Search result for Trends in data science Online Courses & Certifications
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Data Science: Visualization
by Rafael Irizarry- 0.0
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8 Weeks
Learn basic data visualization principles and how to apply them using ggplot2. As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States....
$149
Advanced Data Science Capstone
by Romeo Kienzler- 4.6
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Approx. 9 hours to complete
This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability....
Getting Started with Data Visualization in R
by Collin Paschall- 4.8
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Approx. 12 hours to complete
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. Functions in R Dataframes and Importing Data in R Data import and structure in the tidyverse...
The Construction Industry: The Way Forward
by Ibrahim Odeh, Ph.D., MBA- 4.7
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Approx. 6 hours to complete
In the 2nd part of the course, Professor Odeh will give an overview of 10 mega trends that are making us change the way we think about construction. In this discussion, Professor Odeh will also touch base on several technological and innovative trends that are rising in our construction industry. Trends in the Construction Industry...
Data Processing and Feature Engineering with MATLAB
by Adam Filion , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Heather Gorr , Erin Byrne , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Cris LaPierre- 4.7
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Approx. 18 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. In the last module of the course, you will explore special techniques for handling textual, audio, and image data, which are common in data science and more advanced modeling....
SQL for Data Science
by Sadie St. Lawrence- 4.6
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Approx. 14 hours to complete
This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes....
Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python. 50 years of Data Science, David Donoho (Optional) Describe common Python functionality and features used for data science...
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Fast track to ML, Data Science and Steganography
by Dipnarayan Das- 0.0
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39 mins on-demand video
Standard measures / metrics of ML, Data Science & Steganography This is a brand new Machine Learning, Data Science, and Steganography based course updated with the latest trends and skills! Like every presentation need the final touch, this course will cover your gaps in Data Science, Machine Learning, and also in the newly trending topic Steganography....
$12.99
Text Mining with Machine Learning and Python
by Packt Publishing- 3.8
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2.5 hours on-demand video
Text is one of the most actively researched and widely spread types of data in the Data Science field today. Thomas Dehaene is a Data Scientist at FoodPairing, a Belgium-based Food Technology scale-up that uses advanced concepts in Machine Learning, Natural Language Processing, and AI in general to capture meaning and trends from food-related media....
$11.99
Advanced R Programming
by Roger D. Peng, PhD , Brooke Anderson- 4.3
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Approx. 18 hours to complete
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team....
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