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Data Analytics and Machine Learning

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Data Analytics and Machine Learning

Data analytics and machine learning are foundational components of modern data-driven decision-making processes. This course offers a comprehensive exploration of both disciplines, equipping students with the knowledge and skills necessary to extract valuable insights from data and build predictive models. Through a combination of theoretical lectures, practical exercises, and hands-on projects, participants will learn how to leverage various data analytics techniques and machine learning algorithms to analyze data, make informed decisions, and solve complex problems across different domains

Course Objectives

  1. Understand the fundamental concepts and principles of data analytics and machine learning.
  2. Learn how to collect, preprocess, and explore data using descriptive analytics techniques.
  3. Gain proficiency in data visualization and interpretation to communicate insights effectively.
  4. Explore various machine learning algorithms for supervised, unsupervised, and reinforcement learning tasks.
  5. Understand the process of model training, evaluation, and deployment in machine learning pipelines.
  6. Develop practical skills in building predictive models and conducting feature engineering.
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STUDENTS

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DURATION

PRICE |$5000
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