Master the Fundamentals of Data Science - From Core Concepts to Career Paths in the Data Science Revolution
What you'll learn
- Application of Algorithms in Data Science: learners will be capable of applying algorithms in the field of data science.
- Machine Learning Fundamentals: Introduction to machine learning concepts & Deep learning
- Understand Python for Machine Learning: Students will gain proficiency in using Python and essential libraries (such as NumPy, Pandas, and Matplotlib etc)
- Exploratory Data Analysis (EDA): Gain skills in analyzing datasets to discover patterns, trends, and insights.
- Proficiency in Implementing Algorithms: Learners will gain proficiency in implementing algorithms in programming, specifically using Python.
- Explore Advanced Topics and Ethical Considerations: Participants will explore advanced machine learning topics
- Algorithm Design Techniques: Delve into different algorithm design paradigms such as divide and conquer, dynamic programming, and greedy methods.
- Understand the Machine Learning Pipeline & Its components
- Understand & Experience in Model Training, Deployment, & Operational Best Practices