经过不懈的努力,我终于在数据分析的海洋中捞出了一张宝贵的Coursera证书!🎉在这段学习旅程中,我深入学习了以下课程: 📚 Data Analytics Essentials 📚 Data Analysis with Python 📚 Introduction to Data Analytics每一个知识点,每一次成长,都离不开努力的汗水和坚韧不拔的意志。💪0 0 发表评论 发表 作者...
并使用 IBM Cognos Analytics 构建仪表板。使用 Python 库（如 Matplotlib）可视化数据 ...
包括 SQL 查询语言、Select 语句、排序和过滤、数据库函数、访问多个表用Python玩转数据 Data Processing ...
Understanding the importance of Python as a data science tool is crucial for anyone aspiring to leverage data effectively. This course is designed to equip you with the essential skills and knowledge needed to thrive in the field of data science. This co
python data-science machine-learning tutorial jupyter-notebook coursera notebooks google-colab google-colab-notebook Updated Mar 10, 2022 Jupyter Notebook atinesh-s / Coursera-Machine-Learning-Stanford Star 1.1k Code Issues Pull requests Machine learning-Stanford University machine-learning course...
Data Science Fundamentals with Python and SQL Specialization [5 courses] (IBM) ['IBM'] https://www.coursera.org/specializations/data-science-fundamentals-python-sql Python和SQL数据科学基础专业化[5门课程] (IBM) 15 Key Technologies for Business Specialization [3 courses] (IBM) ...
非常适合Business & Econ 的同学补充编程和数据科学背景 3⃣️ Data Analysis with R programming by Google (评分:4.8/5) 适合人群:多个BA申研项目要求先修课程;强烈建议完成整个Google Data Analytics Professional Certificate 后再放置于简历,专业认可度高 4⃣️ Data Analysis with Python by IBM (评分:...
课程包括:Fundamentals of Visualization with Tableau、Essential Design Principles for Tableau、Visual Analytics with Tableau、Creating Dashboards and Storytelling with Tableau。 Python for Everybody Specialization 🐍 这个证书由密歇根大学提供,Python就不用多说了吧,现在几乎人人都会Python,我们也不能落后啊!课程...
https://www.coursera.org/specializations/data-analytics-in-the-public-sector-with-r 公共部门数据分析与R语言专业化【4门课程】(UMich) 602 Programming in Python: A Hands-on Introduction Specialization [4 courses] (Codio) ['Codio'] https://www.coursera.org/specializations/hands-on-python ...
Introduction to Data - Part 2 In this module, we will dive into the world of data analytics. We'll learn how to find the right data for data analysis, considering factors like relevance and timeliness. Then, we'll explore the crucial step of preprocessing, where we’ll learn to clean an...