Goals

Understand the fundamentals of data science and its key methodologies.

Learn how to use high-performance computing to accelerate data analysis.

Gain hands-on experience with popular data science tools and frameworks.

Understand the importance of data preprocessing and feature engineering.

Develop skills in applying machine learning models to large datasets.

Learn how to optimize and scale data science workflows.

Data Preprocessing and Feature Engineering

o Techniques for cleaning and preparing raw data o Feature selection and dimensionality reduction o Dealing with missing or inconsistent data o Using automated tools for data preprocessing.

Introduction to Data Science and its Core Concepts

o Overview of data science methodologies o Understanding data types and structures o Key phases of data science (data collection, cleaning, analysis) o The role of data science in modern industries.

Accelerating Data Science with High-Performance Computing

o Using GPUs and distributed computing for faster analysis o Cloud-based platforms for scalable data science workflows o Parallel processing and multi-threading in data science o Optimizing computational resources for efficiency.

Machine Learning Models and Algorithms

o Overview of supervised and unsupervised learning o Popular machine learning algorithms (regression, classification, clustering) o Model evaluation techniques and metrics o Training models on large datasets.

Data Visualization and Interpretation

o Using data visualization tools (e.

g.

, Matplotlib, Seaborn) o Creating interactive visualizations for better insights o Visualizing complex datasets and model outcomes o Communicating data findings to non-technical stakeholders.

Optimizing and Scaling Data Science Workflows

o Best practices for optimizing algorithms and models o Distributed machine learning and parallelism o Leveraging cloud platforms for large-scale analysis o Automating and streamlining data science pipelines.

Certificate

Official Certificate

Accredited & Recognized Training Certificate

Upon successful completion of the program, participants receive an official certificate issued by Al Manhal Institute, confirming their attendance and acquired competencies, in accordance with approved professional and institutional standards.

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Fundamentals of Accelerated Data Science

Goals

Contents

Data Preprocessing and Feature Engineering

Introduction to Data Science and its Core Concepts

Accelerating Data Science with High-Performance Computing

Machine Learning Models and Algorithms

Data Visualization and Interpretation

Optimizing and Scaling Data Science Workflows

Certificate

Accredited & Recognized Training Certificate

Extra Options

Data Preprocessing and Feature Engineering

Introduction to Data Science and its Core Concepts

Accelerating Data Science with High-Performance Computing

Machine Learning Models and Algorithms

Data Visualization and Interpretation

Optimizing and Scaling Data Science Workflows