Search result for Data cleaning and analysis Online Courses & Certifications
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Advanced Manufacturing Process Analysis
by Rahul Rai- 4.6
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Approx. 13 hours to complete
Through this course, students will learn why performing advanced analysis of manufacturing processes is integral for diagnosing and correcting operational flaws in order to improve yields and reduce costs. The Data Analysis Process Resources: Data Analysis: Value and Process Resources: Manufacturing Settings and Data Collection Resources: Data Storage and Organization Data Analysis: Computational Techniques and Platforms...
Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
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3 months
This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day. Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms in TensorFlow and scikit-learn....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day. Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms in PyTorch and scikit-learn....
Getting and Cleaning Data
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.6
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Approx. 20 hours to complete
The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. Apply data cleaning basics to make data "tidy" Obtain usable data from the web, APIs, and databases...
Intro to Data Analysis
by Caroline Buckey- 0.0
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Timeline Approx. 6 Weeks
lesson 2 NumPy and Pandas for 1D Data Start learning to use NumPy and Pandas to make the data analysis process easier. Group your data and to combine data from multiple files. lesson 4 Investigate a Dataset Use NumPy and Pandas to go through the data analysis process on one of a list of recommended datasets....
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Data Analysis Using Python
by Brandon Krakowsky- 4.5
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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. Coding demonstration : Catching data errors and sorting Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib...
Structuring Machine Learning Projects
by Andrew NgTop Instructor , Younes Bensouda MourriTop Instructor , Kian KatanforooshTop Instructor- 4.8
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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...
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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
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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...
Capstone: Retrieving, Processing, and Visualizing Data with Python
by Charles Russell Severance- 4.7
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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....
Fundamentals of Data Science with Python
by Packt Publishing- 3.8
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2.5 hours on-demand video
Implement powerful data science techniques with Python using NumPy, SciPy, Matplotlib, and scikit-learn Then, you will use Python to mine data from its source and analyze available data via statistical and probability analysis techniques by using NumPy and pandas. Nicolas Rangeon is a freelance data scientist. Cleaning the Data for Use...
$12.99
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