EDF Certified Data Analysis Professional Exam

Kód kurzu: DATAANEXAM

This is only the EDF Certified Data Analysis Professional Exam. The course that will prepare you for this exam is Data Analysis Deep Dive.

In today’s fast-paced business world, companies must make informed decisions based on scientific data and study to stay ahead of the competition. Data analysis has become a critical component of commercial industries, allowing companies to transform raw data into meaningful insights that can guide strategic planning and decision-making processes.

The Effective Data Foundation has created a certification program certifying candidates’ knowledge in data analysis, literacy, and visualization. The program is designed to provide candidates with the necessary skills to analyze and interpret data to drive business decisions effectively.

The EDF Data analysis certification is part of the Effective Data Foundation portfolio. It certifies a candidate’s ability to work with Descriptive Statistics, understand Probability theory and Probability distributions, and perform fundamental Data Analysis.

6 500 Kč

7 865 Kč s DPH

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Termíny kurzu
Popis kurzu
Cílová skupina
Struktura kurzu
Certifikace
Navazující kurzy

Termíny kurzu

Počáteční datum: Na vyžádání

Forma: Zkouška

Délka kurzu: 1 hodina

Jazyk: en

Cena bez DPH: 6 500 Kč

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	Počáteční datum	Místo konání	Forma	Délka kurzu	Jazyk	Cena bez DPH
	Na vyžádání		Zkouška	1 hodina	en	6 500 Kč	Registrovat
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Popis kurzu

The following table is an overview of the topics examined in the certification exam.

#questions	Level(s) of Cognition			Category
#questions	1	2	3	Category
5	✓	✓		Understanding Data Understanding the formats of data Recalling the seven V’s of data Understanding the concept of structured, semi-structured, and unstructured data Recalling different data processing types
5	✓	✓		Understanding Data Analysis Understanding the need for data analysis Understanding how data analysis is used Understanding the data analysis process Recalling the types of variables Understanding the difference between numerical and categorical variables
25	✓	✓		Descriptive Statistics Understanding the concept of frequency Understanding the measures of central tendency Understanding the measures of dispersion Understanding data skewness and kurtosis Understanding Outliers and how to handle missing values Understanding how to use descriptive statistics in data analytics
10	✓	✓		Probability Theory Understanding the basic concepts of probability Understanding the most important axioms of probability Understanding conditional probability
5	✓	✓		Probability Distributions Understanding discrete probability distributions Understanding continuous probability distributions Understanding why data distribution is important for data analysis
10	✓	✓		Performing Data Analysis Understanding covariance and correlation Understanding univariate, bivariate, and multivariate analysis Understanding linear regression Understanding Simple linear regression Understanding Multiple linear regression

Cílová skupina

This data analysis certification is perfect for anyone who needs an introduction to Data Analysis such as Business Analysts, Management, Engineers, Developers.

Struktura kurzu

Attempts per voucher:	1
Number of questions:	60
Passing score:	65%
Time:	60 minutes
Open-book:	No
Language:	English
Invigilation:	None
Question type:	Multiple choice