AWS Data Science Training Courses

Data science has transformed how businesses operate. By extracting insights from data, organizations can make better decisions, improve their products and services, and gain a competitive edge.

Ascendient Learning offers a variety of data science training courses that will help you develop the skills needed to succeed in this exciting field. Our courses cover a wide range of topics, from the basics of data science with Python to advanced tools used by data scientists, such as Machine Learning, Databricks, Azure, and RPA, and programming languages like R. We also offer courses in data engineering, which focuses on the design and implementation of data pipelines.

No matter your current skill level, Ascendient has a data science course to help you reach your goals. Our courses are taught by experienced data scientists who are passionate about sharing their knowledge.

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Data Science Fundamentals

Analytics - Data Literacy (DATA-100)

Managing Data Science Projects (DS-2301)

Data Science for Healthcare Overview (DATA-102)

Analytics - Data Science Overview (DATA-138)

Applied Linear Algebra, Calculus and Statistics for AI, ML and Data Science (WA3418)

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Data Science Programming

Effective Data Visualization & Storytelling using Python (DS-2203)

Applied Data Science Concepts with Python (DS-1201)

Essential NumPy and Pandas for Data Science (DS-1101)

Data Science Using Python Deep Dive (WA3364)

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Databricks - Introduction to Python for Data Science and Data Engineering (PYTHON-PB)

Text Analytics and Natural Language Processing (NLP) with R (RPROG-114)

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Advanced Data Science Programming & Predictive AI

Foundations of Predictive AI (DS-2204)

Advanced Natural Language Processing (DS-3201)

Advanced Time Series Analysis (DS-3204)

Advanced Computer Vision (DS-3202)

Advanced Anomaly Detection & Recommendation Systems (DS-3203)

Statistical Modeling for Data Analysis (DS-2202)

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Data Science with Python

Data Science Using Python Deep Dive (WA3364)

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Applied Data Science Concepts with Python (DS-1201)

Essential NumPy and Pandas for Data Science (DS-1101)

Effective Data Visualization & Storytelling using Python (DS-2203)

Data Engineering with Python (WA2905)

Databricks - Introduction to Python for Data Science and Data Engineering (PYTHON-PB)

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Data Engineering

Data Engineering - Apache Airflow Programming: Developing, Configuring, and Automating Workflows (AIRFLOW-DCA)

Data Engineering - Mastering Apache Airflow Administration: Scalable Workflow Automation and Orchestration (AIRFLOW-SWAO)

Data Engineering on Google Cloud (GCP-DE)

Data Engineering with Databricks (DEWD)

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Databricks - Introduction to Python for Data Science and Data Engineering (PYTHON-PB)

Advanced Data Engineering with Databricks (ADEWD)

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AWS Data Science

Developing Generative AI Applications on AWS (AWS-GENAI-APP)

Generative AI Essentials on AWS (AWS-GENAI-ESS)

AWS - Generative AI for Executives (AWS-GENAI-EXEC)

Machine Learning Engineering on AWS (AWS-MLENG)

MLOps Engineering on AWS (AWS-MLO-ENG)

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Databricks Data Science

Advanced Machine Learning with Databricks (AMLWD)

Machine Learning with Databricks (MLDB)

Databricks - Introduction to Python for Data Science and Data Engineering (PYTHON-PB)

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Google Cloud Data Science

Application Development with LLMs on Google Cloud (GCP-APPDEV-LLMS)

Google Cloud - Developing Data Models with LookML (GCP-DDM-LOOK)

Introduction to AI and Machine Learning on Google Cloud (GCP-INTRO-AI-ML)

Machine Learning on Google Cloud (GCP-ML)

Google Cloud - Preparing for Professional Machine Learning Engineer (GCP-MLE)

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IBM Data Science

Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2) (0A079G)

IBM watsonx.ai: Rapid Machine Learning Model Development and Deployment with AutoAI (W7L555G)

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Microsoft Data Science

Microsoft - Designing and implementing a data science solution on Azure (DP-100T01)

Microsoft - Build machine learning solutions using Azure Databricks (DP-3014)

Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric (DP-604T00)

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NVIDIA Data Science

NVIDIA - Applications of AI for Predictive Maintenance (NV-APP-AI-PM)

NVIDIA - Fundamentals of Accelerated Data Science (NV-ACC-DS)

NVIDIA - Applications of AI for Anomaly Detection (NV-APP-AI-AD)

NVIDIA - Model Parallelism: Building and Deploying Large Neural Networks (NV-MP-DEPLOY-NETW)

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NVIDIA - Fundamentals of Deep Learning (NV-FUND-DL)

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1 results found for "AWS"

Machine Learning & Artificial Intelligence (AI) Topic: Cloud | Code: AWS-PDSASM
AWS - Practical Data Science with Amazon SageMaker (Course)

AWS-PDSASM

You will learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science...
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