Statistics for Data Science

Wéi en Niveau gëtt mam Ofschloss vun der Formatioun ugestrieft?

Mëttelstuf

Wéi laang dauert d'Formatioun?

13,00 Woch(en)

A wéi enger/n Sprooch(en) gëtt d'Formatioun gehalen?

Wéini ass déi nächst Sessioun?

Wien organiséiert dës Formatioun?

L'European Business Institute (EBU) est une école de commerce à but non lucratif basée au Luxembourg, proposant des programmes flexibles et de haute qualité en ligne et sur campus, conçus pour les apprenants du monde entier. Engagée en faveur de l'innovation et de l'inclusion, l’EBU donne les moyens aux étudiants — en particulier à ceux issus de régions défavorisées — de réussir grâce à des webinaires interactifs en direct, des certificats vérifiés par blockchain et un corps professoral reconnu à l’international. L'EBU se spécialise dans des domaines de pointe tels que l’intelligence artificielle, la cybersécurité, la blockchain, la robotique et la science des données. En soutien à l’apprentissage tout au long de la vie,l’EBU offre une bourse exclusive de 86% à tous les étudiants avec le code EBULLL25 qui s'applique au moment d'enregistrement. Rejoignez un environnement d’apprentissage collaboratif et constructiviste via Zoom en direct, aux côtés d’étudiants venus de plus de 60 pays.

Méi gesinn

Den Inhalt vun dëser Säit ass net op Lëtzebuergesch verfügbar

U wie riicht sech d'Formatioun?

Open to all candidates

Wéi eng Virkenntnesser muss een hunn?

No prerequisites

Wéi eng Ziler gi verfollegt bzw. wéi eng Kompetenzen ugestrieft?

1. Understand the fundamentals of statistics

2. Work with different types of data

3. How to plot different types of data

4. Calculate the measures of central tendency, asymmetry, and variability

5. Calculate correlation and covariance

6. Distinguish and work with different types of distribution

7. Estimate confidence intervals

8. Perform hypothesis testing

9. Make data-driven decisions

10. Understand the mechanics of regression analysis

11. Carry out regression analysis

12. Use and understand dummy variables

13. Understand the concepts needed for data science even with Python and R

Wéi gesäit den Inhalt vun der Formatioun aus?

Lesson 1 - Introduction
Lesson 2 - Sample or Population Data?
Lesson 3 - The Fundamentals of Descriptive Statistics
Lesson 4 - Measures of Central Tendency, Asymmetry, and Variability
Lesson 5 - Practical Example: Descriptive Statistics
Lesson 6 - Distributions
Lesson 7 - Estimators and Estimates
Lesson 8 - Confidence Intervals: Advanced Topics
Lesson 9 - Practical Example: Inferential Statistics
Lesson 10 - Hypothesis Testing: Introduction
Lesson 11 - Hypothesis Testing: Let's Start Testing!
Lesson 12 - Practical Example: Hypothesis Testing
Lesson 13 - The Fundamentals of Regression Analysis
Lesson 14 - Subtleties of Regression Analysis
Lesson 15 - Assumptions for Linear Regression Analysis
Lesson 16 - Dealing with Category Data
Lesson 17 - Practical Example: Regression Analysis

Wéi eng Theeme gi behandelt?

Understand the fundamentals of statistics, work with different types of data and Learn how to plot different types of data
Calculate the measures of central tendency, asymmetry, and variability
Calculate correlation and covariance
Distinguish and work with different types of distribution
Estimate confidence intervals. Perform hypothesis testing. Make data-driven decisions
Understand the mechanics of regression analysis and carry out regression analysis
Use and understand dummy variables
Understand the concepts needed for data science even with Python and R

Wéi eng pedagogesch Methode gi benotzt?

The online delivery blends synchronous and asynchronous components. Students complete self-directed assignments hosted on the course platform. Weekly Forums support a required active, rubric-based student contributions that foster collaboration.

Wéi gesäit d'Evaluatioun aus?

Exams may include essays, short answers, or MCQs. Formats include open/closed book. Time zones are considered. Assessments are formative and summative. Students have 2 weeks to review grades and must follow the appeal process in the Student Handbook.

Wat kritt Dir um Enn vun der Formatioun?

Certificate issued on the Blockchain.

Wéi eng Supporte ginn zur Verfügung gestallt?

The EBU ensures administrative and Tech support in an inclusive, accessible learning environment for all students, including those with disabilities or special needs. This policy applies to all students, staff, and learning spaces, full-or part-time.

Wéi eng zousätzlech Informatioune si gutt ze wëssen?

To join the course, please follow these steps:

STEP 1: COMPLETE YOUR ONLINE PROFILE
Complete your online profile on the online campus. During this process, you will confirm your essential profile information to accept the offer.
Access the EBU scholarship online campus: https://connect.ebulux.lu/
Click the ‘Join EBU/Log In’ button on the homepage. You will need to create a new account.
During the Account creation process, you will be requested to indicate how you heard about the program and to select the partner organization on a drop-down list. If you found EBU by yourself, please simply write 'EBU' in these fields.
Please note as you create a new account, make sure to use a password you can easily remember.
After you create the account, open the link sent to your email for confirmation and then click continue.

STEP 2: COMPLETE THE COMMITMENT FEE PAYMENT
To enroll in the Autumn Term courses, go to the Certificate Enrolment page: https://connect.ebulux.lu/mod/page/view.php?id=48775
Select the course you would like to enroll in and click ‘Enroll Now’.
Select Payment Type and click proceed.
Enter card details to complete the commitment fee payment. Once you complete your application and commitment fee payment, you will be enrolled in your selected course and ready to commence.