Data Science Courses and Certifications

NPTEL-NOC IITM

Why Julia is the Future for Data Science Projects

Explore Julia's advantages for data science, including speed, economic viability, and reduced carbon footprint compared to R and Python.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Keith Galli

Complete Python Pandas Data Science Tutorial - 2024 Updated Edition

Comprehensive tutorial on Python Pandas for data analysis, covering basics to advanced techniques. Learn to manipulate, filter, and aggregate data efficiently using the latest Pandas features and AI tools.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

Great Learning

Statistics for Data Science with Gen AI and ChatGPT - Full Course (2024)

Master essential statistical concepts and techniques for data science, including descriptive analysis, correlation, regression, and leveraging AI tools for advanced insights.

• YouTube
• 4 hours 29 minutes
• Self-Paced
• Free Video

AWS Events

Building a Life Science Data Strategy for Accelerating Insights

Discover how Johnson & Johnson leverages enterprise-wide data strategies and AI/ML tools to break down silos, accelerate research insights, and empower scientists and clinicians in life sciences.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Krish Naik

All You Need to Know About NVIDIA CUDA-X GPU Accelerated Data Science and AI - Run Code in GPUs

Discover how NVIDIA CUDA-X and RAPIDS accelerate data science and AI workflows with GPU-powered libraries, offering APIs compatible with popular open-source tools for enhanced performance.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Data Council

Writing Unit Tests for Data Science Code

Discover software engineering best practices for testing data science code, including mocking data and handling complex scenarios in machine learning projects.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Google Cloud Tech

AI Agents for Data Engineering and Data Science - Episode 11

Explore AI agents for data engineering and data science with demos of BigQuery agents, CodeMender security tool, and Gemini 2.5 Computer Use Model in this technical episode.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Krish Naik

Ultimate Data Science API Testing Tool

Discover Requestly, an open-source platform for API mocking, testing, and debugging that acts as a local proxy to intercept and modify HTTP(s) requests in real-time without backend changes.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Code With Aarohi

Python for Data Science

Master Python fundamentals essential for data science through hands-on tutorials covering lists, dictionaries, loops, functions, and modules in this step-by-step playlist.

• YouTube
• 1 hour 33 minutes
• Self-Paced
• Free Video

Java

Jump-Start Your Data Science Learning with Java and Jupyter Notebooks

Discover how to leverage Java in Jupyter Notebooks for data science, machine learning, and AI development with practical examples and cutting-edge techniques.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Oracle

Innovating with Big Data and Data Science on Oracle Cloud Infrastructure

Explore Oracle's cloud-native platform for data science and big data, featuring product updates, demos, and customer stories on leveraging AI and machine learning for digital transformation.

• YouTube
• 50 minutes
• Self-Paced
• Conference Talk

Krish Naik

Docker for Data Science Tutorial

Comprehensive Docker tutorial for data scientists, covering containers, images, installation, and Docker Compose. Learn to implement end-to-end data science projects using Docker.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

The Julia Programming Language

A Superfacility Model for Data-Intensive Science

Explore data-intensive science challenges, high-performance computing, and the role of programming languages like Julia in addressing big data and computational demands in scientific research.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Open Data Science

Data Science + Design Thinking - Perfect Blend to Achieve the Best User Experience - Michael Radwin

Blend data science with design thinking to create AI/ML products that prioritize customer needs, using empathy, experimentation, and rapid prototyping for optimal user experience.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Data Science Dojo

Writing Unit Tests for Data Science Code

Learn best practices for unit testing data science code, including handling data inputs, model training, and evaluation. Gain insights on bridging software engineering and data science for more robust ML applications.

• YouTube
• 45 minutes
• Self-Paced
• Free Video