Professional Certification

Certification

IDSA Professional Certification in Data Sciences prepares students to expand their career prospects or change career paths by developing foundational data science skills. Candidates for the Professional Certification, a non-degree, part-time program, are required to complete a minimum of four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization.

Professional Certification

What you will learn

Apply various Data Science and Machine Learning skills, techniques, and tools to complete a project and publish a report.
Practice with various tools used by Data Scientists and become experienced in using some of them like Jupyter notebooks.
Master the key steps involved in tackling a data science problem and learn to follow a methodology to think and work like a Data Scientist.
Write SQL to query databases and explore relational database concepts.
Understand Python and practice Python programming using Jupyter.
Import and clean data sets, analyze data, build and evaluate data models and pipelines using Python.
Utilize several data visualization tools, techniques and libraries in Python to present data visually.
Understand and apply various supervised and unsupervised Machine Learning models and algorithms to address real world challenges using Python.

IDSA peer reviewed professional membership accreditation is recognised by leading international organisations. IDSA certification validates your skills, knowledge and experience and can help you take the next steps in your career. Categories of accreditation or official recognition are stated below: