Applied Data Science with Python (Level 2)

IBM Applied Data Science with Python (Level 2) is a course that focuses on enhancing your data science skills using the Python programming language. Here are the key takeaways from this course: Coding in Python for Data Science: You’ll gain proficiency in writing Python code specifically for data science tasks. This includes working with data […]

Data Science with Scala

The IBM Data Science with Scala program equips participants with the ability to apply Scala and Spark for statistics and machine learning tasks. Here are the key skills covered in this program: Scala and Spark: Participants learn how to use Scala and Apache Spark for data analysis and machine learning. They gain proficiency in preparing […]

Data Science Foundations (Level 2)

The IBM Data Science Foundations (Level 2) program builds upon foundational data science knowledge and takes it to the next level. Here are the key components covered in this program: Advanced Data Science Techniques: Participants delve deeper into data science methodologies, tools, and techniques. The program covers advanced statistical analysis, machine learning algorithms, and predictive […]

Data Science Methodologies

The IBM Data Science Methodologies program provides essential knowledge for effectively solving business and research problems using data science. It covers the essential steps in the data science process, including problem definition, data collection and analysis, model building, and understanding model deployment results12. Whether you’re a data scientist, business analyst, or researcher, understanding these methodologies […]

Impact of data science in the organisation

The “Impact of Data Science in the Organisation” short course offered by Torrens University Australia provides insights into the critical role of data science within organizations. Here are the key details: Course Overview: Title: Impact of Data Science in the Organisation Duration: Approximately 6 to 12 hours to complete Delivery Mode: 100% online Content: User […]
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