Search result for Text analysis Online Courses & Certifications
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Foundations of marketing analytics
by Arnaud De Bruyn- 4.6
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Approx. 6 hours to complete
The domain of Marketing Analytics is absolutely huge, and may cover fancy topics such as text mining, social network analysis, sentiment analysis, real-time bidding, online campaign optimization, and so on....
Data Mining Project
by Jiawei Han , ChengXiang Zhai , John C. Hart- 4.6
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Approx. 11 hours to complete
This six-week long Project course of the Data Mining Specialization will allow you to apply the learned algorithms and techniques for data mining from the previous courses in the Specialization, including Pattern Discovery, Clustering, Text Retrieval, Text Mining, and Visualization, to solve interesting real-world data mining challenges....
Excel for Data Analysis: Basic to Expert Level
by Diego Fernandez- 0.0
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7 hours on-demand video
Learn data analysis main concepts from basic to expert level through a practical course with Excel. Implement data scenarios summary forecast using what-if analysis and find value for achieving certain calculation result using goal seek changing cell iteration. Analyze data and estimate optimal parameter using data analysis tools package and solver Microsoft Excel® Add-ins....
$14.99
The Data Analyst Course: Complete Data Analyst Bootcamp 2021
by 365 Careers- 4.5
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20.5 hours on-demand video
You need to be capable to operate with both to produce a complete and consistent analysis independently. Working with text files Exchanging information with text files is practically how we exchange information today. Even when your dataset is clean and in an understandable shape, it isn’t quite ready to be processed for visualizations and analysis just yet....
$18.99
Data Science: Natural Language Processing (NLP) in Python
by Lazy Programmer Inc.- 4.6
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12 hours on-demand video
In this course you will build MULTIPLE practical systems using natural language processing, or NLP - the branch of machine learning and data science that deals with text and speech. Next we'll build a model for sentiment analysis in Python. People have used sentiment analysis on Twitter to predict the stock market....
$19.99
Whole genome sequencing of bacterial genomes - tools and applications
by Lina Cavaco , Pimlapas Leekitcharoenphon- 4.6
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Approx. 7 hours to complete
Explain the concept and be able to use the integrated bacterial analysis pipeline for batch analysis and typing of genomic data Bacterial analysis pipeline- batch upload Text with Link to files to be used in tutorial...
Machine Learning with AWS
by Pranjal Srivastava- 3.3
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3.5 hours on-demand video
Amazon Comprehend for natural Language processing and text analytics Amazon Polly to turn text into lifelike speech using deep learning Amazon Rekognition has a wide range of features like Object and scene detection, Image moderation, Facial analysis, Celebrity recognition, Face comparison, Text in image and much more...
$11.99
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Natural Language Processing
by Anna Potapenko , Alexey Zobnin , Anna Kozlova , Sergey Yudin , Зимовнов Андрей Вадимович- 4.4
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Approx. 32 hours to complete
The project will be based on practical assignments of the course, that will give you hands-on experience with such tasks as text classification, named entities recognition, and duplicates detection. Intro and text classification Text preprocessing Feature extraction from text Linear models for sentiment analysis Classical text mining Simple neural networks for text...
Excel Fundamentals for Data Analysis
by Nicky Bull , Dr Prashan S. M. Karunaratne- 4.8
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Approx. 15 hours to complete
In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Excel for data analysis. Welcome to Excel Fundamentals for Data Analysis Cleaning and manipulating text Excel functions for combining text values Functions that split text data Combining text functions Removing and replacing text characters...
Data Structures and Performance
by Christine Alvarado , Mia Minnes , Leo Porter- 4.8
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Approx. 42 hours to complete
You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage. Efficiency Analysis and Benchmarking Core: Our Motivation for Asymptotic Analysis Core: Markov Text Generation Core: Implementing Markov Text Generation Optional Project: Markov Text Generation Walk Through...
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