Curriculum
- 9 Sections
- 8 Lessons
- 10 Weeks
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- Module 11
- Module 21
- Module 31
- Module 41
- Module 51
- Module 61
- Module 71
- Module 81
- Exams and Certification1
Requirements
- elcome to Introduction to Data Science. This course will give you an overview of the exciting and growing field of data science. You will explore the fundamentals of data science, learn how data science is used in various industries, and gain hands-on experience using Python programming language. Through lectures, case studies, and exercises, you will develop the skills necessary to understand data and create applications that can help answer important questions. At the end of this course, you will have a foundational understanding of data science and its impact on modern business operations.
Features
- Develop the students’ understanding of the basic concepts surrounding data science.
- Provide hands-on experience with important software tools such as Python and SQL for manipulating, analysing and visualizing data.
- Equip students with tools for communicating data science topics effectively to stakeholders.
- Facilitate development in particular topics such as machine learning, predictive analytics, and natural language processing for practical applications in data science projects.
- Foster an understanding of the ethical impl