Search result for Statistical techniques Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 266 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Master statistics & machine learning: intuition, math, code
by Mike X Cohen- 4.7
-
![]()
![]()
![]()
![]()
![]()
38 hours on-demand video
This means that many jobs and areas of study are based on applications of statistical and machine-learning techniques in programming languages like Python and MATLAB. After completing this course, you will be able to understand a wide range of statistical and machine-learning analyses, even specific advanced methods that aren't taught here....
$13.99
Feature Selection for Machine Learning
by Soledad Galli- 4.7
-
![]()
![]()
![]()
![]()
![]()
5 hours on-demand video
How to select features based on statistical tests Throughout the course, you are going to learn multiple techniques for each of the mentioned tasks, and you will learn to implement these techniques in an elegant, efficient, and professional manner, using Python, Scikit-learn, pandas and mlxtend....
$12.99
Lean Six Sigma Green Belt for Service Industry Professionals
by Koundinya Nemana (Edushore)- 4.4
-
![]()
![]()
![]()
![]()
![]()
6.5 hours on-demand video
Key concepts, various tools and techniques of Lean Six Sigma Green Belt and their benefits Different types of data, data collection mechanisms, and data analysis techniques with Lean Six Sigma Green Belt How to represent data graphically and how to apply statistical analysis techniques with Lean Six Sigma Green Belt...
$9.99
Operations Management: Strategy and Quality Management for the Digital Age
by Udatta Palekar- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
• Relate underlying principles to frameworks and techniques used for process improvement • Apply analytical techniques for tactical decisions in a process improvement project 1 Statistical Process Control (Part 1) 2 Statistical Process Control (Part 2) 3 Statistical Process Control (Part 3) 4 Statistical Process Control (Part 4) 5 Statistical Process Control (Part 5)...
Applied Data Visualization with R and ggplot2
by Packt Publishing- 3.9
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
You'll also get to grips with plotting trends, correlations, and statistical summaries....
$9.99
[2021] Data Science: A-Z Bootcamp + Real Cases (Version 8.1)
by William McGuffey Academy- 4.4
-
![]()
![]()
![]()
![]()
![]()
27 hours on-demand video
• Acquire the skill to demonstrate knowledge of statistical data analysis techniques that can be utilized in making a business decision and actionable business strategies ACQUIRE the skill to demonstrate knowledge of statistical data analysis techniques that can be utilized in making a business decision and actionable business strategies...
$12.99
Real-World Data Science with Spark 2
by Packt Publishing- 4
-
![]()
![]()
![]()
![]()
![]()
3.5 hours on-demand video
Remember that throughout this course, we will add many powerful techniques to your arsenal that will help us solve the problems. You will also learn to apply statistical analysis and mining operations on your dataset. He is an expert in statistical analysis, predictive analytics, machine learning, Bitcoin, Blockchain, and programming in C, R, and Python....
$12.99
Related searches
Cluster Analysis- Theory & workout using SAS and R
by Gopal Prasad Malakar- 3.7
-
![]()
![]()
![]()
![]()
![]()
5 hours on-demand video
About the course - Cluster analysis is one of the most popular techniques used in data mining for marketing needs. Statistical foundation and practical application: Understand...
$12.99
Data Analysis with R
by Mangirdas Adomaitis- 4
-
![]()
![]()
![]()
![]()
![]()
5 hours on-demand video
Finally, data mining and data science techniques in R delivered in clear fashion together with assignments to make sure you understand topics. Main statistical capabilities behind data science covered....
$9.99
How to Win a Data Science Competition: Learn from Top Kagglers
by Dmitry Ulyanov , Alexander Guschin , Mikhail Trofimov , Dmitry Altukhov , Marios Michailidis- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 54 hours to complete
- Be taught advanced feature engineering techniques like generating mean-encodings, using aggregated statistical measures or finding nearest neighbors as a means to improve your predictions....
Previous
