Search result for Data analysis course for beginners Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 2,728 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Advanced R Programming
by Roger D. Peng, PhD , Brooke Anderson- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. for Loops Nested for loops Reuse existing data structures...
Data Structures
by Alexander S. Kulikov , Michael Levin , Daniel M Kane , Neil Rhodes- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 25 hours to complete
A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will also learn typical use cases for these data structures. (Optional) Splay Trees: Analysis...
Foundations of Sports Analytics: Data, Representation, and Models in Sports
by Wenche Wang , Stefan Szymanski- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 49 hours to complete
This course does not simply explain methods and techniques, it enables the learner to apply them to sports datasets of interest so that they can generate their own results, rather than relying on the data processing performed by others. Regression Analysis - Intro to Cricket Data Using regression analysis - an example with NBA data...
Data Analysis with R Programming
by Google Career CertificatesTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 37 hours to complete
This course is the seventh course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. Hands-On Activity: Visualizing data with ggplot2...
Inclusive Analytic Techniques
by Sarah Kaplan , Brian Silverman , Chanel Grenaway , Karen Sihra, PhD- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
The course covers both quantitative and qualitative data collection and analysis, including basic statistical techniques and practical instructions for working with customers, beneficiaries and other stakeholders. Ethical and legal considerations in inclusive data collection Quantitative data analysis through a gender lens: probability Quantitative data analysis through a gender lens: data and interpretation...
Introduction to the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
This course introduces a powerful set of data science tools known as the Tidyverse. The Tidyverse has revolutionized the way in which data scientists do almost every aspect of their job. We will cover the simple idea of "tidy data" and how this idea serves to organize data for analysis and modeling. Rules for Storing Tidy Data...
Forensic Accounting and Fraud Examination
by Dr. Richard Riley, Ph.D , Dr. Richard Dull, Ph.D , John Gill, J.D., CFE- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 7 hours to complete
In this course we are going to help you answer the questions: who commits fraud, why and how. We’ll also help you develop skills for catching them. Getting the Most from this Course Using Data and Technology for Fraud Detection and Investigation Data Analysis Tools Benford Analysis Availability of Data and Text Analysis...
Related searches
Methods and Statistics in Social Science - Final Research Project
by Annemarie Zand Scholten- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
Course format - How is this course structured? Honor Code - Integrity in this course Preparing for Milestone 1 - Research topic Preparing for Milestone 1 - Research topic Milestone 4 - Data collection, methods documentation and analysis plan Milestone 4 - Data collection, methods documentation and analysis plan Instruction - How to document methods and create an analysis plan...
Advanced Business Analytics Capstone
by Manuel Laguna , Dan Zhang , David Torgerson- 4.3
-
![]()
![]()
![]()
![]()
![]()
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...
Design and Implementation of Digital Health Interventions
by Lisa Danquah , Céire Costelloe- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
This course covers various themes around design, regulatory approaches, ethics, technology adoption, implementation and strategy as applied to digital health. The strategy part of this course focuses on understanding a simple strategy for digital health through PESTLE and SWOT analysis, and examples of their application in digital health. Optional: A business case for data standards...
Previous
