get Started Today

Success Stories

Two-way tables confused me forever. The step-by-step videos made them simple. Aced my data science final with a 95%.

Jordan Lee

The AI finds exact lessons instantly. What used to take me hours now takes minutes. Cut my homework time in half.

Taylor Martinez

Read More

Frequently Asked Questions

Everything you need to know about mastering Common Core Data Science with StudyPug

What does Common Core Data Science coverage include?

Complete data science curriculum with video lessons, practice problems, step-by-step solutions, and progress tracking for every topic including statistics, probability, modeling, and inference.

How does photo search work for data science problems?

Take a photo of any data science problem, and StudyPug finds the exact lesson teaching that concept. It's like having a personal tutor who knows exactly what you need.

Are the teachers certified US educators?

Yes! Our teachers are certified educators who understand Common Core curriculum and create lessons specifically for data science standards.

Can I use StudyPug on my phone or tablet?

Absolutely! StudyPug works on desktop, tablet, and mobile. Your progress syncs automatically so you can learn anywhere, anytime.

How will StudyPug help me prepare for the SAT?

We include SAT-style data analysis and statistics questions and teach the exact concepts you need. Students report significantly improved test scores and confidence.

How StudyPug Works
Get Started

Practice Smart, See Real Progress

Unlimited Targeted Practice
Unlimited Targeted Practice

10,000+ questions adjust to your exact skill level. Never run out of problems that challenge you.

Visual Progress Tracking
Visual Progress Tracking

See mastery percentage for every topic. Parents get weekly progress emails automatically.

Achievement System
Achievement System

Earn badges for consistency and improvement. Build learning streaks that motivate daily practice

Detailed Analytics
Detailed Analytics

Time spent, problems solved, concepts mastered. Identify exactly where more practice is needed.

student
CallToActionContent

End Math Struggles Today

Common Core standard-aligned help that actually works

Get Started
mathImage