Data Science Full Course 2026 | Data Science Tutorial | Data Science Training Course | Simplilearn

Wed, 11 Mar 2026 11:44:12 +0000

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This Data Science Full Course 2026 by Simplilearn provides a structured learning path for mastering data science concepts. It starts with an introduction to data science, followed by a roadmap to becoming a data scientist. Learners will explore deep learning, probability, and statistics, which form the foundation of data science. The course then introduces Large Language Models (LLMs), benchmarking techniques, and the key differences between AI, ML, and DL. It also covers AI bias, OpenAI ChatGPT, and Generative AI tools for job interviews. Practical aspects are included with beginner-friendly machine learning projects and an overview of Mistral AI. Finally, the course concludes with data science interview questions, ensuring learners are well-prepared for real-world applications and job opportunities.

Following are the topics covered in Data Science Full Course 2026:

00:00:00 - Introduction to Data Science Full Course
00:00:00 - Introduction to Data Science Full Course 2026
00:04:21 - What is Data Science
00:10:31 - Data science course unboxing
00:19:43 - Roadmap to Data Science
01:06:02 - Probability and Statistics
06:57:34 - Data Science basics
06:58:58 - Introduction to LLM
08:07:47 - RAG for Beginners
11:24:46 - Machine Learning Basics
- Data Science Interview Questions

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✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

Key Features
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✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Industry Expert, staff, and IBM experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Model Building and Finetuning
✅ Supervised and Unsupervised Learning
✅ Ensemble Learning
✅ Deep Learning
✅ Data Visualization
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Explainable AI
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition

Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Data Management using SQL
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization

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