![[Feature Image] A sports statistician reviews sports analytics and data visualizations before making a presentation about team performance.](https://images.ctfassets.net/wp1lcwdav1p1/6pBKFuBhCwXbesogVQC4V9/1099425d49e94a8358b0699255777964/GettyImages-1418357382.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
What Is a Sports Statistician? And How to Become One
Learn about the growing field of sports analytics as you explore the career of a sports statistician helping players and sports organizations grow.
March 18, 2025
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Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Learn more about data analytics and career opportunities with these resources.
Discover courses in data analytics
您将获得的技能: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Science, Data Warehousing, Data Visualization, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel
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, Data Visualization Software, LinkedIn, Dashboard, Data Processing, Interviewing Skills, Professional Development
攻读学位
初级 · 专业证书 · 3-6 个月
您将获得的技能: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming
中级 · 课程 · 1-3 个月
In today's data-driven world, professionals skilled in data analytics are in high demand across many industries. A career in this fast-growing field provides opportunities to use technical skills to drive meaningful business impact. Explore the diverse career paths, essential skills, and job types within data analytics to start your journey in this exciting and rewarding domain.
Interested in data analytics? Find out more about what a data analyst does and popular data analytics certifications.
Interested in Python? Read about foundational Python concepts, and explore the differences between Python and R programming.
Interested in business intelligence? Dive into business intelligence analytics and popular business intelligence certifications in the field.
Ready to start learning? Explore our catalog of data analytics, Python, and business analytics courses for beginners and experienced professionals.
初学数据分析师应确保自己对结构化查询语言 (SQL)、Microsoft Excel 和 R 或 Python 有扎实的技术了解。 此外,他们还应该能够批判性地思考、自信地展示和直观地讲述他们的数据故事。 了解更多有关这些及其他关键数据分析师技能的信息。
培养数据分析师所需的技能所需的时间取决于您已经掌握的知识、学习新技能的策略以及您申请的职位。 但这可能比你想象的要花更少的时间。 根据 Coursera 的《2022 年全球技能报告》,通过大约 64 小时的学习,就可以掌握数据分析师初级职位所需的技能。 您有可能在不到六个月的时间内获得 Google Data Analytics 或 IBM Data Analyst Professional 证书。