Creating a Spark for Artificial Intelligence

IBM Creating a Spark for Artificial Intelligence is an introductory course that familiarizes participants with the basics of Artificial Intelligence (AI). Here are the key components covered in this course: Foundational AI Concepts: Participants learn and define five key terms related to AI: AI, neural network, big data, algorithm, and machine learning. Through analogy, interactive […]

AI and the Classroom – A Perfect Marriage

The IBM AI and the Classroom – A Perfect Marriage program is designed to equip K-12 educators with essential knowledge and skills related to Artificial Intelligence (AI). Here are the key points covered in this program: Introduction to AI: Educators learn about the foundational concepts of AI. Topics include neural networks, big data, algorithms, and […]

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 […]

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 […]

Hadoop Programming

IBM Hadoop Programming is a course that focuses on teaching programming concepts related to the Hadoop ecosystem. Hadoop is an open-source software framework designed for distributed processing of large data sets. Here are some key points about this course: Hadoop Ecosystem: The course covers various technologies within the Hadoop ecosystem, including but not limited to […]

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 […]

Data Visualization using Python

IBM’s Data Visualization Using Python course provides a comprehensive understanding of how Python libraries such as Matplotlib, Seaborn, and Folium are used for creating and customizing graphical representation outputs for both small and large-scale data sets12. In this course, you’ll learn to: Visualize Data with Matplotlib: Understand the basics of Matplotlib, a powerful plotting library. […]

Python for Data Science

IBM’s Python for Data Science course provides foundational knowledge for working with Python in the context of data science. Here are the key points: Python Basics: Learn essential Python concepts, including data structures and programming fundamentals. Understand how Python is used in data science. Hands-On Data Analysis: Gain practical experience by writing your own Python […]

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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