In today’s digital era, data is considered the new oil. Organizations across every sector rely on data-driven insights to make informed decisions, enhance customer experiences, and predict future trends. The Data Science module is designed to help learners develop the analytical mindset and technical skills required to extract meaningful insights from complex datasets.
This module covers the most in-demand technologies in the data landscape—Machine Learning, Deep Learning, and Data Analytics—offering a solid foundation for anyone aspiring to enter this high-growth field.
Machine Learning
Learn the fundamentals of Machine Learning, including supervised and unsupervised learning, algorithms like decision trees, regression models, and clustering techniques. Build predictive models using tools such as Python, Scikit-learn, and TensorFlow.
Deep Learning
Dive into neural networks and deep learning techniques that power technologies like facial recognition, natural language processing, and autonomous systems. Gain hands-on experience with frameworks like Keras and TensorFlow to build complex models.
Data Analytics
Master the art of data exploration, visualization, and interpretation. Use tools like Excel, Power BI, Python (Pandas, Matplotlib), and SQL to identify trends, patterns, and actionable insights from real-world datasets.
Curriculum
- 4 Sections
- 9 Lessons
- 10 Weeks
- Data Science – From Data to Intelligence1
- Module 1: Machine Learning – Building Intelligent Systems3
- Module 2: Deep Learning – Mimicking the Human Brain2
- Module 3: Data Analytics – Telling Stories with Data3
Instructor
