NITDA Data Science Associate
Completed by Adegboyega Samuel on September 27, 2025
Verified learner ·
Badge ID: L4EizfOxQ6yBIs3zsROs5Q
About this Badge
The badge earner has acquired technical expertise in data science, including understanding the field, its methodologies, and the use of tools such as Python, Jupyter Notebooks, and various data analysis libraries. Additionally, they have gained practical skills in utilizing data repositories, applying machine learning and deep learning concepts, and employing data science methodologies to solve real-world problems.
Learning objectives
- Develop effective communication and interpersonal skills in a professional setting, including establishing respect, trust, and resolving conflicts, to foster successful collaboration with colleagues and stakeholders.
- Gain foundational knowledge of data science, including understanding its principles, methodologies, and the role of data scientists in uncovering insights and predicting outcomes through data analysis.
- Acquire proficiency in utilizing various data science tools and technologies, such as Python, Jupyter Notebooks, and data analysis libraries, to manipulate and analyze data, build machine learning models, and share findings effectively.
- Apply a structured methodology, such as the CRISP-DM methodology, for practicing data science, including forming business/research problems, collecting and analyzing data, building and deploying models, and incorporating feedback to ensure relevance and effectiveness in problem-solving.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.