Free Download Data Science for Beginners - Theory and Concepts
Published 4/2024
Created by Ndiaga Fall
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 34m ) | Size: 1.76 GB
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 !
Who this course is for:
Beginners curious about data science
Homepage
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