Data Science Training Courses

Data science is best described as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help organizations with finding out the hidden insights or patterns from raw data, which can be of significant use in the formation of business decisions. ExitCertified has a variety of Data Science Training that ranges from the basics of Data Science with Python to the most advanced vendor tools used by Data Scientists.

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IBM

IBM - Learn to use Data Science Experience (I2000G-WBT)

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Advanced Machine Learning Models Using IBM SPSS Modeler (V18.2) (0A039G)

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

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Advanced Machine Learning Models Using IBM SPSS Modeler (V18.2) (0E039G-SPVC)

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Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2) (0E079G-SPVC)

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IBM Integrated Analytics System (IIAS) for Data Scientists (V1.0) (1W710G-WBT)

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Microsoft

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

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Microsoft - Implementing a Machine Learning solution with Azure Databricks (DP-3014)

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Microsoft - Train and Deploy a Machine Learning Model with Azure Machine Learning (DP-3007)

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Microsoft - Develop Natural Language Processing Solutions with Azure AI Services (AI-3003)

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

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NVIDIA

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

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

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NVIDIA - Deep Learning Models on Multiple GPUs (NV-DLMM-GPU)

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NVIDIA - Building Transformer-Based Natural Language Processing Applications (NV-BTBN-LPA)

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NVIDIA - Data Parallelism: How to Train Deep Learning Models on Multiple GPUs (NV-DP-GPU)

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74 results found for "Data Science"

Data Science and Data Engineering for Architects (WA3057)

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Practical Data Science and Machine Learning with Python (WA3419)

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

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

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Google Cloud Big Data and Machine Learning Fundamentals (GCP-BD-ML)

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

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AWS - Practical Data Science with Amazon SageMaker (AWS-PDSASM)

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Oracle Cloud Infrastructure Data Science Live Class (OCI-DS)

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Data Science Using Python Deep Dive (WA3364)

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Spark and Machine Learning at Scale (WA3290)

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Data Engineering with Databricks (DEWD)

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Deep Learning with Databricks (DEEPLEARNING)

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Databricks - Machine Learning in Production (MLPROD)

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Advanced Machine Learning Models Using IBM SPSS Modeler (V18.2) (0A039G)

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

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Advanced Machine Learning Models Using IBM SPSS Modeler (V18.2) (0E039G-SPVC)

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Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2) (0E079G-SPVC)

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IBM Integrated Analytics System (IIAS) for Data Scientists (V1.0) (1W710G-WBT)

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SAS(R) AI & Machine Learning Certification Program (AIBT13)

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SAS(R) AI & Machine Learning Certification Program (AI only) (AIBT23)

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