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  • Berkeley Global

Introduction to Statistics

STAT X10

27584459
Delivery Options Online
 

Learn basic concepts of probability and statistical inference, focusing on an intuitive approach to understanding concepts and methodologies. Get an introduction to statistical and critical thinking, including descriptive statistics, probability, sampling distributions, interval estimation, hypothesis testing and regression.

Interested in Data Science

We suggest taking this course and then continuing with Introduction to R: Data Exploration and Visualization (EL ENG X480.1) and Practical Statistics for Data Scientists Using R (COMPSCI X402.1).

 

Prerequisites: Two years of high school algebra. A recent course in college algebra is recommended.

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Sections

Section 056

Start Anytime

Type: Online, Start Anytime

Instructor:

  • Dieter Jurkat

Cost: $1,150.00

See section 056 Details

Type Online, Start Anytime

Dates
Start Now, you have 180 days to complete this course once enrolled.

Delivery Options

Online

Available for Credit

4 semester units

Section Notes

Online, enroll anytime. This continuous enrollment course begins when you enroll. You have a minimum of 90 days and a maximum of 180 days to complete the course.

TEXTBOOK NOTE:  Please use the ISBN listed.  Do not purchase a hybrid text; it cannot be used for this course.

Students must score a 70% or higher on the final exam to pass the course.

Section Materials

  • (Mandatory)

    Understandable Statistics: Concepts and Methods by Charles Henry Brase and Corrine Pellillo Brase

    © 2015 Cengage 11th edition ISBN 128546091X Textbook ISBN: 9781285460918

Section 061

Start Anytime

Type: Online, Start Anytime

Instructor:

  • Melissa Tolley Nink

Cost: $1,150.00

See section 061 Details

Type Online, Start Anytime

Dates
Start Now, you have 180 days to complete this course once enrolled.

Delivery Options

Online

Available for Credit

4 semester units

Section Notes

Online, enroll anytime. This continuous enrollment course begins when you enroll. You have a minimum of 90 days and a maximum of 180 days to complete the course.

TEXTBOOK NOTE:  Please use the ISBN listed.  Do not purchase a hybrid text; it cannot be used for this course.

Students must score a 70% or higher on the final exam to pass the course.

Section Materials

  • (Mandatory)

    Understandable Statistics: Concepts and Methods by Charles Henry Brase and Corrine Pellillo Brase

    © 2015 Cengage 11th edition ISBN 128546091X Textbook ISBN: 9781285460918

Section 060

Jan 23 to May 08

Type: Live Online

Instructor:

  • Seema Saharan

Cost: $1,020.00

See section 060 Details

Section Schedule

Jan 23, 2023 to May 08, 2023

Type Live Online

Days

M

Time

6:00PM to 10:00PM Pacific Time

Dates

Jan 23, 2023 to Mar 20, 2023

Location

Live Online

Type Live Online

Days

M

Time

6:00PM to 10:00PM Pacific Time

Dates

Apr 03, 2023 to May 08, 2023

Location

Live Online

Schedule and Location

View Details

Instructional Hours

56.0

Location

Live Online

Delivery Options

Online

Available for Credit

4 semester units

Section Notes

Enroll early to ensure space in class.  Enrollments will not be accepted after the 2nd course meeting.

No class on March 27th.

 

Section Materials

  • (Mandatory)

    Statistics by David Freedman, Robert Pisani, Roger Purves

    © 2007 W. W. Norton 4th edition ISBN 0393929728 Textbook ISBN: 9780393929720

Spring enrollment opens on October 17!

This course applies to the following programs:

Clinical Laboratory Scientist Preparatory Program

Expand or collapse section

Core Courses (Choose 2)

  • Biochemistry
  • Biochemistry
  • Hematology
  • Immunology
  • Medical Microbiology
  • Quantitative Analysis: Applications in Clinical Chemistry

Electives

  • Blood Banking and Transfusion Medicine
  • Concepts of Physics
  • Endocrinology
  • General Human Anatomy
  • Genetics
  • Human Anatomy Laboratory
  • Human Physiology Laboratory
  • Introduction to Biostatistics
  • Introduction to Human Physiology
  • Introduction to Human Physiology
  • Introduction to Parasitology
  • Introduction to Statistics
  • Mammalian Systemic Physiology
  • Microbiology Laboratory
  • Pathophysiology
  • Physics I
  • Physics II
  • Principles of Infectious Diseases and Emerging Infectious Diseases
  • Principles of Molecular Biology
  • Principles of Toxicology
  • Virology
  • Virtual Hematology Laboratory
  • Molecular Cell Biology
  • Biochemistry
  • Hematology
  • Immunology
  • Biochemistry
  • Medical Microbiology
  • Quantitative Analysis: Applications in Clinical Chemistry

Course of Related Interest

  • Genetic Variant Interpretation Workshop

Learn More About this Program

Post-Baccalaureate Health Professions Program

Expand or collapse section

Required Courses

  • Health Careers Seminar I
  • Health Careers Seminar II: The Application Process
  • Health Careers Seminar II: Developing Your Personal Statement
  • Health Careers Seminar II: Interviewing Successfully

Basic Biology Electives

  • General Biology I
  • General Biology Laboratory I
  • General Biology II
  • General Biology Laboratory II
  • Introduction to Human Physiology

Upper-Division Biology Courses

  • Biochemistry
  • Human Physiology Laboratory
  • Mammalian Systemic Physiology
  • General Human Anatomy
  • Human Anatomy Laboratory
  • Medical Microbiology
  • Microbiology Laboratory
  • Introduction to Biostatistics
  • Biology of Aging
  • The Biology of Human Cancer
  • Cell Biology
  • Current Topics in the Biosciences
  • Developmental Biology
  • Endocrinology
  • Exercise Physiology
  • Genetics
  • Genomic Medicine
  • Hematology
  • Virtual Hematology Laboratory
  • Human Nutrition
  • Immunology
  • Neuroscience
  • Physiology of the Cardiac and Respiratory Systems
  • Principles of Molecular Biology
  • Molecular Cell Biology
  • Introduction to Parasitology
  • Pathophysiology
  • Pharmacology
  • Principles of Infectious Diseases and Emerging Infectious Diseases
  • Stem Cell Biology, Research and Discovery
  • Principles of Toxicology
  • Virology
  • CRISPR Genome Editing: From Biology to Technology
  • Medical Terminology

Chemistry Electives

  • Biochemistry
  • General Chemistry I
  • General Chemistry Laboratory I
  • General Chemistry II
  • General Chemistry Laboratory II
  • Organic Chemistry I
  • Organic Chemistry Laboratory I
  • Organic Chemistry II
  • Organic Chemistry Laboratory II
  • Quantitative Analysis: Applications in Clinical Chemistry

Physics Electives

  • Physics I
  • Physics Laboratory I
  • Physics II
  • Physics Laboratory II

Math Electives

  • Analytic Geometry and Calculus
  • Introduction to Biostatistics
  • Introduction to Statistics

Other Electives

  • Spanish for Medical Professionals
  • Principles of Epidemiology
  • Mandarin for Medical Professionals
  • Ethical and Legal Issues in Health Care
  • Introduction to Health Care Advocacy
  • Developmental Psychology Across the Lifespan
  • Abnormal Psychology
  • Epidemiology

Test Preparation Courses

  • Post-Bacc MCAT Prep
  • Post-Bacc GRE Prep
  • Post-Bacc DAT Prep
  • Post-Bacc OAT Prep
  • Post-Bacc PCAT Prep

Learn More About this Program

Notes

Departmental contact for academic questions: extension-mathstat@berkeley.edu | (510) 642-1062


Instructional Types

Live Online
Live Online courses provide an interactive learning experience with scheduled synchronous online sessions held via Zoom video conferencing (Pacific Time). Learn more about the Live Online format.
Online, Start Anytime
Continuous enrollment course begins when you enroll. You have a minimum of 90 days and a maximum of 180 days to complete the course.
Online, Fixed Date
Enroll in this course by its start date and complete it by its specified end date. There are no live sessions, but plenty of opportunities to collaborate with your classmates and instructor.
Classroom
Take classes in-person at one of our buildings or partner locations.

English Language Proficiency Requirements

All of our courses are taught in English. If English is not your first language, please use the following test scores as guides in order to be successful:

  • TOEFL: 90
  • IELTS Academic Format: 7
  • DAAD: C1
  • TEM-4 or TEM-8: Level 70
  • Duolingo: 115

Note: You do not need to submit test scores.

Extension

1995 University Ave., Suite 130

Berkeley, CA 94704-7000

extension@berkeley.edu

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The University of California, Berkeley, is accredited by the Western Association of Schools and Colleges (WASC). UC Berkeley Extension—like all other UC Berkeley schools, colleges and departments—is accredited by WASC through the University.

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Course Fee

Dieter Jurkat

Dieter Jurkat, M.S., Extension Honored Instructor, works in the actuarial and systems unit of Fireman's Fund Insurance Companies. He has taught statistics and mathematics, from algebra through calculus, at UC Berkeley Extension since 1986.

Online

Course Fee

Melissa Tolley Nink

Melissa Tolley Nink is a fairly new member of academia. She attended Agnes Scott College (c/o 2008) for a Bachelor's in Mathematics with a minor in Economics, and then went on to earn her Master's and Ph.D in Mathematics at North Carolina State University (c/o 2010 and 2013). From there she has been fortunate to work at Wingate University where she teaches the spectrum of mathematics classes, as well as a few business classes.

Melissa became interested in math at age five when her dad would teach her about trigonometry at the coffee table. From there, her love and understanding of the subject continued to grow. In undergrad she began tutoring and fell in love with helping others learn and understand the subject, especially those "a-ha!" moments. This was solidified in graduate school when she began teaching and found her true passion was being in front of a classroom sharing math with others.

Course Fee

Seema Saharan

Seema Singh Saharan, M.Phil Mathematics (Operations Research) is an instructor at CSUEB, UC Berkeley Statistics Department and UC Berkeley Extension. She has taught operations research, quantitative techniques, mathematics for management, computer programming, algebra, statistics, and biostatistics, as well as Statway courses by the Carnegie Foundation. Saharan has worked as a software engineer on commercial and scientific projects using programming languages such as Matlab, R, C and Java. Her thesis explored simulation and inventory control. In this data-driven world, she is keenly interested in data science, biostatistics and big data machine learning techniques.

STAT X10 - 060 - Introduction to Statistics

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