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IBM Data Analyst Capstone Project
by Ramesh Sannareddy , Rav Ahuja- 4.6
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Approx. 13 hours to complete
In this course you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. Hands-on Lab 2: Collecting Data Using APIs Hands-on Lab 4: Collecting Data Using Web Scraping Hands-on Lab 5: Explore the Data Set...
Data Analysis and Reporting in SAS Visual Analytics
by Nicole Ball- 4.8
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Approx. 9 hours to complete
In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports. SAS Data Studio Versus SAS Visual Analytics Demo: Working with Data Items Demo: Exploring Data - Part 1 Demo: Exploring Data - Part 2...
Basic Data Processing and Visualization
by Julian McAuley , Ilkay Altintas- 4.3
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Approx. 11 hours to complete
This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. Review: Data Products...
Introduction to Data Analytics for Business
by David Torgerson- 4.7
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Approx. 12 hours to complete
This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish. Data Capture by Source Systems...
Analyze Data to Answer Questions
by Google Career CertificatesTop Instructor- 4.6
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Approx. 25 hours to complete
This is the fifth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. - Learn how to organize data for analysis. Types of data validation Learning Log: Finish your data analysis checklist Test your knowledge on data calculations...
Information Visualization: Foundations
by Enrico Bertini , Cristian Felix- 4.5
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Approx. 12 hours to complete
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on information visualization and to design and develop advanced applications for visual data analysis. The InfoVis pipeline (Diagram of Data Visualization Process) Key Concept: Computer Based Graphical Representations and Visualizing Abstract Data...
Salesforce Integration
by Stephane Muller- 0.0
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Approx. 13 hours to complete
Salesforce Integration explores why data management is so important, how Salesforce can help organize and display reported data to gain insight into trends and patterns, and how to automate manual business procedures. Learners will specifically practice creating custom automation process, building work flows, and performing data modeling. Assess data quality and create reports and visualize via dashboards....
Machine Learning With Big Data
by Mai Nguyen , Ilkay Altintas- 4.6
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Approx. 22 hours to complete
Want to make sense of the volumes of data you have collected? Welcome to Machine Learning With Big Data Summary of Big Data Integration and Processing Introduction to Machine Learning with Big Data Data Exploration Data Terminology Data Exploration Data Exploration through Summary Statistics Machine Learning With Big Data - Final Remarks...
Introduction to Data, Signal, and Image Analysis with MATLAB
by Jack Noble- 4.7
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Approx. 23 hours to complete
Statistical Data Analysis Data Visualization Data Classification Data Prediction Signals as Time Dependent Data Learners will understand how signals, images, and data are represented and manipulated in MATLAB Learners will gain experience with methods for data visualization, including high dimensional datasets in MATLAB Learners will apply machine learning methods for data classification and prediction in MATLAB...
Building Batch Data Pipelines on GCP
by Google Cloud Training- 4.5
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Approx. 13 hours to complete
Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. ETL to solve data quality issues...
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