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Applied Data Science course (in collaboration with Google) immerses students in the practical application of data analysis techniques, statistical modeling, machine learning algorithms, and data visualization tools to derive insights, make predictions, and solve real-world problems using large and complex datasets. Students explore data preprocessing, feature engineering, model selection, and evaluation methods through hands-on projects and case studies. With a focus on applying data science methodologies to diverse domains such as business analytics, healthcare, finance, and social sciences, the course equips participants with the skills and knowledge to extract valuable insights from data, drive informed decision-making, and create data-driven solutions that address contemporary challenges in various industries.
Offered by SmartBridge60 hrs theory · 30 hrs practicalEnglishSunder RApplied Data Science course (in collaboration with Google) immerses students in the practical application of data analysis techniques, statistical modeling, machine learning algorithms, and data visualization tools to derive insights, make predictions, and solve real-world problems using large and complex datasets. Students explore data preprocessing, feature engineering, model selection, and evaluation methods through hands-on projects and case studies. With a focus on applying data science methodologies to diverse domains such as business analytics, healthcare, finance, and social sciences, the course equips participants with the skills and knowledge to extract valuable insights from data, drive informed decision-making, and create data-driven solutions that address contemporary challenges in various industries.
Data Analyst, Data Scientist, Machine Learning Engineer, ML Developer, AI/ML Product Manager
Certification
