Advanced Skill Certificate in DS Basics
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2个月完成
每周2-3小时
随时开始
无等待期
课程详情
- Data Wrangling with Pandas and Python
- Data Visualization with Matplotlib and Seaborn
- Exploratory Data Analysis (EDA) Techniques
- Machine Learning Fundamentals & Regression Models
- Classification Algorithms & Model Evaluation
- Data Mining and Feature Engineering
- Statistical Inference and Hypothesis Testing
- Introduction to Deep Learning with TensorFlow/Keras
职业道路
Career Role Description Data Scientist (Primary: Data Science, Secondary: Machine Learning) Develops and implements advanced analytical models using Python and R to solve complex business problems.
High demand, competitive salary.
Data Analyst (Primary: Data Analysis, Secondary: SQL) Collects, cleans, and analyzes large datasets to extract insights and inform business decisions.
Strong SQL skills essential.
Growing job market.
Machine Learning Engineer (Primary: Machine Learning, Secondary: Deep Learning) Designs, builds, and deploys machine learning models at scale.
Expertise in Deep Learning frameworks is highly valued.
Excellent earning potential.
Business Intelligence Analyst (Primary: Business Intelligence, Secondary: Data Visualization) Transforms raw data into actionable business intelligence using data visualization tools like Tableau and Power BI.
Solid understanding of business processes.
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是:
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后,您将获得结业证书。
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