通过 Coursera 探索数据科学世界，开启新的职业目标。无论您是刚刚入门还是深入研究数据，我们都能为您提供帮助。
Build in-demand data science skills
您将获得的技能: Data Storytelling, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Unsupervised Learning, Interactive Data Visualization, Supervised Learning, Data Analysis, Jupyter, Model Evaluation, Data Manipulation, Data Literacy, Generative AI, Professional Networking, Data Import/Export
您将获得的技能: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Statistics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
University of Pittsburgh
您将获得的技能: Apache Hadoop, Cloud Computing, Apache Spark, Web Services, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Cloud Applications, Cloud Platforms, Data Pipelines, Google Cloud Platform, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
In today's data-driven world, professionals skilled in data science are in high demand. 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 science to start your journey in this exciting and rewarding domain.
Interested in data visualization? Find out more about data visualization techniques and common data visualization jobs.
Interested in becoming a data scientist? Read about typical data scientist roles and responsibilities, and explore certifications for data scientists.
Interested in big data? Dive into what big data is and popular big data applications in the field.
Ready to start learning? Explore our catalog of data science, data visualization, and big data courses for beginners and experienced professionals.
![[Featured Image] Two learners study for their professional development course, learning about AI versus algorithms.](https://images.ctfassets.net/wp1lcwdav1p1/7GDHxCQjvPfaA2rzOcKIlw/fa238cce153831154ac22b3791fcaa33/GettyImages-2005015779.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] A group of businesspeople meets to discuss data-driven insights that inform their marketing research, one of the essential big data applications in 2024.](https://images.ctfassets.net/wp1lcwdav1p1/gxHHxRNhUlc32Q3DHHxoC/d657b4ba130695de123816898dd13b13/GettyImages-1437684175.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] A young businesswoman is coding on computer while building her skill set to become an nlp engineer.](https://images.ctfassets.net/wp1lcwdav1p1/4PIdq33yfNUmfQNeEvgLyB/42e0935265814f8209837ff4f080e81b/GettyImages-1437209125.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] Two coworkers review an analysis of variance (ANOVA) on a laptop while discussing their findings.](https://images.ctfassets.net/wp1lcwdav1p1/2GJOZDk0J5i5mhfanMsjAe/2bd9d37b903c67f00e2f4b4c41d75f9f/GettyImages-1629024916.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] A computer science learner researches AI versus deep learning on a laptop in a brightly lit coffee shop while planning their career path.](https://images.ctfassets.net/wp1lcwdav1p1/2V0Viv8OZeczFQstMyLP2c/dfbf3592bf85f4a01727f4e2c7b33fa9/GettyImages-557715963.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] An algorithm developer sits at a workspace, coding on a laptop.](https://images.ctfassets.net/wp1lcwdav1p1/4py0EXmNEGlCyD3hpUOhKU/5d87cb1c8637aa8dae3bfd1c930d2ae6/GettyImages-1357677117.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] A person unlocks their smartphone using facial recognition, one of many examples of computer vision applications.](https://images.ctfassets.net/wp1lcwdav1p1/3kI5ZO7aVJepDs3gxGRFVb/255769b642b0940ee5f8936260fabde0/GettyImages-699085155.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] Two work colleagues use a laptop to analyze work related bayesian statistics](https://images.ctfassets.net/wp1lcwdav1p1/7gqDo9unAsNyPQaMdz0Gvx/a1013fff0d4711f6f861aad85a0aa431/GettyImages-1181223319.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] Two colleagues sit in a conference room and discuss which IDE for R programming is best.](https://images.ctfassets.net/wp1lcwdav1p1/5ov5iXPC9KIb1eLrg4NokH/5ecf4017f763445dc9b39903d61cb9ff/GettyImages-522912060.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] A data science professional sits at a desk with a computer and tablet, using the random forest algorithm to aggregate data.](https://images.ctfassets.net/wp1lcwdav1p1/65zZLbAtImTDcMVeuB205I/e9f1bd9d9c2e7712332df494dc045f54/GettyImages-1727927633.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] An older person wearing glasses while sitting at a desk in front of an open laptop smiles as they use a natural language processing application example: a voice-activated assistant.](https://images.ctfassets.net/wp1lcwdav1p1/Jy6UFyja7rOHZDhZG2zBZ/2262da2e9b5c1346c32e5b491bc1a4d0/GettyImages-1171931411.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
![[Featured Image] A group of economists meet and discuss data they derived using time series analysis.](https://images.ctfassets.net/wp1lcwdav1p1/7qiMgPtA1G5iUZUrWT4qew/1bc7c8fe79b871f597800a8e840dfbde/GettyImages-1174452698.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
