Initiate your learning journey by gaining a complete understanding of how data scientists think. Understand what approach they
take to solve real-world problems.
Get an overview of the current data science scenario. Gain insights required to pursue a career in data science.
Master popular data science tools: Jupyter Notebooks, RStudio IDE, and IBM Cloud. Become proficient in using the data science
methodology to build, test, and train data models.
Learn how to work with Python, the most preferred language. Acquire skills to develop data science models and AI applications.
Become proficient in various Python libraries like Pandas and NumPy. Develop a project in Python to test and demonstrate your
Practice SQL exercises on real-world data sets to thoroughly understand the role of SQL and databases. Create impactful visual
representations of data with Python data visualization libraries: Matplotlib, Seaborn, and Folium.
Understand machine learning and master the usage of machine learning terms: Regression, Classification, and Clustering.
Realize how machine learning will impact society.
IBM Capstone Project: Design and build a data model that endeavors to solve a real-world problem. Submit the ‘Data Science
Model’ project to IBM for evaluation. Upon success, you will earn an IBM Data Science Professional Certificate.
How It Works
This IBM Professional Certificate program comprises nine carefully crafted courses sequenced in the form of a well-defined
and tangible learning path. You can choose to enroll in the complete certification program or pick one course at a time. Each
course completion takes you a step closer to earn an IBM Professional Certificate. Some of the courses may also qualify for
other learning paths.
The learning path ends with the submission of a multi-faceted, ‘Capstone Project.’ Instill confidence in the prospective employer
by showcasing your data science skills.
Successful completion of the Capstone Project is mandatory to earn the IBM Professional Certificate.