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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-with-machine-learning-and-data-analytics/
课程评论：没有评论
课程名称：数据科学与机器学习及数据分析 课程概述： 本课程旨在通过R编程、Python编程、WEKA工具包和SQL，向毕业生及软件专业人士传授数据科学的基本知识和技能。数据被称为新石油，这表明现代IT系统依赖于数据的捕获、存储和分析，以满足各种需求。这些需求包括商业决策、天气预测、生物蛋白质结构研究及市场营销活动设计等场景，均需要数学模型、统计学、图形、数据库以及数据分析背后的商业或科学逻辑的多学科方法。 本课程将涵盖数据科学中使用的各种技术，使用R编程、Python编程、WEKA工具包和SQL。在市场上，这是一个最全面的数据科学课程，涵盖了数据科学生命周期的完整概念，包括数据收集、数据提取、数据清理、数据探索、数据转化、特征工程、数据集成、数据挖掘、构建预测模型、数据可视化以及将解决方案部署到客户。 课程将深入探讨从统计分析、文本挖掘、回归建模、假设检验、预测分析、机器学习、深度学习、神经网络、自然语言处理、预测建模到R Studio、R编程、Python等程序语言的多种技能和工具，为学员提供一个全面的数据科学培训体验。
DATA SCIENCE with MACHINE LEARNING and DATA ANALYTICS using R Programming, PYTHON Programming, WEKA Tool Kit and SQL. This course is designed for any graduates as well as Software Professionals who are willing to learn data science in simple and easy steps using R programming, Python Programming, WEKA tool kit and SQL.Data is the new Oil. This statement shows how every modern IT system is driven by capturing, storing and analysing data for various needs. Be it about making decision for business, forecasting weather, studying protein structures in biology or designing a marketing campaign. All of these scenarios involve a multidisciplinary approach of using mathematical models, statistics, graphs, databases and of course the business or scientific logic behind the data analysis. So we need a programming language which can cater to all these diverse needs of data science. R and Python shines bright as one such language as it has numerous libraries and built in features which makes it easy to tackle the needs of Data science.In this course we will cover these the various techniques used in data science using the R programming, Python Programming, WEKA tool kit and SQL.The most comprehensive Data Science course in the market, covering the complete Data Science life cycle concepts from Data Collection, Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, building Prediction models, Data Visualization and deploying the solution to the customer. Skills and tools ranging from Statistical Analysis, Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Predictive Modelling, R Studio, programming languages like R programming, Python are covered extensively as part of this Data Science training.
