Search result for Applied data science specialization Online Courses & Certifications
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Guided Tour of Machine Learning in Finance
by Igor Halperin- 3.8
Approx. 24 hours to complete
Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance. Specialization Objectives Specialization Prerequisites...
Applied Social Network Analysis in Python
by Daniel Romero- 4.7
Approx. 29 hours to complete
This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python. Represent and manipulate networked data using the NetworkX library...
Visualizing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
Approx. 17 hours to complete
Data visualization is a critical part of any data science project. Once data have been imported and wrangled into place, visualizing your data can help you get a handle on what’s going on in the data set. In this course we will cover what data visualization is and define some of the basic types of data visualizations....
Gender Analytics Capstone Project
by Sarah Kaplan- 0.0
Approx. 9 hours to complete
In the final course in the Gender Analytics Specialization offered by the Institute for Gender and the Economy (GATE) at the University of Toronto's Rotman School of Management, you will practice your Gender Analytics skills in an applied learning project that will take you through the entire process for using gender-based insights to generate innovative solutions....
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
Approx. 12 hours to complete
Explain the ethical considerations regarding bias in data Use topic modeling and visualization to explore text data Employ outlier handling best practices in high dimension data This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
Data Science with Python 3.x
by Packt Publishing- 3.9
13.5 hours on-demand video
Gain useful insights from data by performing popular data science techniques using Python libraries He completed his Master's degree in Computer Science from IIT Delhi, with a specialization in data engineering. He has extensive experience as a Data Scientist in a US-based company. He currently runs a software consultancy that specializes in the data analytics and data science domain....
$9.99
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
Approx. 14 hours to complete
Data never arrive in the condition that you need them in order to do effective data analysis. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team. Tidy Data Review Reshaping Data Wide Data Long Data...
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The Data Science Method
by Alex Aklson- 0.0
7 Weeks
Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios. The major steps involved in tackling a data science problem. Why data scientists need a methodology and an approach....
$99
Big Data, Artificial Intelligence, and Ethics
by Martin Hilbert- 4.6
Approx. 12 hours to complete
This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. Big Data Overview Big Data Limitations Big Data Limitations Overview Big Data Limitations Data ≠ Reality...
Genomic Data Science and Clustering (Bioinformatics V)
by Pavel Pevzner , Phillip Compeau- 4.2
Approx. 10 hours to complete
In the first half of the course, we will introduce algorithms for clustering a group of objects into a collection of clusters based on their similarity, a classic problem in data science, and see how these algorithms can be applied to gene expression data....