IBM 数据科学 專業證書
Kickstart your career in data science & ML. 培养数据科学技能、学习 Python 和 SQL、分析和可视化数据、创建机器学习模型。无需学位或相关经验。
This Professional Certificate has a strong emphasis on applied learning. Except for the first course, all other courses include a series of hands-on labs in the IBM Cloud that will give you practical skills with applicability to real jobs, including:
Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.
Projects: random album generator, predict housing prices, best classifier model, Predicting successful rocket landing, dashboa rd and interactive map
無論您是想開始新的職業生涯，還是改變目前職業，Coursera 專業證書都能幫您為開始工作做好準備。選擇最適合的時間和地點，自行安排學習進度。立即註冊，探索新的職業道路，可免費試用 7 天。您可以隨時暫停學習或結束訂閱。
Svetlana LevitanSenior Developer Advocate with IBM Center for Open Data and AI Technologies
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
此课程是 100% 在线学习吗？是否需要现场参加课程？
How can I earn my IBM Badge?
What is data science?
What are some examples of careers in data science?
How long does it take to complete the Professional Certificate?
What background knowledge do I need for this program?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Professional Certificate?
What will I be able to do upon completing the Professional Certificate?
I already completed some of the other courses in this Professional Certificate. Will I get "credit" for them?
I have already completed the Introduction to Data Science Specialization. Can I still enroll in this Professional Certificate?
Which program should I enroll in - the Introduction to Data Science Specialization, or this Professional Certificate?
I have already completed the Applied Data Science Specialization. Can I still enroll in this Professional Certificate?
How can I access job opportunities with IBM and other organizations after completing this Professional Certificate?
How do you share your proof of completion with the educational institutions for transferring credit?
Where can I find more information on ACE credit recommendations?