As the digital age evolves, data science has emerged as one of the most critical fields for businesses across all industries.New technological solutions offer more effective tools for organizations, making it essential for businesses to stay ahead of their peers and have the latest toolsets to assist their decision-making processes.
The Data Science & Business Analytics (DSBA) program combines technical expertise in data science with all practical business analytics applications to create well-rounded professionals who can bridge the gap between complex data analysis and strategic business decision-making.
This program integrates advanced data science methodologies with business analytics applications, enabling participants to process and analyze large datasets and translate these insights into actionable business strategies. Participants will learn to leverage various tools, scientific procedures, and algorithms while understanding their practical implementation across different business functions.
INTAKE
April
August
- Develop a strong foundation in a variety of instruments, procedures, methods, and programming to grasp the details of data science.
- Provide in-demand skills used by professional data scientists, including databases, data visualization, statistical analysis, predictive modeling, and machine learning algorithms.
- Prepare participants to derive insights from data sets, interpret and communicate findings, and make data-driven decisions that drive business outcomes.
- Obtain a comprehensive and top-level understanding of the fundamental concepts and methods of data science, which includes data management, data analysis, machine learning, and statistical learning.
- Gain practical knowledge of the core material and its application in various fields like business, government, and law.
- Learn how to design new studies using big data and data science tools, and develop a thorough understanding of the key issues involved in designing new data science studies.
Module I: Introduction to DataScienceand Business Analytics.
Module II: Big Data Management and Business Analytics.
Module III: Ethical data practices and data responsibility.
DURATION
- 5 days
3 days In-person
2 days Online
- Product Managers, Project Managers, Marketing Managers, and others in managerial positions seeking deeper actionable insights for decision-making.
- Director, CEO, CTO, CIO, Vice President, Founder, and General Managers interested in improving their organization’s use of data science.
- Executives seeking an introduction and practical experience in Data Science.
Upon completing the program, you will earn a certificate as a:
Certificate in Data Science and Business Analytics
- On Campus (In-Person)
- Live-Online
TUITION FEE
GHC 7,000
PAYMENT TERMS
50% before the program starts
40% during program sessions
10% before the program ends
