Junior Data Scientist
eJDS Certification
This certification helps demonstrate foundational knowledge for entry-level data science concepts.
The Exam
The Junior Data Scientist certification is designed to validate a candidate’s ability to apply advanced Python programming, data analysis techniques, statistical principles, and fundamental machine learning methodologies to solve practical problems.
About the Certification Exam
The eJDS emphasizes not only theoretical understanding but also hands-on skills in manipulating data, performing statistical reasoning, and implementing predictive models. By integrating programming expertise, data analysis proficiency, statistical reasoning, and machine learning foundations, this exam ensures candidates can work across the full data analysis and modeling lifecycle.
Domains + Objectives
The eJDS exam evaluates an individual's skills across multiple domains certifying their mastery and understanding.
eJDS
Exam Objectives
Advanced Python Programming (10%)
Data Analysis with pandas and NumPy in Python (30%)
Fundamentals of Statistical Analysis (30%)
Machine Learning (30%)
Advanced Python Programming (10%)
- Explain key concepts of the Python programming language
- Understand data operations using Python packages
Data Analysis with pandas and NumPy in Python (30%)
- Grasp the capabilities of NumPy for numerical and scientific computing
- Understand the functionalities provided by pandas for data analysis and manipulation
- Implement data interchange techniques between pandas and various data formats to facilitate data analysis workflows
- Utilize pandas to perform data cleaning operations efficiently to enhance data quality for analysis
Fundamentals of Statistical Analysis (30%)
- Explain the concept of probability and its foundational principles
- Utilize fundamental probability rules and theorems to analyze and solve probability problems
- Identify and describe different types of probability events such as independent, mutually exclusive, and conditional events
Machine Learning (30%)
- Explain the fundamental concepts and different types of learning methodologies in artificial intelligence
- Implement basic machine learning algorithms to solve predictive modeling problems
- Describe the principles and workings of different classification algorithms in machine learning
- Describe the construction, advantages, and limitations of decision tree models
Who It’s For?
This exam is best suited for candidates who already have experience with Python and seek to formalize their knowledge in data operations, statistical reasoning, and machine learning applications.
Get eJDS Certified
To take the eJDS exam, you’ll need both an INE subscription and an exam voucher.
The Process
Whether you are attempting the eJDS certification exam on your own or after having completed our approved learning path, you will need to follow these steps to get a certificate:
The eJDS certification is valid for three years from the date it is awarded. Stay current with your skills and maintain your credential through flexible renewal options designed to fit your schedule.
