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Goals

Understand the characteristics of big data and its challenges.

Learn about the different big data technologies and tools.

Master data mining and machine learning techniques.

Apply data analytics to solve business problems.

Develop strong problem-solving and critical thinking skills.

Machine Learning

Supervised learning (regression, classification) Unsupervised learning (clustering, dimensionality reduction) Deep learning (neural networks, convolutional neural1 networks).

Big Data Applications

Customer analytics Fraud detection Risk management Predictive analytics Real-time analytics.

Introduction to Big Data

What is big data? Characteristics of big data (volume, velocity, variety, veracity) Challenges of big data analysis.

Big Data Technologies

Hadoop and HDFS MapReduce Spark NoSQL databases (MongoDB, Cassandra) Data warehousing and data lakes.

Data Mining Techniques

Data cleaning and preprocessing Exploratory data analysis Classification algorithms (decision trees, random forests, support vector machines) Regression analysis Clustering algorithms (k-means, hierarchical clustering) Association rule mining.

Certificate

Upon full attendance of this training course, participants will receive an accredited certificate issued by Al Manhal Institute, which is licensed by the Abu Dhabi Center for Technical and Vocational Education and Training. This certificate is regionally recognized, providing holders with a competitive advantage both within their organizations and when seeking new career opportunities.

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