Search result for Introduction to statistics online course Online Courses & Certifications
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Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! With the help of our industry-leading data scientists, we’ve designed this course to build ready-to-apply data science skills in just 15 hours of learning. An Introduction to Statistics...
Statistics for Data Science with Python
by Murtaza Haider , Aije Egwaikhide- 4.6
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Approx. 12 hours to complete
After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis. Practice Quiz - Introduction to Descriptive Statistics...
Blended Language Learning: Design and Practice for Teachers
by Edwige SimonTop Instructor- 4.8
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Approx. 21 hours to complete
This course is for language educators who wish to learn how to build and teach a blended language course. This assignment is not required to complete the course unless you wish to obtain Graduate Teacher Credits (GRTE). This course includes short quizzes, discussion questions, and an optional scaffolded peer-reviewed assignment. Introduction to the Course...
Introduction to Research for Essay Writing
by Tamy Chapman , Helen Nam- 4.7
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Approx. 20 hours to complete
Course 4: Introduction to Research for Essay Writing This is the last course in the Academic Writing specialization before the capstone project. By the end of this course, you will be able to complete all the steps in planning a research paper. Course Introduction Course Introduction Video Introduction to Research Introduction to Research Writing Introduction to Research Quiz...
Get Interactive: Practical Teaching with Technology
by Dr Eileen Kennedy , Dr Nancy Weitz , Ms Sarah Sherman- 4.7
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Approx. 15 hours to complete
This course is designed to help you create dynamic, interactive online courses through the use of multimedia tools, student collaboration opportunities, and formative assessment and feedback. We hope you will enjoy the active, hands-on nature of this course and find many ideas to incorporate in your teaching. Adding an image to a Moodle course...
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 7 hours to complete
In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. We've designed this course to be as convenient as possible without sacrificing any of the essentials. This is a focused course designed to rapidly get you up to speed on the field of data science....
Accounting Data Analytics with Python
by Ronald Guymon , Linden Lu- 4.1
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Approx. 32 hours to complete
The first half of the course picks up where Introduction to Accounting Data Analytics and Visualization left off: using in an integrated development environment to automate data analytic tasks. INTRODUCTION TO THE COURSE Course Introduction 3 Introduction to Descriptive Statistics MODULE 8: INTRODUCTION TO DATABASES IN PYTHON 1 Introduction to Data Persistence...
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Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
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Approx. 14 hours to complete
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. Introduction to Statistics with R Introduction to Data Project Week 1 Lab: Introduction to R and RStudio Exploratory Data Analysis and Introduction to Inference Introduction to Inference Exploratory Data Analysis and Introduction to Inference Project...
Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
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Approx. 15 hours to complete
We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. What Do We Mean by Fitting Models to Data? Python Statistics Landscape Bayesian Approaches to Statistics and Modeling Optional: A Visual Introduction to Machine Learning...
K-12 Blended & Online Learning
by Anissa Lokey-Vega, Ph.D. , Jim Cope, Ph.D.- 4.6
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Approx. 15 hours to complete
This course introduces teachers and interested adults to K12 blended and online learning. Participants will design a blended or online unit and develop one module to use with K12 students. Trends and Standards in K12 Blended & Online Learning iNACOL Blended & Online Teaching Pre-Assessment Results Active Learning & Assessment in K12 Blended & Online Learning...
