This comprehensive course is designed to provide students with a solid foundation in Data Science and Artificial Intelligence (AI). Covering essential concepts such as data analysis, machine learning, neural networks, and natural language processing (NLP), students will gain hands-on experience with real-world tools and techniques used by industry professionals. By the end of the course, participants will be equipped to analyze data, build AI models, and apply AI-driven solutions across various industries.
Key Learning Outcomes:
- Understand the fundamentals of data science, statistics, and AI.
- Work with Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow.
- Perform data preprocessing, cleaning, and visualization.
- Build and evaluate machine learning models.
- Develop AI applications using neural networks and NLP.
- Gain exposure to AI use cases in healthcare, finance, and business.
- Prepare for careers in Data Science and AI.
Course Content
Module 1: Introduction to Data Science and AI
What is Data Science?
History and Evolution of AI
Applications of Data Science & AI
AI vs Machine Learning vs Deep Learning
Module 2: Python for Data Science
Python Basics
Working with Jupyter Notebook
NumPy and Pandas for Data Handling
Data Manipulation Techniques
Module 3: Data Visualization & Preprocessing
Exploratory Data Analysis (EDA)Matplotlib and Seaborn
Data & Feature Engineering
Handling Missing Data and Outliers
Module 4: Introduction to Machine Learning
Supervised vs Unsupervised LearningRegression and Classification Algorithms
Model Evaluation: Accuracy, Precision, Recall, F1-Score
Cross-Validation and Tuning
Module 5: Deep Learning and Neural Networks
Basics of Neural Networks
Introduction to TensorFlow/Keras
Building a Simple Neural Network
Activation Functions and Backpropagation
Module 6: Natural Language Processing (NLP)
Text Preprocessing: Tokenization, Lemmatization
Sentiment Analysis with Scikit-learn
Text Classification
Chatbots and Language Models
Module 7: AI Use Cases and Capstone Project
Case Studies: AI in Healthcare, Finance, and E-commerce
Ethics and Challenges in AI
Capstone Project: Build a Data Science/AI Solution
Career Pathways
Data Scientist
AI/ML Engineer
Data Analyst
NLP Engineer
Business Intelligence AnalystAI Product Developer
International student Fees: USD395
Job Interview Preparation (Soft Skills Questions & Answers)
- Tough Open-Ended Job Interview Questions
- What to Wear for Best Job Interview Attire
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
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Flexible Class Options
Weekend Classes For Professionals SAT | SUN
Corporate Group Training Available
Online Classes – Live Virtual Class (L.V.C), Online Training
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