Data Science Full Course 2026 | Tutorial & Training

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The Data Science Full Course 2026 begins with an introduction to artificial intelligence and data science, followed by a roadmap to becoming a data scientist. It explores key topics like deep learning, probability, and statistics, and explains the difference between Artificial Intelligence, Machine Learning, and Deep Learning. Learners will also gain insights into LLMs, benchmarking, and AI bias. Practical aspects include Machine Learning projects for beginners, Gen AI tools for job interviews, and ATS-friendly resume tips. The course concludes with OpenAI ChatGPT O1 model insights and data science interview questions to help learners prepare for industry roles.

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

00:00:00 Introduction to Data science Full Course
00:08:08 What is Artificial Intelligence?
00:12:29 What is Data Science
00:21:41 Roadmap to Data Science
00:28:40 Deep Learning
05:38:53 Data Science basics
06:25:12 Probablity and Statistics
09:43:35 Introduction to LLM
09:52:28 LLM Benchmarkeing
09:58:39 Difference between AI ML and DL
10:04:20 AI Bias Tutorial
10:19:44 Open AI ChatGPT O1 model
10:24:53 Gen AI tools for job interview
10:42:38 ML Projects for Beginners
11:49:35 Data Science Interview Questions
12:00:46 ATS Friendly resume

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➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

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