Advanced Program in Data Science

Module 1 – Introduction to Data Science

• Overview of data science, its importance, and real-world applications
• Required skills and career paths in the data science field
• Introduction to tools and technologies used by data scientists

Module 2 – Mathematics for Data Science

• Linear algebra essentials: vectors, matrices, and transformations
• Statistics: descriptive, inferential, hypothesis testing
• Calculus: partial derivatives, gradients, and optimization

Module 3 – Programming Fundamentals in Python

• Python basics: data types, control structures, functions
• Object-oriented programming (OOPs), threading, file handling
• Data scraping and handling data in Python

Module 4 – Data Handling and SQL

• Working with libraries: NumPy and Pandas
• SQL: MySQL queries (DML, DDL, TCL, DQL), NoSQL concepts
• Connecting Python with databases for real-time projects

Module 5 – Data Visualization Techniques

• Introduction to data visualization and its impact
• Using Matplotlib and Seaborn to create charts and plots
• Visual analytics and storytelling with data

Module 6 – Data Preprocessing & EDA

• Cleaning and transforming datasets
• Handling missing data and outliers
• Exploratory Data Analysis (EDA) for insights

Module 7 – Machine Learning Essentials

• Supervised learning: regression, classification, decision trees
• Unsupervised learning: clustering, PCA, t-SNE
• Evaluation metrics and model improvement strategies

Module 8 – Deep Learning & Neural Networks

• Basics of neural networks, forward & backpropagation
• Using TensorFlow and Keras for model development
• CNNs, RNNs, GANs, and transfer learning concepts

Module 9 – Natural Language Processing (NLP)

• NLP basics, tokenization, stemming, lemmatization
• Sentiment analysis and named entity recognition (NER)
• Text classification and preprocessing techniques

Module 10 – Generative AI and Prompt Engineering

• Introduction to Generative AI: GPT, DALL·E, Midjourney, Sora
• Capabilities and API usage for building applications
• Prompt engineering, RAG, and fine-tuning techniques

Module 11 – Big Data & Scalability

• Understanding big data frameworks: Hadoop, Spark
• Distributed computing concepts for scalability
• Processing and analyzing large datasets

Module 12 – Model Deployment & Production

• Model deployment strategies and MLOps basics
• Containerization using Docker, cloud deployment on AWS/GCP
• Monitoring and updating live models

Module 13 – Ethical & Legal Considerations

• Ensuring fairness and eliminating bias in ML
• Privacy, data protection, and global regulations (GDPR, HIPAA)

Module 14 – Capstone Project

• Solve a real-world industry problem from scratch
• Complete data pipeline from collection to deployment
• Final presentation, documentation, and review

Key Features

• Structured course from foundation to advanced topics
• Real-world case studies and industry-level projects
• Access to cloud labs and toolkits
• Expert instructors and peer interaction

What You’ll Gain

• Expertise in Python, SQL, ML, AI, and Data Engineering
• Industry-ready portfolio with capstone project
• Certification recognized by top tech companies
• Confidence to solve real-world data problems

Program Highlights

• Gain proficiency in data analysis, machine learning, deep learning, NLP, and more through hands-on sessions and guided mentorship.
• Curriculum designed in collaboration with industry leaders ensures that you gain relevant and in-demand skills that companies look for.
• You’ll work on multiple projects including forecasting, image classification, NLP, and recommender systems to solidify your learning.
• Master industry-standard tools like Python, TensorFlow, SQL, Matplotlib, Spark, and more. These are the tools used by top data science teams.
• Apply everything you’ve learned in a final project where you’ll work on a real-world dataset, deploy your model, and present your findings.
• From resume building to mock interviews, our dedicated mentors guide you throughout your journey to a successful data science career.
• Choose from weekend, weekday, or self-paced batches. Perfect for working professionals or students balancing other commitments.
• Join a growing community of professionals certified by TechMind across the globe and elevate your credibility in the job market.