Search result for Introduction to data science in python Online Courses & Certifications
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Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
Approx. 10 hours to complete
Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering. SAS or Python - Which to Choose? Uploading Your Own Data to SAS Data Management for Lasso Regression in Python...
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. Introduction to Regression Lesson 4: Introduction to Multivariate Methods How to Write About Data SAS or Python - Which to Choose? Uploading Your Own Data to SAS Lesson 2: A Few Things to Keep in Mind...
Art and Science of Machine Learning
by Google Cloud Training- 4.6
Approx. 19 hours to complete
Welcome to the Art and Science of machine learning. This course is delivered in 6 modules. We’ll cover some of the most common model optimization algorithms and show you how to specify an optimization method in your TensorFlow code. Lab Intro: Export data from BigQuery to Google Cloud Storage Introduction to Neural Networks Introduction to Embeddings...
Inferential Statistical Analysis with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.6
Approx. 19 hours to complete
In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. Introduction to Confidence Intervals in Python Introduction to Hypothesis Testing in Python...
Python and Statistics for Financial Analysis
by Xuhu Wan- 4.4
Approx. 13 hours to complete
Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. Jupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications. Visualizing and Munging Stock Data...
Computational Social Science Methods
by Martin Hilbert- 4.7
Approx. 11 hours to complete
All of them study human behavior in order to shape it. In short, all of them do social science by computational means. Computational Social Science (CSS) Example of Computational Social Science: Data Science Introduction to Examples of CSS (Part 1) Introduction to Examples of CSS (Part 2) Introduction to Social Networks and Computer Simulations...
Promote the Ethical Use of Data-Driven Technologies
by Renée Cummings , Aaron Hui , Megan Smith Branch , Eleanor 'Nell' Watson , Tania De Gasperis- 4.7
Approx. 21 hours to complete
You will learn types of bias and common ethical theories and how they can be applied to emerging technology, and examine legal and ethical privacy concepts as they relate to technologies such as artificial intelligence, machine learning and data science fields. Data Science Ethics in Practice Confirmation Bias in Data Science...
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Genomic Data Science Capstone
by Jeff Leek, PhD , Kasper Daniel Hansen, PhD- 4.5
Approx. 12 hours to complete
In this culminating project, you will deploy the tools and techniques that you've mastered over the course of the specialization. You'll work with a real data set to perform analyses and prepare a report of your findings. Introduction to the Capstone - Kasper Hansen Introduction to the Dataset - Andrew Jaffe...
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
Approx. 18 hours to complete
SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. Connecting to CAS and Reading in Data Demo: Modeling Sparse Data Using the Python API...
Machine Learning for Accounting with Python
by Linden Lu- 0.0
Approx. 63 hours to complete
While Accounting Data Analytics with Python covers data understanding and data preparation in the data analytics process, this course covers the next two steps in the process, modeling and model evaluation. 2 Introduction to Data Preprocessing MODULE 8: INTRODUCTION TO TIME SERIES DATA How to apply machine learning models on datasets with Python in Jupyter Notebook....