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CompTIA DataX Study Guide
CompTIA DataX Study Guide
Coursera
MOOC / Non-credit
USD 49
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About this course
This specialization offers a structured, progressive learning journey from foundational concepts in data science to advanced machine learning techniques. It begins with Foundations of Data Science and Statistical Methods, introducing you to the essentials of data science, statistics, and data exploration. The second course, Data Processing, Machine Learning, and Model Evaluation, delves into the intricacies of data processing, modeling, and validation, building on the core concepts covered in course one. Finally, Advanced Machine Learning, Neural Networks, and NLP focuses on applying machine learning models to complex data, such as through neural networks and natural language processing. Through each course, you will engage with applied exercises to reinforce your skills, preparing you for real-world data challenges. From CompTIA DataX Study Guide Copyright © 2024 by John Wiley & Sons, Inc. All rights, including for text and data mining, AI training, and similar technologies, are reserved. Used by arrangement with John Wiley & Sons, Inc.
What you'll learn
understanding data science fundamentals
applying statistical methods
processing and modeling data
evaluating machine learning models
utilizing neural networks and natural language processing
Course objectives
to build a strong foundation in data science
to enhance skills in machine learning
to prepare for real-world data challenges
Skills you'll gain
machine learning
data processing
nlp
model evaluation
data science
statistics
data exploration
neural networks
data challenges
applied exercises
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