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Certificate Programme in Data Science Fundamentals for Data Scientists
-- ViewingNowThe Certificate Programme in Data Science Fundamentals offers a comprehensive ten-unit curriculum designed to meet the surging industry demand for skilled data professionals. This course is vital for career advancement, bridging the gap between theoretical knowledge and practical application.
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์ด ๊ณผ์ ์ ๋ํด
100% ์จ๋ผ์ธ
์ด๋์๋ ํ์ต
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์๋ฃ๊น์ง 2๊ฐ์
์ฃผ 2-3์๊ฐ
์ธ์ ๋ ์์
๋๊ธฐ ๊ธฐ๊ฐ ์์
๊ณผ์ ์ธ๋ถ์ฌํญ
- Introduction to Data Science and its Applications
- Programming for Data Science using Python (NumPy, Pandas, Matplotlib)
- Data Wrangling and Preprocessing (Data Cleaning, Feature Engineering)
- Exploratory Data Analysis (EDA) and Data Visualization
- Statistical Methods for Data Science (Regression, Classification)
- Machine Learning Fundamentals (Supervised & Unsupervised Learning)
- Data Mining and Predictive Modeling
- Big Data Technologies and Cloud Computing (Spark, Hadoop)
- Communicating Data Insights and Storytelling
- Ethics in Data Science and Responsible AI
๊ฒฝ๋ ฅ ๊ฒฝ๋ก
Data Science Career Roles (UK) Description Data Scientist Develops and implements machine learning models, analyzes large datasets, and extracts valuable insights for business decisions.
High demand, excellent salary potential.
Data Analyst Collects, cleans, and analyzes data to identify trends and patterns.
Essential for data-driven decision-making in various industries.
Strong foundation in data science fundamentals needed.
Machine Learning Engineer Designs, builds, and deploys machine learning systems at scale.
Requires advanced programming skills and a deep understanding of algorithms.
High earning potential.
Business Intelligence Analyst Analyzes business data to improve decision-making, strategy, and operational efficiency.
Data science skills are becoming increasingly important in this role.
Data Engineer Builds and maintains the infrastructure for data storage, processing, and analysis.
Essential for supporting data science projects.
High demand for professionals with strong data engineering skills.
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