The 2024 ISDSA Meeting will be held in Vienna, Austria from July 21-24, 2024.
certification:programs
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
|
certification:programs [2019/08/08 20:35] ISDSA [Advanced Data Scientist] |
certification:programs [2021/06/16 01:00] ISDSA |
||
|---|---|---|---|
| Line 4: | Line 4: | ||
| ===== Types of Certificates ===== | ===== Types of Certificates ===== | ||
| - | ISDSA offers three levels of certification: Beginner Data Scientist, Intermediate Data Scientist, and Advanced Data Scientist. | + | ISDSA offers one amateur certification -- Beginner Data Scientist, and three professional certifications -- Data Scientist, Advanced Data Scientist, and Fellow Data Scientist. |
| - | ==== Beginner Data Scientist ==== | + | ===== Beginner Data Scientist ===== |
| + | |||
| + | The Beginner Data Scientist certificate is issued to people who do not consider data science as a career but are interested in data science. A certificate can be issued to middle school and high school students or anyone who goes through basic data science training. Those with such a certificate will show basic knowledge of data science but are not expected to conduct critical data tasks. | ||
| + | ==== Data Scientist ==== | ||
| A Beginner Data Scientist should master the essential data science skills to carry out daily data-related operations. Such skills can often be obtained through an undergraduate applied statistics program. A Beginner Data Scientist understands the data ethics, can conduct basic data management, e.g., using SPSS, Excel, Access or MySQL, and data manipulation such as transformation, data cleaning, and subsetting and merging data sets, can conduct basic data visualization, present data analysis results and written data analysis reports. A Beginner Data Scientist can also accurately apply basic statistical methods such as t-test, ANOVA, and regression and can carry out related analysis through statistical software. Beginner Data Scientists account for 60% of the data science professions and can carry out the routine data tasks. | A Beginner Data Scientist should master the essential data science skills to carry out daily data-related operations. Such skills can often be obtained through an undergraduate applied statistics program. A Beginner Data Scientist understands the data ethics, can conduct basic data management, e.g., using SPSS, Excel, Access or MySQL, and data manipulation such as transformation, data cleaning, and subsetting and merging data sets, can conduct basic data visualization, present data analysis results and written data analysis reports. A Beginner Data Scientist can also accurately apply basic statistical methods such as t-test, ANOVA, and regression and can carry out related analysis through statistical software. Beginner Data Scientists account for 60% of the data science professions and can carry out the routine data tasks. | ||
| - | ==== Intermediate Data Scientist ==== | + | ==== Advanced Data Scientist ==== |
| - | In addition to mastering the skills of a Beginner Data Scientist, an Intermediate Data Scientist distinguishes himself/herself with the knowledge in big data analysis and predictive and machine learning methods. The skills of an Intermediate Data Scientist can often be obtained through a two-year data science master program. An Intermediate Data Scientist is expected to independently implement a data strategy to deal with business challenges in the industry. Only about 30% of the data tasks require the skills of an Intermediate Data Scientist. | + | In addition to mastering the skills of a Data Scientist, an Advanced Data Scientist distinguishes himself/herself with the knowledge in big data analysis and predictive and machine learning methods. The skills of an Advanced Data Scientist can often be obtained through a two-year data science master program. An Advanced Data Scientist is expected to independently implement a data strategy to deal with business challenges in the industry. Only about 30% of the data tasks require the skills of an Advanced Data Scientist. |
| - | ==== Advanced Data Scientist ==== | + | ==== Fellow Data Scientist ==== |
| - | The title of an Advanced Data Scientist is reserved for 5% of the data scientists. It often requires skills that can typically be obtained through a Ph.D. program in statistics, computer sciences, or related areas. An Advanced Data Scientist often holds a data science director position in the data science industry. | + | The title of a Fellow Data Scientist is reserved for 5% of the data scientists. It often requires skills that can typically be obtained through a Ph.D. program in statistics, computer sciences, or related areas. A Fellow Data Scientist often holds a data science director position in the data science industry. |
| **A comparison of different types of certificates** | **A comparison of different types of certificates** | ||
| - | | Skills | Beginner | Intermediate | Advanced | | + | | Skills | Data Scientist | Advanced | Fellow | |
| | Data ethics | **✓** | **✓** | **✓** | | | Data ethics | **✓** | **✓** | **✓** | | ||
| | Data management | **✓** | **✓** | **✓** | | | Data management | **✓** | **✓** | **✓** | | ||
| Line 49: | Line 52: | ||
| |Type|Cost| | |Type|Cost| | ||
| - | |Beginner Data Scientist|$599| | + | |Data Scientist|$599| |
| - | |Intermediate Data Scientist|$1,199| | + | |Advanced Data Scientist|$1,199| |
| - | |Advanced Data Scientist|$1,999| | + | |Fellow Data Scientist|$1,999| |
| Line 59: | Line 62: | ||
| |Type|Cost| | |Type|Cost| | ||
| - | |Beginner Data Scientist|$299| | + | |Data Scientist|$299| |
| - | |Intermediate Data Scientist|$599| | + | |Advanced Data Scientist|$599| |
| - | |Advanced Data Scientist|$999| | + | |Fellow Data Scientist|$999| |
| ==== Certified Training Programs ==== | ==== Certified Training Programs ==== | ||
| - | ISDSA also certifies training programs. A certified training program can issue a certificate to its trainee on behalf of ISDSA. To be certificated, a training program needs to submit its complete curriculum to ISDSA for evaluation. ISDSA evaluates a program based on the qualification of the instructors, design and implementation of courses, the performance of the trainees, and feedback of the trainees. A program needs to be evaluated every three years. Otherwise, it will lose its certified status. The cost of evaluating a program is listed below. If a program does not meet the standards to be certified, half of the cost will be refunded. | + | ISDSA also certifies training programs. A certified training program can issue a certificate to its trainees on behalf of ISDSA. To be certificated, a training program needs to submit its complete curriculum to ISDSA for evaluation. ISDSA evaluates a program based on the qualification of the instructors, design and implementation of courses, the performance of the trainees, and feedback of the trainees. A program needs to be evaluated every three years. Otherwise, it will lose its certified status. The cost of evaluating a program is listed below. If a program does not meet the standards to be certified, half of the cost will be refunded. |
| |Type|Cost| | |Type|Cost| | ||
| Line 81: | Line 84: | ||
| ===== Certificate ===== | ===== Certificate ===== | ||
| - | ISDSA maintains a [[index|database]] with all the certified data scientists. The database can be searched using a certificate number. For each certified data scientist, the following information is collected by ISDSA: | + | ISDSA maintains a [[https://isdsa.org/certificate/|database]] with all the certified data scientists. The database can be searched using a certificate number. For each certified data scientist, the following information is collected by ISDSA: |
| * First name and last name | * First name and last name | ||
| * Year of birth | * Year of birth | ||
| Line 89: | Line 92: | ||
| Anyone can search the database. For a matched record, the following information will be displayed to the party of interest: | Anyone can search the database. For a matched record, the following information will be displayed to the party of interest: | ||
| * First name and last name | * First name and last name | ||
| - | * Headshot | ||
| * Certificate number | * Certificate number | ||
| - | * Type of certificate (Beginner, Intermediate, or Advanced) | + | * Type of certificate (Beginner Data Scientist, Data Scientist, Advanced Data Scientist, or Fellow Data Scientist) |
| * Date of certification | * Date of certification | ||
| + | * An QR code | ||
| To get a certificate, please contact us at certificate@isdsa.org. | To get a certificate, please contact us at certificate@isdsa.org. | ||