Search result for Exploratory data analysis example Online Courses & Certifications
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Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
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Approx. 27 hours to complete
This course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. The importance of validation data to prevent overfitting...
Practical Machine Learning by Example in Python
by Madhu Siddalingaiah- 0.0
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8 hours on-demand video
Each example is independent and follows a consistent structure, so you can work through examples in any order. How to analyze and visualize data How to prepare data for training and testing Manipulate multidimensional data using NumPy Load and transform structured data using Pandas...
$12.99
Web Scraping Course: Scrape Websites Without Coding
by Rishabh Dev- 4.9
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2 hours on-demand video
ANYONE can scrape web data Scraping for database creation or app creation - The purpose is to get similar data from different websites and then post all that data into one. Social listening - Collecting data from different social media websites, what's trending and what's in. Usually, this data is put into an analytics tool....
$11.99
Time Series Analysis and Forecasting using Python
by Start-Tech Academy- 4.1
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13 hours on-demand video
Learn about time series analysis & forecasting models in Python |Time Data Visualization|AR|MA|ARIMA|Regression| ANN Downloadable Code files containing data and solutions used in each lecture In this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important....
$12.99
Lean Six Sigma Black Belt Course
by Nilakantasrinivasan Janakiraman- 4.5
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15.5 hours on-demand video
Kappa Scores Computation for ordinal data and criteria for acceptance of gage Example & Application of Central Limit Theorm Depicting 1 or 2 variables (with example and procedure) Regression – Logistic(Logit) & Prediction - Components & interpretations with example Process Capability of Non-normal data - Weibull, Binomial, Poisson Process Capability and interpretation of results...
$14.99
Master Excel Functions in Office 365 - Excel Dynamic Arrays
by Leila Gharani- 4.7
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7 hours on-demand video
Data analysis in Excel for Microsoft 365 has become simpler than ever. ★★★★★ "I highly recommend this well-organized course for anyone whose work/projects involve data analysis. The knowledge I've gained on the new dynamic array functions will raise the level of my analysis while making my work easier at the same time....
$14.99
Master in Microsoft Power BI Desktop and Service
by Learnsector LLP- 4.5
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7.5 hours on-demand video
As we progress through this course, you’ll learn to unleash the capabilities of Power BI to perform a comprehensive analysis of data from multiple sources and present the data using the perfect visualization. You will also level-up your data analysis skills using DAX and create calculated columns and measures....
$14.99
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Practical Predictive Analytics: Models and Methods
by Bill Howe- 4.1
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Approx. 7 hours to complete
Statistical experiment design and analytics are at the heart of data science. Big Data and Spurious Correlations Spurious Correlations: Stock Price Example How is Big Data Different? Support Vector Machine Example...
Advanced System Security Topics
by Edward Chow , Greg Williams- 4.5
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Approx. 15 hours to complete
We show how to exhance the data security with GeoEncryption, Secure Enhanced Geolocking, and R2D2 concepts which deliver data to right places via right path. Ensure Data Delivery to Right Location Right Path Right Place Data Delivery Read R2D2 paper on BLE location verification and SDN Data Path Confidence Analysis Enforce Testbed as an ABAC Example...
Mathematics for Machine Learning: PCA
by Marc Peter Deisenroth- 4
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Approx. 18 hours to complete
This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces....
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