数据分析课程可以帮助您学习数据可视化、统计分析和数据清洗技术。您可以培养解读复杂数据集、做出数据驱动决策和有效交流见解的技能。许多课程都会介绍 Excel、SQL 和 Tableau 等工具,这些工具支持数据分析和结果展示。您还将探索 Regression Analysis 和 A/B Testing 等方法,这些方法对于评估性能和优化策略至关重要。

IBM
您将获得的技能: 统计分析, 数据可视化软件, Apache Hadoop, Apache Spark, 微软Excel, 关系数据库, 数据收集, 数据科学, 大数据, 数据仓库, 数据可视化, 数据清理, 数据湖, 数据分析, Apache Hive
初级 · 课程 · 1-3 个月

您将获得的技能: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Dashboard, Data Structures, Python Programming, Interviewing Skills, Professional Development
攻读学位
初级 · 专业证书 · 3-6 个月

Microsoft
您将获得的技能: SQL, 商业智能, 高级分析, 商业分析, 微软Excel, 数据质量, 数据库设计, 数据操作, Power BI, 数据存储, 数据收集, 数据整合, 数据存储技术, 微软动力平台, 数据可视化, 数据扫盲, 统计报告, 统计可视化, 数据分析, 时间表
攻读学位
初级 · 专业证书 · 3-6 个月

您将获得的技能: JSON, 脚本, NumPy, 数据处理, 网页抓取, 数据导入/导出, Python 程序设计, 还原式 API, 编程原则, 数据操作, 应用编程接口 (API), Pandas(Python 软件包), 计算机编程, 数据结构, 面向对象编程(OOP), 数据分析, Jupyter, 自动化
初级 · 课程 · 1-3 个月

您将获得的技能: 数据操作, 数据导入/导出, 信息隐私, 微软Excel, 谷歌工作表, 数据质量, 数据整理, 数据科学, 数据完整性, Excel 公式, 电子表格软件, 透视表和图表, 数据清理, 数据分析
初级 · 课程 · 1-3 个月

您将获得的技能: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
初级 · 课程 · 1-4 周

IBM
您将获得的技能: SQL, 探索性数据分析, 数据可视化软件, 微软Excel, 数据导入/导出, Python 程序设计, 生成式人工智能, 交互式数据可视化, 仪表板, IBM Cognos 分析, 数据叙事, 数据转换, 数据整理, 大数据, Plotly, 数据可视化, Excel 公式, 专业网络, 数据分析, 数据展示
攻读学位
初级 · 专业证书 · 3-6 个月

DeepLearning.AI
您将获得的技能: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, LinkedIn, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics
初级 · 专业证书 · 3-6 个月

Meta
您将获得的技能: 探索性数据分析, 生成式人工智能, 商业分析, Data Validation, 数据建模, 关键绩效指标 (KPI), 业务指标, 分析, 数据操作, 数据管理, Data Management, 数据叙事, 数据质量, 数据收集, 数据可视化, 营销, 数据分析, 数据清理
初级 · 课程 · 1-3 个月

您将获得的技能: 探索性数据分析, 数据可视化软件, 微软Excel, 网页抓取, 仪表板, 闪亮(R 套件), 数据库设计, 关系数据库, 交互式数据可视化, 数据叙事, 数据操作, Ggplot2, IBM Cognos 分析, 分析技能, 大数据, 数据可视化, 数据展示, Excel 公式, 数据整理, 数据分析
攻读学位
初级 · 专业证书 · 3-6 个月

Simplilearn
您将获得的技能: Exploratory Data Analysis, Generative AI, Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Data Visualization, Predictive Analytics, Data-Driven Decision-Making, Predictive Modeling, Forecasting, Data Transformation, Descriptive Analytics, Data Modeling, Risk Analysis
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts
初级 · 指导项目 · 不超过 2 小时
Data analytics is the process of examining data sets to draw conclusions about the information they contain. It involves using various tools and techniques to analyze data, identify patterns, and make informed decisions. In today's data-driven world, data analytics is crucial for businesses and organizations as it helps them understand customer behavior, optimize operations, and drive strategic initiatives. By leveraging data analytics, companies can enhance their competitiveness and make evidence-based decisions that lead to better outcomes.
A career in data analytics can open doors to various job opportunities. Common roles include data analyst, business intelligence analyst, data scientist, and data engineer. These positions often involve interpreting complex data sets, creating visualizations, and providing actionable insights to stakeholders. Additionally, industries such as finance, healthcare, marketing, and technology are increasingly seeking professionals skilled in data analytics, making it a versatile and in-demand field.
To succeed in data analytics, you need a combination of technical and analytical skills. Key skills include proficiency in data manipulation tools like Excel, SQL, and programming languages such as Python or R. Understanding statistical analysis, data visualization techniques, and machine learning concepts is also beneficial. Furthermore, strong problem-solving abilities and critical thinking are essential for interpreting data effectively and communicating findings to non-technical audiences.
There are numerous online courses available for those interested in data analytics. Some of the best options include the Google Data Analytics Professional Certificate and the IBM Data Analytics with Excel and R Professional Certificate. These programs provide comprehensive training and practical experience, making them ideal for anyone looking to build a solid foundation in data analytics.
Yes. You can start learning data analytics on Coursera for free in two ways:
If you want to keep learning, earn a certificate in data analytics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
To learn data analytics, start by identifying your learning goals and the specific skills you want to acquire. You can begin with introductory courses that cover the basics of data analysis and gradually progress to more advanced topics. Engage with hands-on projects to apply what you learn in real-world scenarios. Additionally, joining online communities or forums can provide support and resources as you navigate your learning journey.
Data analytics courses typically cover a range of topics, including data collection and cleaning, exploratory data analysis, statistical methods, data visualization, and predictive modeling. Many courses also introduce tools and software commonly used in the industry, such as Excel, SQL, and programming languages like Python or R. By exploring these topics, learners can develop a well-rounded understanding of data analytics and its applications.
For training and upskilling employees in data analytics, programs like the Google Advanced Data Analytics Professional Certificate and the DeepLearning.AI Data Analytics Professional Certificate are excellent choices. These courses are designed to equip professionals with the necessary skills to analyze data effectively and make data-driven decisions, enhancing their contributions to their organizations.