Course Syllabus
Download SyllabusCore Python
- Introduction to Python, features, and applications
- Variables, data types, strings, and operators
- Decision-making and looping statements
- Functions (built-in, user-defined, lambda, recursion)
- Object-Oriented Programming (classes, objects, inheritance, polymorphism)
- Exception handling and file handling basics
Data Science Phase 1
- Data analysis with Pandas & NumPy
- Data cleaning, mapping, grouping, and handling duplicates
- Reading/writing data from CSV
- Basic data visualizations
- NumPy arrays, attributes, and functions
Data Science Phase 2
- Key data science terms and exploratory data analysis
- Machine learning introduction (classification, regression, prediction)
- Data visualization using Matplotlib and Seaborn (charts, plots, heatmaps, scatterplots)
EDA & Machine Learning with Scikit-Learn
- Types of ML algorithms (supervised, unsupervised, ensemble)
- Workflow: dataset preparation, feature scaling, model building, evaluation
- Popular ML algorithms: Linear/Logistic Regression, Naïve Bayes, KNN, K-Means, SVM, PCA, Decision Trees, Random Forest, XGBoost
Deep Learning & AI
- Neural networks (ANN, CNN, RNN) and activation functions
- Model training, evaluation, and optimization
- Hands-on projects with datasets like MNIST, CIFAR, IMDB Reviews, Boston Housing
- Natural Language Processing (NLP) using NLTK & SpaCy
- Computer Vision with OpenCV (image processing, face detection, augmentation)
Generative AI & LLMs
- Introduction to Generative AI concepts and applications
- Large Language Models (LLMs) – GPT, BERT, T5
- Prompt engineering basics and ethical AI practices
- Transformer architecture and attention mechanism
- Retrieval-Augmented Generation (RAG) with FAISS/Chroma
Hands-on with LLMs
- Working with OpenAI APIs, HuggingFace, and LangChain
- Building workflows, chatbots, and Q&A systems
- Streamlit integration for LLM apps (front-end + back-end)
- Deploying Streamlit apps locally and on the cloud
Data Science Course with Placement at SLA Institute helps you start a career in data science. This data science certification course teaches Python, machine learning, AI, and real projects. Ideal as a data science course for beginners, it prepares you for roles like Data Analyst or Data Scientist with 100% placement support.
