Search result for Data analysis course for beginners Online Courses & Certifications
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Big Data Integration and Processing
by Ilkay Altintas , Amarnath Gupta- 4.4
Approx. 18 hours to complete
*Retrieve data from example database and big data management systems This course is for those new to data science. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Slides for Big Data Processing Tools and Systems Exporting Data from MongoDB to a CSV File...
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
Approx. 14 hours to complete
A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization. Exploratory Data Analysis and Introduction to Inference Exploratory Data Analysis and Introduction to Inference Project...
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
Approx. 7 hours to complete
The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. The course covers terminology and concepts, tools and methods, use cases and success stories of data science applications. The course explains what is Data Science and why it is so hyped. Data Science Methods for Business...
Preparing for the Google Cloud Professional Data Engineer Exam
by Google Cloud Training- 4.6
Approx. 9 hours to complete
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation. Understanding the Professional Data Engineer Certification Modeling business processes for analysis and optimization Course Summary Quiz - Prep for the Exam...
Addressing Large Hadron Collider Challenges by Machine Learning
by Andrei Ustyuzhanin , Mikhail Hushchyn- 4.5
Approx. 24 hours to complete
In this course we’ll introduce students into the main concepts of the Physics behind those data flow so the main puzzles of the Universe Physicists are seeking answers for will be much more transparent. The assignments of this course will give you opportunity to apply your skills in the search for the New Physics using advanced data analysis techniques....
Survey analysis to Gain Marketing Insights
by David Schweidel- 4.5
Approx. 5 hours to complete
XL Stat offers a 30-day free trial, so students could complete this course without incurring additional expense. Introduction to Factor Analysis Using Factor Analysis to Identify Underlying Constructs - Part 1 Using Factor Analysis to Identify Underlying Constructs - Part 2 Implementing Factor Analysis Using Factor Analysis to Identify Underlying Constructs - Part 3...
Regression Modeling in Practice
by Jen Rose , Lisa Dierker- 4.4
Approx. 11 hours to complete
This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Some Guidance for Learners New to the Specialization Getting Set up for Assignments How to Write About Data Course Codebooks Course Data Sets Uploading Your Own Data to SAS SAS Program Code for Video Examples...
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Exploratory Data Analysis
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.7
Approx. 55 hours to complete
This course covers the essential exploratory techniques for summarizing data. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. Welcome to Exploratory Data Analysis Exploratory Data Analysis with R Book Apply cluster analysis techniques to locate patterns in data...
Statistical Thinking for Industrial Problem Solving, presented by JMP
by Mia Stephens , Ledi Trutna- 4.8
Approx. 44 hours to complete
Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. • Describe the importance of data, and the steps needed to compile and prepare data for analysis Importing Data for Analysis Creating Tabular Summaries for Categorical Data Restructuring Data for Analysis...
Introduction to Machine Learning in Production
by Andrew NgTop Instructor , Cristian Bartolomé ArámburuTop Instructor- 4.8
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....