SANS SEC 555 SIEM with Tactical Analytics 2017

SANS SEC 555 SIEM with Tactical Analytics 2017
English | Size: 380.09 MB
Category: CBTs

Today, security operations do not suffer from a "Big Data" problem but rather a "Data Analysis" problem. Let’s face it, there are multiple ways to store and process large amounts of data without any real emphasis on gaining insight into the information collected. Added to that is the daunting idea of an infinite list of systems from which one could collect logs and it is easy to get lost in the perils of data saturation. This class is the switch from the typical churn and burn log systems to achieving actionable intelligence and developing a tactical Security Operations Center (SOC). [Read more…]

SEC555 – SIEM with Tactical Analytics [PDF]

SEC555 – SIEM with Tactical Analytics [PDF]
English | Size: 380.09 MB
Category: Security

Many organizations have logging capabilities but lack the people and processes to analyze it. In addition, logging systems collect vast amounts of data from a variety of data sources which require an understanding of the sources for proper analysis. This class is designed to provide individuals training, methods, and processes for enhancing existing logging solutions. This class will also provide the understanding of the when, what, and why behind the logs. This is a lab heavy course that utilizes SOF-ELK, a SANS sponsored free SIEM solution, to train hands on experience and provide the mindset for large scale data analysis.
[Read more…]

Udemy – Google Analytics Mastery

Udemy – Google Analytics Mastery
English | Size: 3.39 GB
Category: Business

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Sky rocket marketing results through the power of data analysis and Google Analytics!
Now You Can Learn The Secrets of the World’s Most Successful Online Marketers!
If you can’t measure it, you can’t manage it! ~ Peter Drucker
Track, measure, and improve that which is working in your business, and the bottlenecks minimizing success. Understanding where to look, what to look for, and what to do with what you see will change everything you do in your business… [Read more…]

Business Analytics Foundations Predictive, Prescriptive, and Experimental Analytics Kumaran

Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics | Kumaran
English | Size: 78.33 MB
Category: Tutorial

Business analytics encompasses a set of tools, technologies, processes, and best practices that are required to derive knowledge from data. It’s an iterative and methodical exploration of data to derive insights from it-and, in turn, make smarter, more strategic decisions that are grounded in facts. In this course, learn about the stages in business analytics that are used to predict and build the future-predictive analytics, prescriptive analytics, and experimental analytics. This course dives into each stage, discussing the tools and techniques used for each, as well as best practices leveraged in the field. In addition, the course lends a real-world context to these concepts by using a use case to demonstrate how to execute analytics in each stage.
[Read more…]

SANS – SEC555 Siem with Tactical Analytics

SANS – SEC555 Siem with Tactical Analytics
English | Size: 380.09 MB
Category: Tutorial

Many organizations have logging capabilities but lack the people and processes to analyze it. In addition, logging systems collect vast amounts of data from a variety of data sources which require an understanding of the sources for proper analysis. This class is designed to provide individuals training, methods, and processes for enhancing existing logging solutions. This class will also provide the understanding of the when, what, and why behind the logs. This is a lab heavy course that utilizes SOF-ELK, a SANS sponsored free SIEM solution, to train hands on experience and provide the mindset for large scale data analysis. [Read more…]

Pricing Analytics for Corporate Finance Essential Training Michael McDonald LYNDA

Pricing Analytics for Corporate Finance Essential Training | Michael McDonald | LYNDA
English | Size: 195.64 MB
Category: Tutorial

Discover how to make smarter product pricing decisions that-over time-can maximize your organization’s profits. In this course, instructor Michael McDonald goes over using scenario analysis, price discrimination, and variance analysis to optimize pricing for any business. Michael explains how to determine profit maximizing price in a scenario, estimate price elasticity, compute price discrimination profits with one variable or many variables, and more. If you’d like to pursue a career in corporate finance-particularly as a pricing analyst in an insurance, retail, manufacturing, or technology firm-then this course can help equip you with the skills you need to help your company succeed in today’s economy. [Read more…]

LYNDA LEARNING DATA ANALYTICS EXPANDED EDITION TUTORIAL

LYNDA LEARNING DATA ANALYTICS EXPANDED EDITION TUTORIAL
English | Size: 306.63 MB
Category: CBTs

Every person who works with data has to perform analytics at some point. This popular training course?dramatically expanded and enhanced for 2018?teaches analysts and
non-analysts alike the basics of data analytics and reporting. Robin Hunt defines what data analytics is and what data analysts do. She then shows how to identify your
data set?including the data you don’t have?and interpret and summarize data. She also shows how to perform specialized tasks such as creating workflow diagrams cleaning data, and joining data sets for reporting Coverage continues with best practices for data analytics projects, such as verifying data and conducting effective meetings, and common mistakes to avoid. [Read more…]

Data Science & Analytics Career Paths & Certifications – First Steps

Data Science & Analytics Career Paths & Certifications – First Steps
English | Size: 194.58 MB
Category: CBTs

The career opportunities in data science, big data, and data analytics are growing dramatically. If you’re interested in changing career paths, determining the right course of study, or deciding if certification is worth your time, this course is for you.eeJungwoo Ryoo is a professor of information science and technology at Penn State. Here he reviews the history of data science and its subfields, explores the marketplaces for these fields, and reveals the five main skills areas: data mining, machine learning, natural language processing (NLP), statistics, and visualization. This leads to a discussion of the five biggest career opportunities, the six leading industry-recognized certifications available, and the most exciting emerging technologies. Along the way, Jungwoo discusses the importance of ethics and professional development, and provides pointers to online resources for learning more. [Read more…]

Lynda – The Essential Elements of Predictive Analytics and Data Mining

Lynda – The Essential Elements of Predictive Analytics and Data Mining
English | Size: 394.35 MB
Category: CBTs

A proper predictive analytics and data-mining project can involve many people and many weeks. There are also many potential errors to avoid. A "big picture" perspective is necessary to keep the project on track. This course provides that perspective through the lens of a veteran practitioner who has completed dozens of real-world projects. Keith McCormick is an independent data miner and author who specializes in predictive models and segmentation analysis, including classification trees, cluster analysis, and association rules. Here he shares his knowledge with you. Walk through each step of a typical project, from defining the problem and gathering the data and resources, to putting the solution into practice. Keith also provides an overview of CRISP-DM (the de facto data-mining methodology) and the nine laws of data mining, which will keep you focused on strategy and business value. [Read more…]

Packt Publishing – Learning Path Big Data Analytics

Packt Publishing – Learning Path Big Data Analytics
English | Size: 1.51 GB
Category: CBTs

Understanding Big Data Using Hadoop and Spark
Massive amounts of data are being generated everyday, everywhere. As a result, a number of organizations are focusing on big data processing. In this course we’ll help you understand how Hadoop, as an ecosystem, helps us store, process, and analyze data. We will then smoothly move to developing large-scale distributed data processing applications using Apache Spark 2. [Read more…]