|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-and-ml-data-cleaning-techniques/
课程评论：没有评论
coursera数据清洗技术在数据科学与机器学习课程概览： 课程强调数据清洗作为数据科学与机器学习领域的核心技能，其重要性不亚于模型训练。干净的数据是有效提取信息、训练机器学习模型的基础。通过过滤和修改数据，数据清洗帮助我们更好地探索、理解和建模。 课程指出，统计学家和研究人员通常会将90%的时间用于数据收集和清洗，以形成假设，而只有10%的时间用于数据分析。尽管如此，数据清洗的详细教学在许多数据科学和机器学习课程中却被忽视。随着大数据和机器学习的兴起，数据清洗的重要性日益凸显。 学习数据清洗的好处包括： * 改进决策 * 提高效率 * 增加生产力 * 消除数据集中的错误和不一致 * 识别缺失值 * 移除重复项 该课程之所以值得学习，是因为它提供了关于数据清洗的全面指导，包含超过5小时的视频内容，能帮助学习者从零开始掌握所有概念。课程内容涵盖： * 数据清洗基础 * 数据读取 * 数据集合并与拆分 * 各种可视化工具的应用 * 定位与处理缺失值/异常值 * 实际操作环节，通过数据集演练，确保学习的完整性。 鼓励大家报名本课程，深入学习数据清洗的概念和技术。
One of the most essential aspects of Data Science or Machine Learning is Data Cleaning. In order to get the most out of the data, your data must be clean as uncleaned data can make it harder for you to train ML models. In regard to ML & Data Science, data cleaning generally filters & modifies your data making it easier for you to explore, understand and model.A good statistician or a researcher must spend at least 90% of his/her time on collecting or cleaning data for developing a hypothesis and remaining 10% on the actual manipulation of the data for analyzing or deriving the results. Despite these facts, data cleaning is not commonly discussed or taught in detail in most of the data science or ML courses. With the rise of big data & ML, now data cleaning has also become equally important.Why should you learn Data Cleaning?Improve decision makingImprove the efficiencyIncrease productivityRemove the errors and inconsistencies from the datasetIdentifying missing valuesRemove duplicationWhy should you take this course?Data Cleaning is an essential part of Data Science & AI, and it has become an equally important skill for a programmer. It's true that you will find hundreds of online tutorials on Data Science and Artificial Intelligence but only a few of them cover data cleaning or just give the basic overview. This online guide for data cleaning includes numerous sections having over 5 hours of video which are enough to teach anyone about all its concepts from the very beginning. Enroll in this course now to learn all the concepts of Data Cleaning. This course teaches you everything including the basics of Data Cleaning, Data Reading, merging or splitting datasets, different visualization tools, locate or handling missing/absurd values and hands-on sessions where you'll be introduced to the dataset for ensuring complete learning of Data Cleaning.Enroll in this course now to learn about data cleaning concepts and techniques in detail!
