Search result for Learning basic statistics Online Courses & Certifications
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Data Processing Using Python
by ZHANG Li- 4.2
Approx. 29 hours to complete
5 Basic Operations of Python Python Data Statistics and Mining 1 Basic Data Characteristics Analysis of Data Exploration 2 Data Statistics and Analysis Based on pandas 1 Extension: Scikit-learn Machine Learning Basics 1 Basic Framework of GUI...
Easy Statistics: Non-Linear Regression
by F. Buscha- 5
1 hour on-demand video
Learning and applying new statistical techniques can often be a daunting experience. "Easy Statistics" is designed to provide you with a compact, and easy to understand, course that focuses on the basic principles of statistical methodology. The main learning outcomes are: To learn and understand the basic statistical intuition behind Non-Linear regression Goodness-of-fit statistics...
$12.99
Statistical Data Analysis with SAS
by John Zhong | JSTARTS.COM- 4.4
4.5 hours on-demand video
It is designed for students with little to no background with SAS, and an understanding of the basic statistical concepts. Descriptive statistics procedures (MEANS, UNIVARIATE, FREQ) Basic knowledge of statistics is preferred....
$11.99
HR Analytics Master Course with Excel, Python and R
by Unlock HR- 4.3
13 hours on-demand video
Hence you kickstart from statistics and land on machine learning techniques. Learn applied statistics right from scratch. Understand the concept of Machine Learning – Supervised and Unsupervised Learning Techniques. And the most important is applying machine learning on HR Data and predicting futuristic insights. Learn applied statistics right from scratch and move to machine learning....
$15.99
Introduction To Data Science
by Nina Zumel- 3.6
6 hours on-demand video
Implement business solutions, using machine learning and predictive analytics. This course is designed for those who are analytically minded and are familiar with basic statistics and programming or scripting. You'll use machine learning methods to create algorithms for a business, and you'll validate and evaluate models. Students should be familiar with basic statistics and basic scripting/programming....
$29.99
Introduction to Statistics & Data Analysis in Public Health
by Alex Bottle- 4.7
Approx. 16 hours to complete
Welcome to Introduction to Statistics & Data Analysis in Public Health! You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results....
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
Approx. 9 hours to complete
This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode)....
Fundamentals of Statistics
by Philippe Rigollet , Jan-Christian Hütter , Karene Chu- 0.0
18 Weeks
-- Part of the MITx MicroMasters program in Statistics and Data Science. Statistics is the science of turning data into insights and ultimately decisions. After developing basic tools to handle parametric models, we will explore how to answer more advanced questions, such as the following: This course is part of theMITx MicroMasters Program in Statistics and Data Science....
$300
Using Machine Learning in Trading and Finance
by Jack Farmer , Ram Seshadri- 4
Approx. 19 hours to complete
This course provides the foundation for developing advanced trading strategies using machine learning techniques. By the end of the course, you will be able to design basic quantitative trading strategies, build machine learning models using Keras and TensorFlow, build a pair trading strategy prediction model and back test it, and build a momentum-based trading model and back test it....
Probabilistic Graphical Models 1: Representation
by Daphne Koller- 4.6
Approx. 67 hours to complete
These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are also a foundational tool in formulating many machine learning problems. The course also presents some important extensions beyond the basic PGM representation, which allow more complex models to be encoded compactly. Basic Definitions Basic Operations...