ISM Education
This Professional Diploma in Data Science provides practical training in data analysis, visualization, statistical modeling, and machine learning. Students gain hands-on experience with industry-standard tools and real-world datasets.
Our comprehensive curriculum is designed to provide you with both theoretical knowledge and practical skills.
NumPy, Pandas, and data manipulation techniques
15 CreditsDescriptive and inferential statistics, hypothesis testing
15 CreditsMatplotlib, Seaborn, Tableau, and dashboard design
10 CreditsSupervised and unsupervised learning algorithms
20 CreditsData querying, joins, and database operations
10 CreditsIntroduction to Spark, AWS, and scalable data processing
10 CreditsEnd-to-end data science project with real data
20 CreditsUpon successful completion of this program, you will be able to:
Analyze and process data using Python and R
Create compelling data visualizations and dashboards
Apply statistical methods to analyze business problems
Build and evaluate machine learning models
Communicate data insights to stakeholders
Work with big data tools and cloud platforms
To be eligible for this program, applicants must meet the following requirements:
Data Science Lead
Dr. Sharma has 10 years of experience in data science and analytics, working with Fortune 500 companies on ML and AI projects.
"This program gave me the practical skills I needed to transition into data science. The capstone project was instrumental in landing my current role."
Join thousands of students who have transformed their careers with BCET.