Search result for Data analysis and visualization specialization Online Courses & Certifications
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Business Statistics and Analysis Capstone
by Sharad Borle- 4.7
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Approx. 7 hours to complete
The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand. Merging and Cleaning Data for the Capstone...
Achieving Advanced Insights with BigQuery
by Google Cloud Training- 4.7
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Approx. 10 hours to complete
Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views. Schema Design and Nested Data Structures More Visualization with Google Data Studio Advanced Data Studio: Case Statements and Filters Sharing Dashboards and Data Access Pitfalls Data Access Roles, Creating Authorized Views, and Common Pitfalls...
Communicating Data Science Results
by Bill Howe- 3.6
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Approx. 8 hours to complete
Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB. Explain the state-of-the-art in privacy, ethics, governance around big data and data science...
Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
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Approx. 19 hours to complete
Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. Gain an understanding and hands-on experience in data analytics, visualization and quantitative modeling applied to alternative data in finance...
Preparing for the Google Cloud Professional Data Engineer Exam
by Google Cloud Training- 4.6
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Approx. 9 hours to complete
Understanding the Professional Data Engineer Certification Designing Data Processing Systems Designing and building Building and Operationalizing Data Processing Systems Building and Operationalizing Data Processing Systems: Exam Guide Review Designing and Building Data Processing Systems Machine learning and unstructured data Modeling business processes for analysis and optimization Data visualization and reporting tools...
Data Analytics Foundations for Accountancy I
by Robert Brunner- 4.3
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Approx. 66 hours to complete
Welcome to Data Analytics Foundations for Accountancy I! You’re joining thousands of learners currently enrolled in the course. I'm excited to have you in the class and look forward to your contributions to the learning community. Module 3: Introduction to Data Analysis Module 4: Statistical Data Analysis Visualization of Quantitative Data Introduction to Data Visualization...
Advanced Business Analytics Capstone
by Manuel Laguna , Dan Zhang , David Torgerson- 4.3
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Approx. 19 hours to complete
The capstone project will take you from data to analysis and models, and ultimately to presentation of insights. For the first week, the goal is to understand the data and prepare the data for analysis. Module 1 - Understand the data and prepare your data for analysis Data Cleanup and Transformation What is Good Data Visualization...
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SQL for Data Science Capstone Project
by Don Noxon- 3.9
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Approx. 35 hours to complete
Whether you have successfully completed the other courses in the Learn SQL Basics for Data Science Specialization or are taking just this course, this project is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. Getting Started and Milestone 1: Project Proposal and Data Selection/Preparation...
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
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Approx. 20 hours to complete
Through this exercise you'll also be introduced to the most fundamental statistical measures and data visualization technologies. • Recognize data characteristics, patterns, trends, deviations or inconsistencies, and potential outliers. • Identify useful techniques for working with big data such as dimension reduction and feature selection methods o improve efficiency of analysis of big-data with partitioning and parallel analysis...
Introduction to Machine Learning in Production
by Andrew NgTop Instructor , Cristian Bartolomé ArámburuTop Instructor- 4.8
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Approx. 10 hours to complete
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application....
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