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Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
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Stufe „Mittel“

High school algebra, successful completion of Course 1 in this specialization or equivalent background

Ca. 18 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Koreanisch

Was Sie lernen werden

  • Determine assumptions needed to calculate confidence intervals for their respective population parameters.

  • Create confidence intervals in Python and interpret the results.

  • Review how inferential procedures are applied and interpreted step by step when analyzing real data.

  • Run hypothesis tests in Python and interpret the results.

Kompetenzen, die Sie erwerben

Confidence IntervalPython ProgrammingStatistical InferenceStatistical Hypothesis Testing

Karriereergebnisse der Lernenden

50%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

50%

erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Mittel“

High school algebra, successful completion of Course 1 in this specialization or equivalent background

Ca. 18 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Koreanisch

von

University of Michigan-Logo

University of Michigan

Lehrplan - Was Sie in diesem Kurs lernen werden

InhaltsbewertungThumbs Up91%(1,782 Bewertungen)Info
Woche
1

Woche 1

3 Stunden zum Abschließen

WEEK 1 - OVERVIEW & INFERENCE PROCEDURES

3 Stunden zum Abschließen
9 Videos (Gesamt 67 min), 5 Lektüren, 1 Quiz
9 Videos
Inferential Statistical Analysis with Python Guidelines4m
Introduction to Inference Methods: Oh the Things You Will See!3m
Bag A or Bag B?13m
Introduction to Bayesian4m
This or That? Language and Notation13m
The Python Statistics Landscape2m
Intermediate Python Concepts: Lists vs Numpy Arrays10m
Functions and Lambda Functions, Reading Help Files11m
5 Lektüren
Course Syllabus5m
Meet the Course Team!10m
About Our Datasets2m
Help Us Learn More About You!10m
This or That Reference10m
1 praktische Übung
Python Basics Assessment15m
Woche
2

Woche 2

5 Stunden zum Abschließen

WEEK 2 - CONFIDENCE INTERVALS

5 Stunden zum Abschließen
12 Videos (Gesamt 118 min), 3 Lektüren, 3 Quiz
12 Videos
Understanding Confidence Intervals10m
Demo: Seeing Theory5m
Assumptions for a Single Population Proportion Confidence Interval3m
Conservative Approach & Sample Size Consideration8m
Estimating a Difference in Population Proportions with Confidence6m
Interpretations & Assumptions for Two Population Proportion Intervals4m
Estimating a Population Mean with Confidence14m
Estimating a Mean Difference for Paired Data10m
Estimating a Difference in Population Means with Confidence (for Independent Groups)14m
Introduction to Confidence Intervals in Python12m
Confidence Intervals for Differences between Population Parameters21m
3 Lektüren
Confidence Intervals: Other Considerations15m
What Affects the Standard Error of an Estimate?10m
Additional Practice: Confidence Intervals1m
3 praktische Übungen
Practice Quiz: All About Confidence Intervals30m
Sample Size & Assumptions
Confidence Intervals Assessment1h
Woche
3

Woche 3

6 Stunden zum Abschließen

WEEK 3 - HYPOTHESIS TESTING

6 Stunden zum Abschließen
12 Videos (Gesamt 138 min), 4 Lektüren, 3 Quiz
12 Videos
Testing a One Population Proportion8m
Setting Up a Test of Difference in Population Proportions7m
Testing a Difference in Population Proportions8m
Interview: P-Values, P-Hacking and More24m
One Mean: Testing about a Population Mean with Confidence17m
Testing a Population Mean Difference13m
Testing for a Difference in Population Means (for Independent Groups)12m
Demo: Name That Scenario2m
Chocolate & Cycling Assignment2m
Introduction to Hypothesis Testing in Python20m
Walk-Through: Hypothesis Testing with NHANES13m
4 Lektüren
Hypothesis Testing: Other Considerations10m
The Relationship between Confidence Intervals & Hypothesis Testing5m
Chocolate & Cycling Assignment Instructions5m
Additional Practice: Hypothesis Testing1m
2 praktische Übungen
Name That Scenario15m
Hypothesis Testing in Python Assessment1h
Woche
4

Woche 4

4 Stunden zum Abschließen

WEEK 4 - LEARNER APPLICATION

4 Stunden zum Abschließen
6 Videos (Gesamt 77 min), 3 Lektüren, 1 Quiz
6 Videos
Descriptive Inference Examples for Single Variables Using Confidence Intervals12m
Descriptive Inference Examples for Single Variables Using Hypothesis Testing12m
Comparing Means for Two Independent Samples: An Example14m
Comparing Means for Two Paired Samples: An Example12m
Comparing Proportions for Two Independent Samples: An Example13m
3 Lektüren
Assumptions Consistency5m
Revisiting Examples: Accounting for Complex Samples10m
Course Feedback10m
1 praktische Übung
Assessment30m

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Über den Spezialisierung Statistics with Python

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them....
Statistics with Python

Häufig gestellte Fragen

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  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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