Search result for Data analysis and visualization specialization Online Courses & Certifications
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Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
Data Analysis with Python
by Joseph Santarcangelo- 4.7
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Approx. 13 hours to complete
You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Data Analysis with Python will be delivered through lecture, lab, and assignments. Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset....
Excel Fundamentals for Data Analysis
by Nicky Bull , Dr Prashan S. M. Karunaratne- 4.8
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Approx. 15 hours to complete
In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Excel for data analysis. The Excel Skills for Data Analytics and Visualization courses are the sequel to one of most successful specializations on Coursera, Excel Skills for Business, which has attracted hundreds of thousands of learners and top ratings....
Data Analytics in Accounting Capstone
by Linden Lu- 0.0
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Approx. 18 hours to complete
This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply them to a real-world problem. You will explore the characteristics of the features in the dataset through statistical analysis, exploratory data analysis and visualization....
Information Visualization: Advanced Techniques
by Enrico Bertini , Cristian Felix- 4.7
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Approx. 16 hours to complete
This course aims to introduce learners to advanced visualization techniques beyond the basic charts covered in Information Visualization: Fundamentals. These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. Goal: Analyze the design space of visualization solutions for various kinds of data visualization problems....
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
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Approx. 14 hours to complete
A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. About Introduction to Probability and Data More about Introduction to Probability and Data Exploratory Data Analysis and Introduction to Inference Exploratory Data Analysis and Introduction to Inference Project Data Analysis Project Example Data Analysis Project...
Capstone: Retrieving, Processing, and Visualizing Data with Python
by Charles Russell Severance- 4.7
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Approx. 9 hours to complete
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find....
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Fundamentals of Visualization with Tableau
by Desiree' Abbott- 4.5
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Approx. 11 hours to complete
In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer....
Social Media Data Analytics
by Chirag Shah- 4.1
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Approx. 13 hours to complete
- Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr. - Process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data. (Optional) Introduction to Python for Econometrics, Statistics and Data Analysis...
Data Mining Project
by Jiawei Han , ChengXiang Zhai , John C. Hart- 4.6
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Approx. 11 hours to complete
This six-week long Project course of the Data Mining Specialization will allow you to apply the learned algorithms and techniques for data mining from the previous courses in the Specialization, including Pattern Discovery, Clustering, Text Retrieval, Text Mining, and Visualization, to solve interesting real-world data mining challenges. Data Set and Toolkit Acquisition...
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