Search result for Data science project Online Courses & Certifications
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Data Science Tools
by Romeo Kienzler , Svetlana Levitan , Maureen McElaney- 0.0
7 Weeks
Learn about the most popular data science tools, including how to use them and what their features are. In this course, you'll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. This hands-on course will get you up and running with some of the latest and greatest data science tools....
$99
Data-driven Decision Making
by Alex Mannella- 4.6
Approx. 9 hours to complete
In this course, you'll get an introduction to Data Analytics and its role in business decisions. What is Data Analytics? Solving business problems using data analytics Making business-defining decisions using data analytics Why do you need a data and analytics framework? The 4 aspects of the data and analytics framework Data and analytics framework: tools and techniques...
Genomic Data Science with Galaxy
by James Taylor, PhD- 3.6
Approx. 7 hours to complete
This is the second course in the Genomic Big Data Science Specialization. Working with sequence data Sequence Data Quality Control...
Oracle SQL for Data Science
by Jiang Zhou- 0.0
4.5 hours on-demand video
Oracle SQL skills and best practices for data science/data analytics tasks. Jay Zhou, an industrial practitioner and and competition winner, will share his Oracle SQL skills and best practices to perform typical data science/data analytics tasks. Hopefully, after taking the course you will become a better data scientist/data analyst....
$12.99
Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
Approx. 17 hours to complete
This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. Applied Data Science Specialization...
Statistics for Data Science with Python
by Murtaza Haider , Aije Egwaikhide- 4.6
Approx. 12 hours to complete
At the end of the course, you will complete a project to apply various concepts in the course to a Data Science problem involving a real-life inspired scenario and demonstrate an understanding of the foundational statistical thinking and reasoning. ✔Identify appropriate hypothesis tests to use for common data sets. Python Packages for Data Science Project Case: Boston Housing Data...
Data Science: Productivity Tools
by Rafael Irizarry- 0.0
8 Weeks
A typical data analysis project may involve several parts, each including several data files and different scripts with code. Part of our Professional Certificate Program in Data Science, this course explains how to use Unix/Linux as a tool for managing files and directories on your computer and how to keep the file system organized....
$99
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Learning Path: Julia: Explore Data Science with Julia
by Packt Publishing- 4.1
5.5 hours on-demand video
Use the advanced features of Julia to work with complex data Moreover, how does this data help an organization’s future? You will then be introduced to the basic machine learning techniques, data science models, and concepts of parallel computing. He is part of the Julia project, where he develops data science models and contributes to the codebase....
$11.99
Spark Machine Learning Project (House Sale Price Prediction)
by Bigdata Engineer- 4.1
1 hour on-demand video
Spark Machine Learning Project (House Sale Price Prediction) for beginner using Databricks Notebook (Unofficial) Spark Machine Learning Project (House Sale Price Prediction) for beginners using Databricks Notebook (Unofficial) (Community edition Server) In this Data science Machine Learning project, we will predict the sales prices in the Housing data set using LinearRegression one of the predictive models....
$12.99
Data Manipulation at Scale: Systems and Algorithms
by Bill Howe- 4.3
Approx. 20 hours to complete
The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields....