Use this quick start guide to collect all the information about EXIN DAF Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the EXIN Data Analytics Foundation (DAF) exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual EXIN Data Analytics Foundation certification exam.
The EXIN DAF certification is mainly targeted to those candidates who want to build their career in Technologies and Software domain. The EXIN Data Analytics Foundation exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of EXIN DAF.
EXIN DAF Exam Summary:
| Exam Name | EXIN Data Analytics Foundation |
| Exam Code | DAF |
| Exam Price | $262 (USD) |
| Duration | 60 mins |
| Number of Questions | 40 |
| Passing Score | 65% |
| Books / Training |
Read more about the e-CF Why get certified? How to get certified |
| Schedule Exam | EXIN |
| Sample Questions | EXIN DAF Sample Questions |
| Practice Exam | EXIN DAF Certification Practice Exam |
EXIN DAF Exam Syllabus Topics:
| Topic | Details | Weights |
|---|---|---|
Turning data into insights - 10% |
||
| Concepts and the process |
The candidate can… - explain concepts related to data analytics. - outline the steps in the process of data analysis. - describe risks in data analytics. |
7.5% |
| Business intelligence (BI) |
The candidate can… - illustrate how business intelligence (BI) leads to business decisions. |
2.5% |
Collecting, organizing, managing - 32.5% |
||
| Data collection |
The candidate can… - outline channels for collecting data. - explain ways to source public data. - outline how to reach compliance with contemporary data laws. |
10% |
| Storing data |
The candidate can… - distinguish between raw data, structured data, unstructured data, and big data. - differentiate between types of databases. - outline the utility of distributed file systems. - describe the advantages of using cloud solutions. |
12.5% |
| Variables |
The candidate can… - distinguish between dependent and independent variables. - explain the common types of variables. - distinguish between continuous and discrete variables. |
10% |
Cleaning - 7.5% |
||
| Data scrubbing |
The candidate can… - describe methods for data scrubbing. - outline techniques for data scrubbing. - indicate the considerations for data retention. |
7.5% |
Analyzing - 35% |
||
| Statistics |
The candidate can… - explain what distinguishes descriptive statistics from inferential statistics. |
5% |
| Data mining |
The candidate can… - explain data mining. |
2.5% |
| Machine learning |
The candidate can… - summarize ways of using machine learning. - describe natural language processing (NLP). - describe key methods and techniques of NLP. |
10% |
| Algorithms |
The candidate can… - describe how data and algorithms relate to each other. - clarify how regression analysis can be used to describe patterns in the data. - explain the use of classification models. - explain the use of cluster analysis. - explain what association analysis and sequence mining are and how they relate to each other. |
17.5% |
Visualizing - 15% |
||
| Explanatory and exploratory |
The candidate can… - describe explanatory and exploratory graphics. |
2.5% |
| Charts and plots |
The candidate can… - illustrate types of charts. - illustrate types of plots. - illustrate the usage of heatmaps. |
7.5% |
| Design and tools |
The candidate can… - summarize the purpose of aesthetic design in data visualization. - recall visualization tools. |
5% |
To ensure success in EXIN DAF certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for EXIN Data Analytics Foundation (DAF) exam.