Search result for Data collection and cleaning Online Courses & Certifications
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Data Science Project: MATLAB for the Real World
by Michael Reardon , Brandon Armstrong , Erin Byrne , Adam Filion , Heather Gorr , Maria Gavilan-Alfonso , Matt Rich , Isaac Bruss- 4.8
Approx. 13 hours to complete
Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. Import and Explore the Data Data and Code Files Tasks for Exploring and Cleaning the Taxi Data...
Fundamentals of Data Science with Python
by Packt Publishing- 3.8
2.5 hours on-demand video
Implement powerful data science techniques with Python using NumPy, SciPy, Matplotlib, and scikit-learn This course will teach you the fundamentals of data science using Python and its growing collection of libraries that focus on particular elements of data science. Nicolas Rangeon is a freelance data scientist. Cleaning the Data for Use...
$12.99
PL-100, DA-100 Practice Exams
by Test Prep Expert- 0.0
As a subject matter expert, Data Analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. The Data Analyst should have a fundamental understanding of data repositories and data processing both on-premises and in the cloud....
$12.99
Data Analysis with R Programming
by Google Career CertificatesTop Instructor- 4.8
Approx. 37 hours to complete
You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Programming and data analytics Hands-On Activity: Importing and working with data Hands-On Activity: Cleaning data in R Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors...
Prepare Data for Exploration
by Google Career CertificatesTop Instructor- 4.8
Approx. 22 hours to complete
- Explore how analysts use spreadsheets and SQL with databases and data sets. - Examine open data and the relationship between and importance of data ethics and data privacy. - Learn the best practices for organizing data and keeping it secure. Explain factors to consider when making decisions about data collection Discuss the difference between biased and unbiased data...
Intro to Trifacta: Clean Your Data Quickly and Easily
by Data Crunch Corporation- 4.4
2.5 hours on-demand video
Learn a free tool that will reduce your data cleaning and data preparation time Data cleaning isn't always clearcut, and this is why we'll show you what it looks like to iterate changes on your dataset as new information presents itself during the data preparation/data munging process. Forrester research identifies data preparation tools as “must haves....
$10.99
Capstone: Retrieving, Processing, and Visualizing Data with Python
by Charles Russell Severance- 4.7
Approx. 9 hours to complete
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find....
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Data Collection and Processing with Python
by Paul Resnick , Jaclyn Cohen- 4.7
Approx. 16 hours to complete
This course teaches you to fetch and process data from services on the Internet. If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two. Introduction: Nested Data and Nested Iteration...
Data for Machine Learning
by Anna Koop- 4.4
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. Understand the critical elements of data in the learning, training and operation phases Understand biases and sources of data Data Acquisition and Understanding Features and transformations of raw data Data Acquisition and Understanding Review...
Structuring Machine Learning Projects
by Andrew NgTop Instructor , Younes Bensouda MourriTop Instructor , Kian KatanforooshTop Instructor- 4.8
Approx. 6 hours to complete
In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. Satisficing and Optimizing Metric Size of the Dev and Test Sets Cleaning Up Incorrectly Labeled Data Bias and Variance with Mismatched Data Distributions...