What Data Science & AI covered ?
The primary necessity of the Full Stack Data Science & AI course are as follows:
⦁ Introduction to Data Science & AI: Provide an overview of data science and AI concepts, methodologies, and applications.
⦁ Data Collection and Preprocessing: Gain skills in collecting data from various sources and preprocessing it for analysis.
⦁ Exploratory Data Analysis (EDA): Learn how to perform EDA to understand the structure and characteristics of datasets.
⦁ Statistical Analysis: Understand basic and advanced statistical techniques for analyzing data and deriving insights.
⦁ Machine Learning: Explore supervised, unsupervised, and reinforcement learning algorithms for predictive modeling and pattern recognition.
⦁ Deep Learning: Develop an understanding of neural networks, deep learning architectures, and techniques for training and evaluating deep learning models.
⦁ AI Applications: Learn about real-world applications of AI, including natural language processing (NLP), computer vision, and recommendation systems.
⦁ Model Deployment: Explore techniques for deploying machine learning and deep learning models into production environments.
⦁ Ethical and Legal Considerations: Understand ethical and legal issues surrounding data science and AI, including privacy, bias, and fairness.
⦁ Project Development: Work on hands-on projects and case studies to apply learned concepts and techniques in real-world scenarios.
Why This Course?
- Average Salary of a Data Scientist is $120,931 PA
- Demand for Data Scientist will zoom to 28% by 2020 across all industry verticals.
- Financial Institutions, Insurance Sectors, FMCG companies depend on Data Scientist to shape their Business Goals and Strategies.