Master the science of extracting meaningful insights from data. This course covers data analysis, statistics, machine learning, data visualization, and real-world problem-solving using modern tools and techniques. Perfect for those aiming to build a career in data-driven fields. 🛠️ Tools Used in Data Science Python – Core programming for data manipulation and modeling R – Statistical computing and visualization SQL – Data querying and database management Jupyter Notebook – Interactive coding and data exploration Pandas & NumPy – Data manipulation libraries Matplotlib & Seaborn – Data visualization Scikit-learn – Machine learning models Tableau / Power BI – Business data visualization tools TensorFlow / PyTorch – Deep learning frameworks 🎯 Career Opportunities in Data Science Data Scientist Data Analyst Machine Learning Engineer AI Specialist Business Intelligence Analyst Data Engineer Research Scientist Quantitative Analyst Big Data Analyst
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