Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

About Course

Become a certified **Microsoft Azure Data Scientist Associate** with this comprehensive **free** Professional Certificate. This program, offered completely **free of cost**, will equip you with the skills to build and deploy machine learning solutions in the cloud. Learn how to manage Azure resources, train models, and operationalize machine learning solutions using Azure Machine Learning, Databricks, and other powerful tools.

This **free online course**, consisting of 5 courses, aligns perfectly with the **Microsoft Azure Data Scientist Associate (DP-100)** exam. This **free** program is designed for individuals with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and TensorFlow, who want to advance their skills.

Through hands-on exercises and projects using the Microsoft Learn Sandbox, you’ll gain practical experience working with real Azure resources and services. Learn how to:

Manage Azure resources for machine learning
Run experiments and train models
Deploy and operationalize machine learning solutions
Implement responsible machine learning
Utilize Azure Databricks for data exploration, preparation, and modeling
Integrate Databricks machine learning processes with Azure Machine Learning

This **free course** will equip you with the knowledge and skills to confidently take the DP-100 exam and become a certified Microsoft Azure Data Scientist Associate. Unlock a world of opportunities in the exciting field of cloud-based machine learning. **Enroll now and start your journey for free!**

**This course is offered for free through platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.**

Course Content

01. Create Machine Learning Models in Microsoft Azure
new topic

A Message from the Professor
0007 003_course-syllabus_instructions.html

00:00
0008 004_exam-dp-100-skills-measured_instructions.html

00:00
0009 005_how-to-be-successful-in-this-course_instructions.html

00:00
0012 001_lesson-introduction.mp4

00:00
0013 002_explore-data-with-numpy-and-pandas_instructions.html

00:00
0014 003_exercise-explore-data-with-numpy-and-pandas_instructions.html

00:00
0015 004_exercise-quiz_quiz.html

00:00
0016 005_visualize-data_instructions.html

00:00
0017 006_exercise-visualize-data-with-matplotlib_instructions.html

00:00
0018 007_exercise-quiz_quiz.html

00:00
0019 008_examine-real-world-data_instructions.html

00:00
0020 009_exercise-examine-real-world-data_instructions.html

00:00
0021 010_exercise-quiz_quiz.html

00:00
0022 011_knowledge-check_quiz.html

00:00
0025 012_lesson-summary.mp4

00:00
0028 001_lesson-introduction.mp4

00:00
0031 002_what-is-regression.mp4

00:00
0032 003_exercise-train-and-evaluate-a-regression-model_instructions.html

00:00
0033 004_exercise-quiz_quiz.html

00:00
0034 005_discover-new-regression-models_instructions.html

00:00
0035 006_exercise-experiment-with-more-powerful-regression-models_instructions.html

00:00
0036 007_exercise-quiz_quiz.html

00:00
0037 008_improve-models-with-hyperparameters_instructions.html

00:00
0038 009_exercise-optimize-and-save-models_instructions.html

00:00
0039 010_exercise-quiz_quiz.html

00:00
0040 011_knowledge-check_quiz.html

00:00
0041 012_test-prep_exam.html

00:00
0044 013_lesson-summary.mp4

00:00
0047 001_lesson-introduction.mp4

00:00
0050 002_what-is-classification.mp4

00:00
0051 003_exercise-train-and-evaluate-a-classification-model_instructions.html

00:00
0052 004_exercise-quiz_quiz.html

00:00
0055 005_evaluate-classification-models.mp4

00:00
0056 006_exercise-perform-classification-with-alternative-metrics_instructions.html

00:00
0057 007_exercise-quiz_quiz.html

00:00
0058 008_create-multiclass-classification-models_instructions.html

00:00
0059 009_exercise-train-and-evaluate-multiclass-classification-models_instructions.html

00:00
0060 010_exercise-quiz_quiz.html

00:00
0061 011_knowledge-check_quiz.html

00:00
0064 012_lesson-summary.mp4

00:00
0067 001_lesson-introduction.mp4

00:00
0070 002_what-is-clustering.mp4

00:00
0071 003_exercise-train-and-evaluate-a-clustering-model_instructions.html

00:00
0072 004_exercise-quiz_quiz.html

00:00
0073 005_evaluate-different-types-of-clustering_instructions.html

00:00
0074 006_exercise-train-and-evaluate-advanced-clustering-models_instructions.html

00:00
0075 007_exercise-quiz_quiz.html

00:00
0076 008_knowledge-check_quiz.html

00:00
0077 009_test-prep_exam.html

00:00
0080 010_lesson-summary.mp4

00:00
0083 001_lesson-introduction.mp4

00:00
0086 002_deep-neural-network-concepts.mp4

00:00
0087 003_exercise-train-a-deep-neural-network_instructions.html

00:00
0089 004_exercise-quiz_quiz.html

00:00
0090 005_knowledge-check_quiz.html

00:00
0093 006_lesson-summary.mp4

00:00
0096 001_lesson-introduction.mp4

00:00
0099 002_layers-in-a-convolutional-neural-network.mp4

00:00
0100 003_exercise-train-a-convolutional-neural-network_instructions.html

00:00
0101 004_exercise-quiz_quiz.html

00:00
0104 005_transfer-learning.mp4

00:00
0105 006_exercise-use-transfer-learning_instructions.html

00:00
0106 007_exercise-quiz_quiz.html

00:00
0107 008_knowledge-check_quiz.html

00:00
0108 009_test-prep_exam.html

00:00
0111 010_lesson-summary.mp4

00:00
0114 001_course-wrap-up.mp4

00:00
0115 002_what-to-expect-next_instructions.html

00:00
0003 001_introduction-to-the-course.mp4

00:00
Section Quiz

02. Microsoft Azure Machine Learning for Data Scientists
new topic

0008 001_azure-machine-learning-to-train-and-deploy-a-predictive-model.mp4

00:00
0009 002_exercise-part-1-create-a-microsoft-azure-machine-learning-workspace_instructions.html

00:00
0010 003_exercise-part-2-create-compute-resources_instructions.html

00:00
0011 004_exercise-part-3-explore-data_instructions.html

00:00
0012 005_exercise-part-4-train-a-machine-learning-model_instructions.html

00:00
0013 006_exercise-part-5-deploy-a-model-as-a-service_instructions.html

00:00
0014 007_exercise-part-6-clean-up_instructions.html

00:00
0015 008_exercise-quiz_quiz.html

00:00
0016 009_knowledge-check_quiz.html

00:00
0017 010_test-prep_exam.html

00:00
0020 011_weekly-summary.mp4

00:00
0023 001_what-is-regression.mp4

00:00
0024 002_exercise-part-1-create-a-microsoft-azure-machine-learning-workspace_instructions.html

00:00
0025 003_exercise-part-2-create-compute-resources_instructions.html

00:00
0026 004_exercise-part-3-explore-data_instructions.html

00:00
0027 005_exercise-part-4-create-and-run-a-training-pipeline_instructions.html

00:00
0028 006_exercise-part-5-evaluate-a-regression-model_instructions.html

00:00
0029 007_exercise-part-6-create-an-inference-pipeline_instructions.html

00:00
0030 008_exercise-part-7-deploy-a-predictive-service_instructions.html

00:00
0031 009_exercise-part-8-clean-up_instructions.html

00:00
0032 010_exercise-quiz_quiz.html

00:00
0033 011_knowledge-check_quiz.html

00:00
0034 012_test-prep_exam.html

00:00
0037 013_weekly-summary.mp4

00:00
0040 001_what-is-classification.mp4

00:00
0041 002_exercise-part-1-create-an-azure-machine-learning-workspace_instructions.html

00:00
0042 003_exercise-part-2-create-compute-resources_instructions.html

00:00
0043 004_exercise-part-3-explore-data_instructions.html

00:00
0044 005_exercise-part-4-create-and-run-a-training-pipeline_instructions.html

00:00
0045 006_exercise-part-5-evaluate-a-classification-model_instructions.html

00:00
0046 007_exercise-part-6-create-an-inference-pipeline_instructions.html

00:00
0047 008_exercise-part-7-deploy-a-predictive-service_instructions.html

00:00
0048 009_exercise-part-8-clean-up_instructions.html

00:00
0049 010_exercise-quiz_quiz.html

00:00
0050 011_knowledge-check_quiz.html

00:00
0051 012_test-prep_exam.html

00:00
0054 013_weekly-summary.mp4

00:00
0057 001_what-is-clustering.mp4

00:00
0058 002_exercise-create-a-microsoft-azure-machine-learning-workspace_instructions.html

00:00
0059 003_exercise-part-1-create-compute-resources_instructions.html

00:00
0060 004_exercise-part-2-explore-data_instructions.html

00:00
0062 005_exercise-part-3-create-and-run-a-training-pipeline_instructions.html

00:00
0063 006_exercise-part-4-evaluate-a-classification-model_instructions.html

00:00
0064 007_exercise-part-5-create-an-inference-pipeline_instructions.html

00:00
0065 008_exercise-part-6-deploy-a-predictive-service_instructions.html

00:00
0066 009_exercise-part-7-clean-up_instructions.html

00:00
0067 010_exercise-quiz_quiz.html

00:00
0068 011_knowledge-check_quiz.html

00:00
0069 012_test-prep_exam.html

00:00
0072 013_weekly-summary.mp4

00:00
0075 001_course-wrap-up.mp4

00:00
0076 002_what-to-expect-next_instructions.html

00:00
links.txt

00:00
0004 002_course-syllabus_instructions.html

00:00
0005 003_how-to-be-successful-in-this-course_instructions.html

00:00
Section Quiz

03. Build and Operate Machine Learning Solutions with Azure
new topic

0005 003_how-to-be-successful-in-this-course_instructions.html

00:00
0008 001_lesson-introduction.mp4

00:00
0011 002_azure-machine-learning-workspaces.mp4

00:00
0012 003_exercise-create-a-workspace_instructions.html

00:00
0013 004_exercise-quiz_quiz.html

00:00
0016 005_azure-machine-learning-tools-and-interfaces.mp4

00:00
0019 006_azure-machine-learning-experiments.mp4

00:00
0020 007_exercise-run-experiments_instructions.html

00:00
0021 008_exercise-quiz_quiz.html

00:00
0022 009_knowledge-check_quiz.html

00:00
0025 010_lesson-summary.mp4

00:00
0026 011_additional-reading_instructions.html

00:00
0029 001_lesson-introduction.mp4

00:00
0030 002_run-a-training-script_instructions.html

00:00
0031 003_using-script-parameters_instructions.html

00:00
0032 004_registering-models_instructions.html

00:00
0033 005_exercise-training-and-registering-a-model_instructions.html

00:00
0034 006_exercise-quiz_quiz.html

00:00
0035 007_knowledge-check_quiz.html

00:00
0036 008_test-prep_exam.html

00:00
0039 009_lesson-summary.mp4

00:00
0042 001_lesson-introduction.mp4

00:00
0045 002_introduction-to-datastores.mp4

00:00
0048 003_use-datastores.mp4

00:00
0049 004_introduction-to-datasets_instructions.html

00:00
0050 005_use-datasets_instructions.html

00:00
0051 006_exercise-work-with-data_instructions.html

00:00
0052 007_exercise-quiz_quiz.html

00:00
0053 008_knowledge-check_quiz.html

00:00
0056 009_lesson-summary.mp4

00:00
0057 010_additional-reading_instructions.html

00:00
0060 001_lesson-introduction.mp4

00:00
0063 002_environments-in-azure-machine-learning.mp4

00:00
0064 003_creating-environments_instructions.html

00:00
0067 004_introduction-to-compute-targets.mp4

00:00
0068 005_create-compute-targets_instructions.html

00:00
0069 006_use-compute-targets_instructions.html

00:00
0070 007_exercise-work-with-compute-contexts_instructions.html

00:00
0071 008_exercise-quiz_quiz.html

00:00
0072 009_knowledge-check_quiz.html

00:00
0073 010_test-prep_exam.html

00:00
0076 011_lesson-summary.mp4

00:00
0077 012_additional-reading_instructions.html

00:00
0080 001_lesson-introduction.mp4

00:00
0083 002_introduction-to-pipelines.mp4

00:00
0086 003_pass-data-between-pipeline-steps.mp4

00:00
0087 004_outputfiledatasetconfig-step-inputs-and-outputs_instructions.html

00:00
0088 005_reuse-pipeline-steps_instructions.html

00:00
0089 006_publish-pipelines_instructions.html

00:00
0090 007_use-pipeline-parameters_instructions.html

00:00
0091 008_schedule-pipelines_instructions.html

00:00
0092 009_exercise-create-a-pipeline_instructions.html

00:00
0093 010_exercise-quiz_quiz.html

00:00
0094 011_knowledge-check_quiz.html

00:00
0097 012_lesson-summary.mp4

00:00
0099 013_additional-reading_instructions.html

00:00
0102 001_lesson-introduction.mp4

00:00
0103 002_deploy-a-model-as-a-real-time-service_instructions.html

00:00
0104 003_consume-a-real-time-inferencing-service_instructions.html

00:00
0107 004_troubleshoot-service-deployment.mp4

00:00
0108 005_exercise-deploy-a-model-as-a-real-time-service_instructions.html

00:00
0109 006_exercise-quiz_quiz.html

00:00
0110 007_knowledge-check_quiz.html

00:00
0111 008_test-prep_exam.html

00:00
0114 009_lesson-summary.mp4

00:00
0117 001_lesson-introduction.mp4

00:00
0118 002_creating-a-batch-inference-pipeline_instructions.html

00:00
0119 003_publishing-a-batch-inference-pipeline_instructions.html

00:00
0120 004_exercise-create-a-batch-inference-pipeline_instructions.html

00:00
0121 005_exercise-quiz_quiz.html

00:00
0122 006_knowledge-check_quiz.html

00:00
0125 007_lesson-summery.mp4

00:00
0128 001_lesson-introduction.mp4

00:00
0131 002_defining-a-search-space.mp4

00:00
0132 003_configuring-sampling_instructions.html

00:00
0135 004_configuring-early-termination.mp4

00:00
0136 005_running-a-hyperparameter-tuning-experiment_instructions.html

00:00
0137 006_exercise-tune-hyperparameters_instructions.html

00:00
0138 007_exercise-quiz_quiz.html

00:00
0139 008_knowledge-check_quiz.html

00:00
0140 009_test-prep_exam.html

00:00
0143 010_lesson-summary.mp4

00:00
0146 001_lesson-introduction.mp4

00:00
0149 002_automated-machine-learning-tasks-and-algorithms.mp4

00:00
0152 003_preprocessing-and-featurization.mp4

00:00
0153 004_running-automated-machine-learning-experiments_instructions.html

00:00
0154 005_exercise-using-automated-machine-learning_instructions.html

00:00
0155 006_exercise-quiz_quiz.html

00:00
0156 007_knowledge-check_quiz.html

00:00
0159 008_lesson-summary.mp4

00:00
0160 009_additional-reading_instructions.html

00:00
0163 001_lesson-introduction.mp4

00:00
0166 002_understand-differential-privacy.mp4

00:00
0169 003_configure-data-privacy-parameters.mp4

00:00
0170 004_exercise-use-differential-privacy_instructions.html

00:00
0171 005_exercise-quiz_quiz.html

00:00
0172 006_knowledge-check_quiz.html

00:00
0175 007_lesson-summery.mp4

00:00
0176 008_additional-reading_instructions.html

00:00
0179 001_lesson-introduction.mp4

00:00
0182 002_feature-importance.mp4

00:00
0185 003_using-explainers.mp4

00:00
0186 004_creating-explanations_instructions.html

00:00
0189 005_visualizing-explanations.mp4

00:00
0190 006_exercise-interpret-models_instructions.html

00:00
0191 007_exercise-quiz_quiz.html

00:00
0192 008_knowledge-check_quiz.html

00:00
0193 009_test-prep_exam.html

00:00
0196 010_lesson-summary.mp4

00:00
0197 011_additional-reading_instructions.html

00:00
0200 001_lesson-introduction.mp4

00:00
0203 002_consider-model-fairness.mp4

00:00
0206 003_analyze-model-fairness-with-fairlearn.mp4

00:00
0209 004_mitigate-unfairness-with-fairlearn.mp4

00:00
0210 005_exercise-use-fairlearn-with-azure-machine-learning_instructions.html

00:00
0211 006_exercise-quiz_quiz.html

00:00
0212 007_knowledge-check_quiz.html

00:00
0215 008_lesson-summary.mp4

00:00
0216 009_additional-reading_instructions.html

00:00
0219 001_lesson-introduction.mp4

00:00
0222 002_enable-application-insights.mp4

00:00
0223 003_capture-and-view-telemetry_instructions.html

00:00
0224 004_exercise-monitor-a-model_instructions.html

00:00
0225 005_exercise-quiz_quiz.html

00:00
0226 006_knowledge-check_quiz.html

00:00
0229 007_lesson-summary.mp4

00:00
0230 008_additional-reading_instructions.html

00:00
0233 001_lesson-introduction.mp4

00:00
0236 002_creating-a-data-drift-monitor.mp4

00:00
0239 003_scheduling-alerts.mp4

00:00
0240 004_exercise-monitor-data-drift_instructions.html

00:00
0241 005_exercise-quiz_quiz.html

00:00
0242 006_knowledge-check_quiz.html

00:00
0243 007_test-prep_exam.html

00:00
0246 008_lesson-summary.mp4

00:00
0247 009_additional-reading_instructions.html

00:00
0250 001_congratulations.mp4

00:00
0251 002_next-steps_instructions.html

00:00
0003 001_introduction-to-modern-data-warehouse-analytics-in-azure.mp4

00:00
Readme.txt

00:00

04. Perform data science with Azure Databricks
new topic

0098 012_lesson-summary.mp4

00:00
0101 001_lesson-introduction.mp4

00:00
0102 002_perform-featurization-of-the-dataset_instructions.html

00:00
0103 003_exercise-finish-featurization-of-the-dataset_instructions.html

00:00
0104 004_exercise-quiz_quiz.html

00:00
0105 005_understand-regression-modeling_instructions.html

00:00
0106 006_exercise-build-and-interpret-a-regression-model_instructions.html

00:00
0107 007_exercise-quiz_quiz.html

00:00
0108 008_knowledge-check_quiz.html

00:00
0109 009_test-prep_exam.html

00:00
0112 010_lesson-summary.mp4

00:00
0113 011_additional-resources_instructions.html

00:00
0116 001_lesson-introduction.mp4

00:00
0117 002_use-mlflow-to-track-experiments-log-metrics-and-compare-runs_instructions.html

00:00
0118 003_exercise-work-with-mlflow-to-track-experiment-metrics-parameters-artifacts-and_instructions.html

00:00
0119 004_exercsie-quiz_quiz.html

00:00
0120 005_knowledge-check_quiz.html

00:00
0123 006_lesson-summary.mp4

00:00
0126 001_lesson-introduction.mp4

00:00
0127 002_describe-model-selection-and-hyperparameter-tuning_instructions.html

00:00
0128 003_exercise-select-optimal-model-by-tuning-hyperparameters_instructions.html

00:00
0129 004_exercsie-quiz_quiz.html

00:00
0130 005_knowledge-check_quiz.html

00:00
0131 006_test-prep_exam.html

00:00
0134 007_lesson-summary.mp4

00:00
0135 008_additional-resources_instructions.html

00:00
0138 001_lesson-introduction.mp4

00:00
0139 002_use-horovod-to-train-a-deep-learning-model_instructions.html

00:00
0140 003_use-petastorm-to-read-in-apache-parquet-format-with-horovod-for-distributed_instructions.html

00:00
0141 004_exercise-work-with-horovod-and-petastorm-for-training-a-deep-learning-model_instructions.html

00:00
0142 005_exercsie-quiz_quiz.html

00:00
0143 006_knowledge-check_quiz.html

00:00
0146 007_lesson-summary.mp4

00:00
0149 001_lesson-introduction.mp4

00:00
0150 002_use-azure-machine-learning-to-deploy-serving-models_instructions.html

00:00
0151 003_knowledge-check_quiz.html

00:00
0152 004_test-prep_exam.html

00:00
0155 005_lesson-summary.mp4

00:00
0156 006_additional-resources_instructions.html

00:00
0159 001_congratulations.mp4

00:00
0160 002_next-steps_instructions.html

00:00
0003 001_introduction-to-the-course.mp4

00:00
Readme.txt

00:00
0004 002_course-syllabus_instructions.html

00:00
0005 003_how-to-be-successful-in-this-course_instructions.html

00:00
0008 001_explain-azure-databricks.mp4

00:00
0009 002_create-an-azure-databricks-workspace-and-cluster_instructions.html

00:00
0010 003_create-and-execute-a-notebook_instructions.html

00:00
0011 004_exercise-work-with-notebooks_instructions.html

00:00
0012 005_exercise-quiz_quiz.html

00:00
0013 006_knowledge-check_quiz.html

00:00
0016 007_lesson-summary.mp4

00:00
0019 001_lesson-introduction.mp4

00:00
0022 002_understand-the-architecture-of-azure-databricks-spark-cluster.mp4

00:00
0025 003_understand-the-architecture-of-spark-job.mp4

00:00
0026 004_knowledge-check_quiz.html

00:00
0027 005_test-prep_exam.html

00:00
0030 006_lesson-summary.mp4

00:00
0033 001_lesson-introduction.mp4

00:00
0034 002_read-data-in-csv-format_instructions.html

00:00
0035 003_read-data-in-json-format_instructions.html

00:00
0036 004_read-data-in-parquet-format_instructions.html

00:00
0037 005_read-data-stored-in-tables-and-views_instructions.html

00:00
0038 006_write-data_instructions.html

00:00
0039 007_exercises-read-and-write-data_instructions.html

00:00
0040 008_exercise-quiz_quiz.html

00:00
0041 009_knowledge-check_quiz.html

00:00
0044 010_lesson-summary.mp4

00:00
0047 001_lesson-introduction.mp4

00:00
0048 002_describe-a-dataframe_instructions.html

00:00
0049 003_use-common-dataframe-methods_instructions.html

00:00
0050 004_use-the-display-function_instructions.html

00:00
0051 005_exercise-distinct-articles_instructions.html

00:00
0052 006_knowledge-check_quiz.html

00:00
0053 007_test-prep_exam.html

00:00
0056 008_lesson-summary.mp4

00:00
0059 001_describe-the-open-source-delta-lake.mp4

00:00
0060 002_get-started-with-delta-using-spark-apis_instructions.html

00:00
0062 003_exercise-work-with-basic-delta-lake-functionality_instructions.html

00:00
0063 004_exercise-quiz_quiz.html

00:00
0064 005_describe-how-azure-databricks-manages-delta-lake_instructions.html

00:00
0065 006_exercise-use-the-delta-lake-time-machine-and-perform-optimization_instructions.html

00:00
0066 007_exercise-quiz_quiz.html

00:00
0067 008_knowledge-check_quiz.html

00:00
0070 009_lesson-summary.mp4

00:00
0073 001_lesson-introduction.mp4

00:00
0074 002_write-user-defined-functions_instructions.html

00:00
0075 003_exercise-perform-extract-transform-load-etl-operations-using-user-defined_instructions.html

00:00
0076 004_exercise-quiz_quiz.html

00:00
0077 005_knowledge-check_quiz.html

00:00
0078 006_test-prep_exam.html

00:00
0081 007_lesson-summary.mp4

00:00
0082 008_additional-resources_instructions.html

00:00
0085 001_lesson-introduction.mp4

00:00
0086 002_understand-machine-learning_instructions.html

00:00
0087 003_exercise-train-a-model-and-create-predictions_instructions.html

00:00
0088 004_exercise-quiz_quiz.html

00:00
0089 005_understand-data-using-exploratory-data-analysis_instructions.html

00:00
0090 006_exercise-perform-exploratory-data-analysis_instructions.html

00:00
0091 007_exercise-quiz_quiz.html

00:00
0092 008_describe-machine-learning-workflows_instructions.html

00:00
0093 009_exercise-build-and-evaluate-a-baseline-machine-learning-model_instructions.html

00:00
0094 010_exercise-quiz_quiz.html

00:00
0095 011_knowledge-check_quiz.html

00:00
Section Quiz

05. Prepare for DP-100 Data Science on Microsoft Azure Exam
new topic

0004 002_course-syllabus_instructions.html

00:00
0005 003_how-to-be-successful-in-this-course_instructions.html

00:00
0006 004_sign-up-for-the-proctored-exam_dashboard.aspx

00:00
0010 001_lesson-introduction.mp4

00:00
0011 002_microsoft-certification-paths_instructions.html

00:00
0012 003_the-microsoft-role-based-certification_instructions.html

00:00
0015 004_jobs-and-careers.mp4

00:00
0016 005_additional-resources_instructions.html

00:00
0019 001_lesson-introduction.mp4

00:00
0021 002_how-to-prepare-for-the-proctored-examination_Online-proctored.aspx

00:00
0022 003_topics-covered-in-the-exam_instructions.html

00:00
0023 004_how-the-exam-is-administered_instructions.html

00:00
0026 005_exam-strategy.mp4

00:00
0029 006_tips-and-tricks.mp4

00:00
0030 007_additional-resources_instructions.html

00:00
0033 001_lesson-introduction.mp4

00:00
0036 002_recap-of-topics-and-key-concepts-covered-in-create-machine-learning-models.mp4

00:00
0037 003_practice-exam-covering-course-1-create-machine-learning-models_exam.html

00:00
0040 001_lesson-introduction.mp4

00:00
0043 002_recap-of-topics-and-key-concepts-covered-in-create-no-code-predictive-models.mp4

00:00
0044 003_practice-exam-covering-course-2-create-no-code-predictive-models-with-azure_exam.html

00:00
0047 001_lesson-introduction.mp4

00:00
0050 002_recap-of-topics-and-key-concepts-covered-in-build-and-operate-machine-learning.mp4

00:00
0051 003_practice-exam-covering-course-3-build-and-operate-machine-learning-solutions_exam.html

00:00
0054 001_lesson-introduction.mp4

00:00
0057 002_recap-of-topics-and-key-concepts-covered-in-perform-data-science-with-azure.mp4

00:00
0058 003_practice-exam-covering-course-4-perform-data-science-with-azure-databricks_exam.html

00:00
0061 001_lesson-introduction.mp4

00:00
0062 002_weighted-core-concepts-skills-measured_instructions.html

00:00
0063 003_full-practice-exam_exam.html

00:00
0066 001_career-support-information.mp4

00:00
0067 002_congratulations-whats-next_instructions.html

00:00
0068 003_sign-up-for-the-proctored-exam_dashboard.aspx

00:00
0070 004_covid-19-relief-for-taking-the-exam_instructions.html

00:00
0071 005_additional-reading_instructions.html

00:00
0072 001_what-to-expect-next_instructions.html

00:00
links.txt

00:00
Section Quiz

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

Student Ratings & Reviews

No Review Yet

About Course

What Will You Learn?

Course Content

01. Create Machine Learning Models in Microsoft Azure new topic

A Message from the Professor

0007 003_course-syllabus_instructions.html

0008 004_exam-dp-100-skills-measured_instructions.html

0009 005_how-to-be-successful-in-this-course_instructions.html

0012 001_lesson-introduction.mp4

0013 002_explore-data-with-numpy-and-pandas_instructions.html

0014 003_exercise-explore-data-with-numpy-and-pandas_instructions.html

0015 004_exercise-quiz_quiz.html

0016 005_visualize-data_instructions.html

0017 006_exercise-visualize-data-with-matplotlib_instructions.html

0018 007_exercise-quiz_quiz.html

0019 008_examine-real-world-data_instructions.html

0020 009_exercise-examine-real-world-data_instructions.html

0021 010_exercise-quiz_quiz.html

0022 011_knowledge-check_quiz.html

0025 012_lesson-summary.mp4

0028 001_lesson-introduction.mp4

0031 002_what-is-regression.mp4

0032 003_exercise-train-and-evaluate-a-regression-model_instructions.html

0033 004_exercise-quiz_quiz.html

0034 005_discover-new-regression-models_instructions.html

0035 006_exercise-experiment-with-more-powerful-regression-models_instructions.html

0036 007_exercise-quiz_quiz.html

0037 008_improve-models-with-hyperparameters_instructions.html

0038 009_exercise-optimize-and-save-models_instructions.html

0039 010_exercise-quiz_quiz.html

0040 011_knowledge-check_quiz.html

0041 012_test-prep_exam.html

0044 013_lesson-summary.mp4

0047 001_lesson-introduction.mp4

0050 002_what-is-classification.mp4

0051 003_exercise-train-and-evaluate-a-classification-model_instructions.html

0052 004_exercise-quiz_quiz.html

0055 005_evaluate-classification-models.mp4

0056 006_exercise-perform-classification-with-alternative-metrics_instructions.html

0057 007_exercise-quiz_quiz.html

0058 008_create-multiclass-classification-models_instructions.html

0059 009_exercise-train-and-evaluate-multiclass-classification-models_instructions.html

0060 010_exercise-quiz_quiz.html

0061 011_knowledge-check_quiz.html

0064 012_lesson-summary.mp4

0067 001_lesson-introduction.mp4

0070 002_what-is-clustering.mp4

0071 003_exercise-train-and-evaluate-a-clustering-model_instructions.html

0072 004_exercise-quiz_quiz.html

0073 005_evaluate-different-types-of-clustering_instructions.html

0074 006_exercise-train-and-evaluate-advanced-clustering-models_instructions.html

0075 007_exercise-quiz_quiz.html

0076 008_knowledge-check_quiz.html

0077 009_test-prep_exam.html

0080 010_lesson-summary.mp4

0083 001_lesson-introduction.mp4

0086 002_deep-neural-network-concepts.mp4

0087 003_exercise-train-a-deep-neural-network_instructions.html

0089 004_exercise-quiz_quiz.html

0090 005_knowledge-check_quiz.html

0093 006_lesson-summary.mp4

0096 001_lesson-introduction.mp4

0099 002_layers-in-a-convolutional-neural-network.mp4

0100 003_exercise-train-a-convolutional-neural-network_instructions.html

0101 004_exercise-quiz_quiz.html

0104 005_transfer-learning.mp4

0105 006_exercise-use-transfer-learning_instructions.html

0106 007_exercise-quiz_quiz.html

0107 008_knowledge-check_quiz.html

0108 009_test-prep_exam.html

0111 010_lesson-summary.mp4

0114 001_course-wrap-up.mp4

0115 002_what-to-expect-next_instructions.html

0003 001_introduction-to-the-course.mp4

Section Quiz

02. Microsoft Azure Machine Learning for Data Scientists new topic

0008 001_azure-machine-learning-to-train-and-deploy-a-predictive-model.mp4

0009 002_exercise-part-1-create-a-microsoft-azure-machine-learning-workspace_instructions.html

0010 003_exercise-part-2-create-compute-resources_instructions.html

0011 004_exercise-part-3-explore-data_instructions.html

01. Create Machine Learning Models in Microsoft Azure
new topic

02. Microsoft Azure Machine Learning for Data Scientists
new topic

03. Build and Operate Machine Learning Solutions with Azure
new topic