Data Science Full Course | Data Science Tutorial For Beginners | Data Science Training | Simplilearn

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This Data Science Full Course Video by Simplilearn helps you learn a brief introduction to data science. followed by that, we will continue by discussing the scope of AI in future, then we will learn the roadmap to become a data scientist, followed by that, we will learn the AI BIAS topic, proceeding ahead we will learn the differences between AI, ML, and DL (Artificial intelligence vs machine learning vs deep learning), next we will have a brief introduction to deep learning and applied data science with python. Then we will learn how to Run Lama Privately. Afterwards, we will procced with an Introduction to LLm and LLM benchmarking, we will proceed with LangChain. Lastly we will discuss Confusion matrix, Machine learning projects for beginners and at the end we will discuss important interview questions. The video covers the following topics.

00:00:00 Introduction to Data Science Full Course
00:04:21 Data Science in 5 minutes
00:13:27 Future of AI
00:14:59 How to become Data Scientist
00:29:52 AI Bias
00:36:03 Difference between AI ML and DL
00:45:39 Roadmap to Data Science
00:54:56 Fastest way to Learn Data Science
06:48:37 Deep Learning
10:05:37 Applied Data Science with Python
10:06:44 Run Lama Privately
10:15:28 Introduction to LLM
10:28:57 LLM Benchmarking
10:30:16 Lang Chain Explained
10:57:44 Confusion Matrix ML
11:15:29 ML Projects for Beginners
12:22:26 Interview Questions

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What is Data Science?
Data science is the field of study that works with massive amounts of data utilizing relevant tools and techniques to derive valuable data. Companies across various industries generate vast amounts of data, so its applications range all the way from education, healthcare, and entertainment to Finance and Marketing.

✅ 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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