Search result for Data analysis & statistics Online Courses & Certifications
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Foundations of strategic business analytics
by Nicolas Glady- 4.4
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Approx. 8 hours to complete
This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. Prerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering) It is all about value not data...
Applied Statistical Modeling for Data Analysis in R
by Minerva Singh- 4.2
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9.5 hours on-demand video
Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R APPLIED STATISTICAL MODELING FOR DATA ANALYSIS IN R COMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R...
$14.99
Fundamentals of Data Science & Machine Learning with Python
by Aditya Khedkar- 4.2
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5 hours on-demand video
Learn Data Science, Probability & Statistics, Python, Data Gathering & Cleaning, Machine Learning & Data Visualization Data science is a multidisciplinary field. So Data scientist also needs to be multidisciplinary Understanding of the data science field and the type of analysis carried out based on project objectives Statistics and Probability Data Visualization...
$12.99
Excel Data Analysis and Problem Solving
by Mofeed Abouseafa- 0.0
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4.5 hours on-demand video
- Using consolidate to merge data - Create pivot table and use it in data analysis - Use the analysis ToolPak such as ANOVA test, descriptive statistics and histogram chart...
$12.99
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Probability: Basic Concepts & Discrete Random Variables
by Mark D. Ward- 0.0
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6 Weeks
Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science. In this statistics and data analysis course, we will provide an introduction to mathematical probability to help meet your career goals in the exciting new areas becoming known as information science....
$49
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Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Population Health: Responsible Data Analysis
by Mar Rodriguez Girondo , Jelle Goeman , Saskia le Cessie- 4.6
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Approx. 21 hours to complete
In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population. Welcome to Responsible Data Analysis Population health: Responsible Data Analysis Initial data analysis Case study: Initial data analysis in practice...
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