Search result for Data cleaning and manipulation Online Courses & Certifications
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Data Analysis Using Python
by Brandon Krakowsky- 4.5
Approx. 17 hours to complete
Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. Students will gain skills in data aggregation and summarization, as well as basic data visualization. Coding demonstration : Catching data errors and sorting Cleaning data & dealing with missing values...
AI Workflow: Business Priorities and Data Ingestion
by Mark J Grover , Ray Lopez, Ph.D.- 4.3
Approx. 8 hours to complete
Explain where data science and data engineering have the most overlap in the AI workflow Explain the purpose of testing in data ingestion 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 Ingestion and Automation...
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. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively....
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...
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...
Embedded Software and Hardware Architecture
by Alex Fosdick- 4.5
Approx. 4 hours to complete
Embedded Software and Hardware Architecture is a first dive into understanding embedded architectures and writing software to manipulate this hardware. You will gain experience writing low-level firmware to directly interface hardware with highly efficient, readable and portable design practices. Word Size and Data Types Memory Map and Registers Memory Access and Manipulation Introduction...
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
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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....
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...