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This Data Science Full Course by simplilearn offers a comprehensive guide, starting with an introduction to Data Science and a detailed Roadmap to Data Science, followed by foundational concepts like Probability and Statistics and the Basics of Data Science. It explores advanced topics such as the Differences Between AI, ML, and DL, and statistical methods like Descriptive vs. Inferential vs. Frequency vs. Kurtosis Statistics. The course also includes insights into modern tools and concepts like Introduction to LLM and discussions on critical issues such as AI Bias.
Following are the topics covered in the Data Science Full Course:
00:00:00 Introduction to Data science Full Course
00:04:21 What is Data Science
00:13:33 Roadmap to Data Science
00:59:52 Probablity and Statistics
01:06:03 Difference between AI ML and DL
06:16:16 Data Science basics
10:40:13 Insert LVC 3 hours
10:58:54 Descriptive Statistics v/s Inferential Statistics V/s Frequency Statistics V/s Kurtosis Statistics
11:00:18 Introduction to LLM
11:10:35 AI Bias
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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
✅ Program completion certificate from Purdue University Online and Simplilearn
✅ Access to Purdue’s alumni association membership on program completion
✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Purdue faculty, 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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