Data Science Fundamentals Course

(數據科學課程 - Data Science)

This course provides participants with a solid foundation in the field of data science, equipping them with the essential knowledge and skills needed to extract insights from data and make data-driven decisions. This course covers a wide range of topics, including data analysis, statistical modeling, machine learning, and data visualization.

1. Introduction to Data Science:
-Gain an overview of the data science field, understand its importance in various industries, and explore the data science workflow.

2. Data Exploration and Analysis:
-Learn techniques for data cleaning, preprocessing, and exploratory data analysis to uncover patterns, trends, and outliers in datasets.

3. Statistical Modeling and Inference:
-Explore statistical concepts and methods for drawing meaningful conclusions from data, including hypothesis testing, regression analysis, and ANOVA.

4. Machine Learning Basics:
-Discover the fundamentals of machine learning algorithms, including supervised and unsupervised learning, and learn how to apply them to solve real-world problems.

5. Data Visualization:
-Acquire skills in visualizing data effectively using tools and techniques such as matplotlib and Tableau, and learn how to communicate insights through compelling visualizations.

6. Practical Applications of Data Science:
-Explore various applications of data science in domains such as marketing, finance, healthcare, and social media analysis, and understand how data science is transforming industries.

By the end of this course, participants will have a solid understanding of data science principles and techniques, empowering them to extract valuable insights from data and contribute to data-driven decision-making in their organizations. Whether you are a beginner or a professional looking to enhance your data science skills, this course will provide you with the necessary foundation to excel in the field of data science.

Apply now to embark on your data science journey.