Introduction to Data Science
At a Glance
Introduction to Data Science" is a foundational program designed to provide participants with a comprehensive understanding of the principles, techniques, and applications of data science. Participants will explore key concepts, tools, and methodologies used in data science, preparing them for further exploration in this rapidly evolving field.
Objectives
By the end of the course, participants will be equipped to:
- Understand the role of data science in extracting insights and value from data
- Gain familiarity with essential data science concepts, techniques, and methodologies
- Apply basic statistical analysis and machine learning techniques to solve data-driven problems
- Explore data visualization techniques to communicate insights effectively
- Develop a foundational understanding of programming languages such as Python/R
- Identify opportunities for leveraging data science to drive innovation and solve real-world problems
Prerequisite
No prior experience in data science is required. Basic knowledge of statistics and programming concepts is helpful but not necessary. Participants should have a curiosity and willingness to learn about data science and its applications.
Curriculum
- 8 Sections
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Introduction to Data Science
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Data Acquisition and Cleaning
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Exploratory Data Analysis (EDA)
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Introduction to Statistical Analysis
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Introduction to Machine Learning
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Data Visualization
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Introduction to Programming for Data Science
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Applications of Data Science
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