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Statistics

Sean Laraway, Ronald Rogers, and Katie Kormanik

Take Udacity's online statistics course and learn how to use statistics to interpret information and make decisions. Learn online with Udacity.

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What's inside

Syllabus

Orientation!

Orientation Problem Set

Intro to statistical research methods

Problem Set 1: Intro to statistical research methods

Visualizing data

Problem Set 2: Visualizing data

Google Spreadsheet Tutorial

Central tendency

Problem Set 3: Central tendency

Variability

Problem Set 4: Variability

Lessons 1-4 Review/Assessment

Standardizing

Problem Set 5: Standardizing

Normal Distribution

Problem Set 6: Normal Distribution

Sampling Distributions

Problem Set 7: Sampling Distributions

Estimation

Problem Set 8: Estimation

Hypothesis testing

Problem Set 9: Hypothesis testing

Lessons 5-9 Review/Assessment

t-Tests

Problem Set 10: t-Tests

t-Tests continued

Problem Set 11: t-Tests continued

One-way ANOVA

Problem Set 12: One-way ANOVA

ANOVA continued

Problem Set 13: ANOVA continued

Correlation

Problem Set 14: Correlation

Regression

Problem Set 15: Regression

Chi-Squared tests

Problem Set 16: Chi-Squared tests

Lessons 10-16 Review/Assessment

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds a strong foundation for students completely new to the field of statistics

Will help students who want to enter a field where using data is necessary

Is multi-modal and includes a mix of materials such as videos, readings, and practice problems

Will strengthen an existing foundation for students already comfortable with basics of statistics

Covers a comprehensive amount of foundational statistics topics

Offers hands-on practice throughout the course, which will help students retain information and build skills

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Statistics with these activities:

Review Course Materials

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Review course materials to prepare yourself for the course content and identify areas where you may need additional support.

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Read the course syllabus and note the topics that will be covered.
Review the textbooks, lecture notes, and any other course materials that are available.
Make a list of any questions or areas where you need clarification.

Study Probability Theory

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Study probability theory resources to build a stronger foundation before the course begins.

Browse courses on Probability Theory

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Watch free video lectures on probability theory from Khan Academy or MIT OpenCourseWare.
Read introductory textbooks or articles on probability theory.
Practice solving probability problems from textbooks, online resources, or workbooks.

Read "Statistics for People Who (Think They) Hate Statistics"

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Read this introductory book to statistics to build a foundation and make the course content more accessible.

View Statistics for People Who (Think They) Hate... on Amazon

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Obtain a copy of the book from a library or bookstore.
Read each chapter thoroughly, taking notes and highlighting important concepts.
Complete the practice exercises and review questions at the end of each chapter.

Four other activities

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Form a Study Group

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Form a study group with classmates to discuss course topics, solve problems, and support each other's learning.

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Identify classmates who are interested in forming a study group.
Set regular meeting times and locations.
Divide up responsibilities for reviewing different course materials.
Meet regularly to discuss the material, work on problems, and quiz each other.

Practice Central Tendency Calculations

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Practice calculating central tendency measures to improve understanding and recall.

Browse courses on Central Tendency

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Find online exercises or worksheets that focus on calculating mean, median, and mode.
Download practice problems from the course materials.
Set a timer and challenge yourself to solve as many problems as possible within the time limit.

Attend a Statistical Analysis Workshop

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Attend a workshop to gain hands-on experience with statistical analysis tools and techniques.

Browse courses on Statistical Analysis

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Research and identify statistical analysis workshops in your area.
Register for a workshop that aligns with your interests and skill level.
Attend the workshop and actively participate in the exercises and discussions.

Design a Statistical Data Visualization

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Create a statistical data visualization to demonstrate your understanding of data interpretation.

Browse courses on Data Visualization

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Choose a dataset that is relevant to your interests or the course content.
Research different types of data visualizations and select the most appropriate one for your dataset.
Use software or online tools to create your data visualization.
Write a brief report or presentation that explains your visualization and its implications.

Career center

Learners who complete Statistics will develop knowledge and skills that may be useful to these careers:

Statistician

A Statistician designs, develops, and executes surveys, experiments, and other studies to collect and analyze data. The results of studies by a Statistician can be used to improve products, services, and processes, and predict future trends. This course can help someone who wants to be a Statistician by introducing them to essential statistical concepts, methods, and tools, and providing them with the opportunity to practice using these tools.

See salaries and explore the career path for Statistician

Data Scientist

A Data Scientist uses scientific methods to analyze data and extract insights and make predictions. Data Science combines data analysis, machine learning, and statistics. A Data Scientist uses statistical techniques to clean and prepare data and build models.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst takes vast amounts of data and interprets meaning from it, making it easier to understand. A Data Analyst converts incomplete, inconsistent data into valuable information through analysis. Statistical methods are an important tool Data Analysts use to perform their tasks. Becoming proficient in statistics can help a Data Analyst advance their career and to break into the field in the first place.

See salaries and explore the career path for Data Analyst

Biostatistician

A Biostatistician is a statistician who applies statistical methods to data in the field of biology, medicine, and healthcare. A Biostatistician may work in a variety of settings, including hospitals, universities, and pharmaceutical companies.

See salaries and explore the career path for Biostatistician

Business Analyst

A Business Analyst defines problems and proposes solutions. A Business Analyst must analyze business data, identify problems, and develop solutions in order to help businesses improve their performance. A course in Statistics can help a Business Analyst do all of these things. Business Analysts also benefit from the ability to visualize data.

See salaries and explore the career path for Business Analyst

Actuary

An Actuary evaluates risks and predicts the likelihood of events to help companies make financial decisions. To do this, an Actuary uses statistical methods to analyze data and make predictions. Actuaries also use statistical techniques to develop and price insurance products.

See salaries and explore the career path for Actuary

Survey Researcher

A Survey Researcher designs and conducts surveys to collect data about a population. A Survey Researcher might work for a market research firm, a polling organization, or a government agency. This course teaches skills that are essential for success as a Survey Researcher, including how to design a survey, collect data, and analyze results.

See salaries and explore the career path for Survey Researcher

Market Researcher

A Market Researcher collects and analyzes data about customers, competitors, and other aspects of the market in order to help a company make informed decisions. A Market Researcher uses statistical methods to design and conduct surveys, analyze data, and present findings.

See salaries and explore the career path for Market Researcher

Financial Analyst

A Financial Analyst uses financial data to assess the performance of companies and make investment recommendations. A Financial Analyst might also create models to predict future stock prices and make buy, sell, or hold recommendations. Understanding Statistics is essential for success as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Epidemiologist

An Epidemiologist investigates the causes and patterns of health and disease in a population. To do so, an Epidemiologist will typically collect and analyze data from a variety of sources. Statistical skills are essential for an Epidemiologist to accurately collect and interpret data.

See salaries and explore the career path for Epidemiologist

Clinical Research Associate

A Clinical Research Associate manages clinical trials for new drugs and medical devices. A Clinical Research Associate may also collect and analyze data from clinical trials or monitor the safety of new drugs and medical devices.

See salaries and explore the career path for Clinical Research Associate

Psychometrician

A Psychometrician develops and uses statistical methods to measure psychological traits and abilities. A Psychometrician may work in a variety of settings, including universities, hospitals, and consulting firms. This course may be helpful to someone who wants to be a Psychometrician because it introduces essential statistical concepts and methods.

See salaries and explore the career path for Psychometrician

Quantitative Researcher

A Quantitative Researcher develops and uses mathematical and statistical models to analyze data and make predictions. A Quantitative Researcher may work for a hedge fund, a bank, or a consulting firm. This course may be helpful to someone who wants to be a Quantitative Researcher.

See salaries and explore the career path for Quantitative Researcher

Quality Assurance Analyst

A Quality Assurance Analyst ensures that products and services meet quality standards. A Quality Assurance Analyst may work in a variety of industries, including manufacturing, healthcare, and software development. This course may be helpful to someone who wants to be a Quality Assurance Analyst because it introduces essential statistical concepts and methods.

See salaries and explore the career path for Quality Assurance Analyst

Operations Research Analyst

An Operations Research Analyst uses mathematical and statistical techniques to solve complex problems. Operations Research Analysts work in a variety of industries, including manufacturing, healthcare, and finance. This course may be helpful to someone who wants to be an Operations Research Analyst, as it introduces essential statistical concepts and methods.

See salaries and explore the career path for Operations Research Analyst

Reading list

We've selected 33 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Statistics.

R for Data Science

Save

Provides a practical introduction to R programming for data science, covering topics such as data manipulation, visualization, and statistical modeling.

R for Data Science: Import, Tidy, Transform,...

Paperback

(Deutsch) R für Data Science: Daten importieren, bereinigen,...

Statistics

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What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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