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Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
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Ca. 21 Stunden zum Abschließen
Englisch
Untertitel: Englisch

Kompetenzen, die Sie erwerben

StatisticsStatistical AnalysisNormal DistributionPoisson Distribution

Karriereergebnisse der Lernenden

12%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

14%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
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.
Ca. 21 Stunden zum Abschließen
Englisch
Untertitel: Englisch

von

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Rice University

Lehrplan - Was Sie in diesem Kurs lernen werden

InhaltsbewertungThumbs Up96%(3,566 Bewertungen)Info
Woche
1

Woche 1

6 Stunden zum Abschließen

Basic Data Descriptors

6 Stunden zum Abschließen
8 Videos (Gesamt 38 min), 8 Lektüren, 7 Quiz
8 Videos
Descriptive Statistics6m
Descriptive Statistics Continued8m
Introduction to the Box Plot and Standard Deviation7m
The Standard Deviation "Rule of Thumb"3m
Testing the "Rule of Thumb"7m
Chebyshev's Theorem1m
Week 1 Recap1m
8 Lektüren
Course FAQs10m
Pre-Course Survey10m
Slides, Lesson 110m
Slides, Lesson 210m
Slides, Lesson 310m
Slides, Lesson 410m
Slides, Lesson 510m
Slides, Lesson 610m
7 praktische Übungen
Descriptive Statistics4m
Descriptive Statistics Continued30m
Introduction to the Box Plot and the Standard Deviation30m
The Standard Deviation “Rule of Thumb”30m
Testing the “Rule of Thumb”30m
Chebyshev’s Theorem30m
Basic Data Descriptors and Data Distributions1h
Woche
2

Woche 2

4 Stunden zum Abschließen

Descriptive Measures of Association, Probability, and Statistical Distributions

4 Stunden zum Abschließen
6 Videos (Gesamt 34 min), 5 Lektüren, 6 Quiz
6 Videos
Correlation8m
Causation4m
Probability and Random variables5m
Statistical Distributions7m
Week 2 Recap46
5 Lektüren
Slides, Lesson 110m
Slides, Lesson 210m
Slides, Lesson 310m
Slides, Lesson 410m
Slides, Lesson 510m
6 praktische Übungen
Covariance30m
Correlation4m
Causation30m
Probability30m
Statistical Distributions30m
Descriptive Measures of Association, Probability, and Data Distributions1h
Woche
3

Woche 3

5 Stunden zum Abschließen

The Normal Distribution

5 Stunden zum Abschließen
5 Videos (Gesamt 42 min), 5 Lektüren, 6 Quiz
5 Videos
The Normal Distribution7m
The NORM.DIST Function9m
The NORM.DIST Function Continued7m
The NORM.INV Function8m
5 Lektüren
Slides, Lesson 110m
Slides, Lesson 210m
Slides, Lesson 310m
Slides, Lesson 410m
Slides, Lesson 510m
6 praktische Übungen
PDF and PMF30m
The Normal Distribution30m
The NORM.DIST Function30m
The NORM.DIST Function Continued30m
The NORM.INV Function30m
The Normal Distribution1h
Woche
4

Woche 4

6 Stunden zum Abschließen

Working with Distributions (Normal, Binomial, Poisson), Population and Sample Data

6 Stunden zum Abschließen
7 Videos (Gesamt 46 min), 7 Lektüren, 7 Quiz
7 Videos
Population and Sample data6m
Central Limit Theorem8m
The Binomial Distribution9m
Business Application of the Binomial Distribution5m
Poisson Distribution5m
Weeks 3 and 4 Recap1m
7 Lektüren
Slides, Lesson 110m
Slides, Lesson 210m
Slides, Lesson 310m
Slides, Lesson 410m
Slides, Lesson 510m
Slides, Lesson 610m
End-of-Course Survey10m
7 praktische Übungen
Applying the Normal Distribution, Standard Distribution30m
Population and Sample data30m
Central Limit Theorem30m
The Binomial Distribution30m
Business Application of the Binomial Distribution30m
Poisson Distribution30m
Working with Distributions (Normal, Binomial, Poisson), Population and Sample Data1h

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Über den Spezialisierung Business Statistics and Analysis

The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem. To successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. To see an overview video for this Specialization, click here!...
Business Statistics and Analysis

Häufig gestellte Fragen

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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