kingers Posted April 25 Report Share Posted April 25 Data Science For Beginners : Theory And Concepts Published 4/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 968.41 MB[/center] | Duration: 3h 34m Data science, AI, Machine Learning, Statistics What you'll learn Data science Artificial intelligence Machine Learning Statistics and data analysis Requirements No prior experience in data science is required Description Are you eager to dive into the world of data science and unleash the power of data-driven insights ? My Data Science Fundamentals course is designed to equip you with essential skills and techniques required to excel in this rapidly growing field. Whether you're a beginner looking to start a career in data science or a professional seeking to enhance your analytical abilities, this course is tailored to meet your learning needs.Course Overview:In this comprehensive course, you will:Explore Data Science Foundations: Understand the fundamental concepts of data science, including data manipulation, exploratory data analysis (EDA), and data visualization techniques.Learn Statistical Analysis: Acquire foundational knowledge in statistics, hypothesis testing, and probability theory to make data-driven decisions and draw meaningful insights from data.Learn Machine Learning : Discover the principles of supervised and unsupervised learning, regression, classification, clustering, and evaluation metrics to develop predictive models.Learn Machine Learning Algorithms: Discover the principles of supervised and unsupervised learning, regression, classification, clustering, and evaluation metrics to develop predictive models.Introduction to Deep Learning: Dive into the basics of neural networks, deep learning, computer vision and natural language processing.Who Should Enroll:This course is ideal for:Aspiring Data Scientists and AnalystsBusiness and IT professionals seeking to leverage data for decision-makingStudents and researchers interested in exploring the field of data scienceNo prior experience in data science is requiredBy the end of this course, you will be equipped with the skills and confidence to tackle data science challenges, make informed decisions based on data analysis, and embark on a rewarding career in the dynamic field of data science.Join me on this exciting data science journey and unlock the potential of data-driven innovation ! Overview Section 1: Introduction Lecture 1 Introduction Section 2: Foundations of Data science Lecture 2 What is data science ? Lecture 3 Role of a data scientist Lecture 4 History and evolution of data science Lecture 5 Data Preprocessing Lecture 6 Overview of data storage Lecture 7 Data Exploration and Visualization Lecture 8 Descriptive Statistics Lecture 9 Data Visualizations Techniques Section 3: Statistical Foundations Lecture 10 Importance of statistics Lecture 11 Statistical Features Part 1 Lecture 12 Statistical Features Part 2 Lecture 13 Correlation Lecture 14 Causation Lecture 15 Probability Distribution Lecture 16 Skewness Lecture 17 Dimensionality Reduction Lecture 18 Multicollinearity Lecture 19 Outliers Lecture 20 Bayesian Statistics Lecture 21 Central Theorem Limit Lecture 22 Sampling Lecture 23 Confidence interval & Significance Level Lecture 24 Features transformation Lecture 25 Probability Theory Lecture 26 Hypothesis Testing Lecture 27 Regression Analysis Lecture 28 Domain Knowledge Section 4: Advanced Machine Learning Lecture 29 Machine Learning concepts Lecture 30 Machine Learning algorithms Lecture 31 Supervised & Unsupervised Learning Lecture 32 Cross Validation Techniques Lecture 33 Metrics for Regression Lecture 34 Metrics for Classification Lecture 35 Deep Learning Lecture 36 Introduction to Neural Network Lecture 37 Artificial Intelligence & Robotics Section 5: Congratulations Lecture 38 Outro Beginners curious about data sciencehttps://voltupload.com/a5j2uhrr7yca/Data_Science_for_Beginners_Theory_and_Concepts.z01https://voltupload.com/tcyzyoegxjrr/Data_Science_for_Beginners_Theory_and_Concepts.ziphttps://rapidgator.net/file/9d173492f5a7ca23f74caa121129e115/Data_Science_for_Beginners_Theory_and_Concepts.z01https://rapidgator.net/file/632cf77c66ff9ca4fda92da895f2399f/Data_Science_for_Beginners_Theory_and_Concepts.zipFree search engine download: Data Science for Beginners Theory and Concepts Link to comment Share on other sites More sharing options...
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