Masterclass Certificate in Data Science for Learning
-- ViewingNowThe Masterclass Certificate in Data Science for Learning is a comprehensive course that equips learners with essential data science skills for career advancement. This program is crucial in today's data-driven world, where organizations increasingly rely on data-informed decisions.
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⢠Unit 1: Introduction to Data Science & Learning
⢠Unit 2: Data Preprocessing & Cleaning
⢠Unit 3: Exploratory Data Analysis (EDA)
⢠Unit 4: Statistical Analysis & Inference
⢠Unit 5: Data Visualization
⢠Unit 6: Machine Learning Fundamentals
⢠Unit 7: Supervised Learning Algorithms
⢠Unit 8: Unsupervised Learning Algorithms
⢠Unit 9: Deep Learning & Neural Networks
⢠Unit 10: Advanced Topics in Data Science for Learning
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Data Scientists are responsible for extracting insights from large volumes of data, using machine learning algorithms, statistical methods, and data visualization techniques. 2. **Data Analyst (25%)**
Data Analysts focus on collecting, cleaning, and interpreting data, turning raw information into actionable insights for businesses and organizations. 3. **Data Engineer (20%)**
Data Engineers design, build, and maintain data systems and infrastructure, ensuring the secure storage, processing, and availability of big data. 4. **Data Architect (15%)**
Data Architects create data management strategies and designs, optimizing data flow, storage, and access across an organization's systems and applications. 5. **Business Intelligence Developer (5%)**
Business Intelligence Developers develop and maintain BI solutions, integrating data from multiple sources and providing actionable insights to stakeholders. These roles showcase the diverse opportunities within the data science field. As technology advances, professionals in these areas will continue to play vital roles in driving business success and innovation.
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