Data Science & Business Analytic Course
Data science is an interdisciplinary field that involves using statistical and computational techniques to extract insights and knowledge from data. It involves a combination of programming, mathematics, and domain expertise to gather, process, analyze, and interpret data. Data science is used in a wide range of fields, including business, healthcare, finance, and technology.
Business analytics, on the other hand, is the process of using data and statistical methods to make informed business decisions. Business analytics is focused on using data to understand and optimize business processes, such as customer acquisition, supply chain management, and financial forecasting. It involves the use of tools such as data visualization, predictive analytics, and machine learning to extract insights from data and make data-driven decisions.
Course Modules
- Introduction to Data Science
- Data Collection and Processing
- Exploratory Data Analysis
- Predictive Analytics
- Data Visualization
- Business Intelligence
- Optimization Techniques
- Time Series Analysis
- Big Data Analytics
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