Search result for Data analysis and visualization specialization Online Courses & Certifications
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Excel Power Tools for Data Analysis
by Nicky Bull , Dr Prashan S. M. Karunaratne- 4.8
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Approx. 15 hours to complete
This is the third course in our Specialization on Data Analytics and Visualization. The previous courses: Excel Fundamentals for Data Analysis and Data Visualization in Excel, cover data preparation, cleaning, visualisation, and creating dashboards. Welcome to Excel Power Tools for Data Analysis Get and transform data from Excel Get and transform data from Excel...
Meaningful Marketing Insights
by David Schweidel- 4.2
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Approx. 10 hours to complete
Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. , sales) and on individual-level choice data (e. Exploring your Data with Visualization and Descriptive Statistics, Part 1 Exploring your Data with Visualization and Descriptive Statistics, Part 2 Excel Analysis of Motion Picture Industry Data Regression Analysis for Marketing Data...
Data Science with Python 3.x
by Packt Publishing- 3.9
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13.5 hours on-demand video
You will then work on large datasets and perform exploratory data analysis to investigate the dataset and to come up with the findings from it. You will also learn to scale your data analysis and execute distributed data science projects right from data ingestion to data manipulation and visualization using Dask....
$9.99
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
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Approx. 15 hours to complete
Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent format before any insights can be obtained. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources....
Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)
by Matt Austin- 4.6
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Approx. 6 hours to complete
Equally important, they will learn which data sources provide the most meaningful information and tools for how and where to locate them. Specifying a Performance Measure and Common Data Source for Measurement Interpreting Data and Telling Data's Story From Data to Action and Iteration Identify those data that are useful for monitoring and evaluating quality improvement projects....
Data Visualization in R with ggplot2
by Collin Paschall- 5
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Approx. 13 hours to complete
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. This course is the second in a specialization in Data Visualization offered by Johns Hopkins. Wickham et al, Chapters 1 and 2...
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. The Practical Data Science Specialization helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker....
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Foundations: Data, Data, Everywhere
by Google Career CertificatesTop Instructor- 4.8
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Approx. 20 hours to complete
- Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. The data analysis process and this program Learning Log: Reflect on the data analysis process Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics...
Introduction to Business Analytics: Communicating with Data
by Kevin Hartman- 4.6
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Approx. 15 hours to complete
The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Module 2: Working Fast and Thinking Slow Lecture 2-1: Understanding The Growth Of Data Lecture 2-2: Evaluating Methods Of Data Access Lecture 2-4: Planning Your Data Story...
Data Analysis Using Python
by Brandon Krakowsky- 4.5
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Approx. 17 hours to complete
Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. Coding demonstration : Catching data errors and sorting Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib...
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