Explore the captivating world of data science with this comprehensive course offered by IBM. Delve into the significance of data science in today's data-driven world and discover the various career paths it offers. Uncover the art of uncovering insights and trends in data, and learn about the applications of data science in various domains.
Throughout the course, you will journey through the modules, understanding the role of data scientists, the impact of big data on digital transformation, and the applications of machine learning and deep learning. Gain valuable insights from seasoned data science professionals and grasp the importance of mathematics and statistics in this thriving field.
Additionally, an optional module on data literacy provides a deeper understanding of data sources, data collection, and organization, and various data integration platforms. Join this course to embark on an enriching journey into the world of data science and gain the knowledge and skills needed to thrive in this in-demand profession.
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Embark on a comprehensive journey through this course, covering the fundamentals of data science, the impact of big data, applications of machine learning and deep learning, and insights into data literacy.
This module introduces the fundamentals of data science, providing insights into the role of data scientists and the skills required in this field. Participants will gain an understanding of big data and its impact on digital transformation, as well as the applications of machine learning and deep learning.
Explore the impact of big data on digital transformation, the foundations of big data, and the role of data science in driving digital transformation. Gain insights into Hadoop, data processing tools, artificial intelligence, and deep learning, and uncover the applications of machine learning in data science.
Delve into the applications of data science across various domains, understanding how it is saving lives and solving old problems with new data science solutions. Gain valuable insights into recruiting for data science, career paths, and the importance of mathematics and statistics in data science.
This optional module provides a deeper understanding of data literacy, covering data sources, relational database management systems, NoSQL, data marts, data lakes, ETL, and data pipelines. Gain insights into working with varied data sources and data integration platforms.
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