Hadoop Foundations (Level 1)

IBM’s Hadoop Foundations – Level 1 is a training program that provides a basic understanding of Hadoop. Here are the key points: Big Data and Hadoop: Understand what Big Data is and why there’s a need for Hadoop to process it efficiently. Explore the architecture of Hadoop. Working with Hadoop Distributed File System (HDFS): Learn […]

Spark (Level 1)

IBM’s Spark – Level 1 training program provides a foundational understanding of Apache Spark, a powerful open-source big data processing framework. Here are the key details: Course Overview: Objective: Gain insights into Spark, its benefits, and practical usage. Skills Covered: Spark Basics: Understand what Spark is and its significance. Resilient Distributed Datasets (RDD): Learn to […]

Machine Learning with Python (Level 1)

IBM’s Machine Learning with Python (Level 1) is a course that dives into the basics of machine learning using Python, an approachable and well-known programming language. Here are some key points covered in the course: Supervised vs. Unsupervised Learning: Understand the difference between these two main types of machine learning methods. Explore how each type […]

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 […]

Deep Learning Essentials

IBM’s Deep Learning Essentials course provides core knowledge on how the Deep Learning class of machine learning algorithms can be harnessed for more powerful and insightful data processing and pattern creation used in decision-making processes. This includes understanding how convolutional neural networks enhance the effectiveness of image recognition and classification1. If you’re interested in exciting […]

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 […]
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