Data Visualization with R

IBM Data Visualization with R is a program that focuses on creating and customizing data presentation graphics and charts using the R programming language. Participants learn key concepts related to data visualization, including how to summarize, format, and interpret data. By mastering these skills, individuals can effectively identify patterns and trends critical for informed business […]

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 […]

Celonis Data Engineer

Celonis Data Engineer is a role and certification related to managing data pipelines and models within the Celonis ecosystem. Let’s explore more about it: Role Description: A Celonis Data Engineer collaborates with stakeholders, gathers business requirements, and builds and maintains data pipelines and data models using Celonis Data Integration. Their primary focus is on creating […]

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 […]

Machine Learning with R (Level 1)

The IBM Machine Learning with R (Level 1) program provides foundational knowledge for working with R in the context of machine learning. Here are the key components covered in this program: Supervised vs. Unsupervised Learning: Participants learn about the distinction between supervised and unsupervised learning approaches. They understand how to apply these techniques using R. […]

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 […]

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 Analysis using Python

IBM – Data Analysis Using Python is a comprehensive course that equips learners with essential skills for analyzing data using the Python programming language. Here are the key components covered in this course: Data Analysis Fundamentals: Participants learn the foundational concepts required for effective data analysis. Topics include data cleaning, preparation, and summarization. Python Libraries […]

DataOps Methodology

The IBM DataOps Methodology is designed to enable organizations to utilize a repeatable process for building and deploying analytics and data pipelines. By following data governance and model management practices, they can deliver high-quality enterprise data to enable AI1. It focuses on the orchestration of people, process, and technology to deliver trusted, high-quality data to […]

IBM Cloud Native Security Conference – DevSecOps

\ The IBM Cloud Native Security Conference – DevSecOps focused on enhancing security practices within cloud-native applications, with a specific emphasis on DevSecOps. Here are the key details: Conference Overview: Theme: DevSecOps. Audience: Security professionals, developers, and anyone interested in securing cloud-native applications. Sessions: Attendees participated in sessions specifically dedicated to DevSecOps practices. Topics Covered: […]

IBM Cloud Native Security Conference – Data Security

The IBM Cloud Native Security Conference – Data Security wa a conference focused on enhancing security practices within cloud-native applications, with a specific focus on data security. Here are the key details: Conference Overview: Theme: Data Security. Audience: Security professionals, developers, and anyone interested in securing cloud-native applications. Sessions: Attendees participated in sessions specifically dedicated […]

Introduction to Data Economy

The Osaango Academy offers an insightful course titled “Introduction to Data Economy (Open University)”. In this course, you’ll gain a comprehensive understanding of the data economy and its profound impact on business models and society. Let’s dive into the details: Course Overview: Objective: The course equips you with tools to develop your own business ideas […]
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