Understand the application of Lean Six Sigma concepts in healthcare through relevant case studies and examples.

The Lean Six Sigma Black Belt training is the most exclusive certification for the Lean Six Sigma quality management methodology. This Six Sigma Black Belt certification course is the final stage of the Masters program that will position you as an expert in implementing Lean, Design for Six Sigma (DFSS), Six Sigma Define, Measure, Analyze, Improve and Control (DMAIC) and Total Productive Maintenance (TPM). Join this exclusive worldwide group of 4000 certified Lean Six Sigma Black Belts today.

The need to effortlessly and securely collect,analyze and store data at a massive scale is paramount today. Simplilearn's Amazon S3 course gets you started with the concepts and benefits of S3 and trains you to effectively utilize it to store and retrieve billions of objects and exabytes of data.

The course is the final to becoming a Google data engineer by mastering Google BigQuery. You’ll learn to store, transform, analyze, and visualize data using Google BigQuery & gain an in-depth understanding of BigQuery architecture, data types & schema. This course also includes practical exercises to be executed on Google cloud platform.

Our Advanced SEO training is designed to offer a complete 360-degree learning on all the concepts, tools, and techniques of Search Engine Optimization. Master the process of organically driving traffic to your website/webpage by learning key modules such as keyword research, on-page and off-page optimization, link building, URL building, and SEO analytics. So, Enroll for Simplilearn’s Advanced SEO course and become a full-fledged SEO specialist.

The functional programming nature and the availability of a REPL environment make Scala particularly well suited for a distributed computing framework like Spark. Using these two technologies in tandem can allow you to effectively analyze and explore data in an interactive environment with extremely fast feedback. This course will teach you how to best combine Spark and Scala, making it perfect for aspiring data analysts and Big Data engineers. Access 51 lectures & 8.5 hours of content 24/7 Use Spark for a variety of analytics & machine learning tasks Understand functional programming constructs in Scala Implement complex algorithms like PageRank & Music Recommendations Work w/ a variety of datasets from airline delays to Twitter, web graphs, & Product Ratings Use the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming, & GraphX Write code in Scala REPL environments & build Scala applications w/ an IDE

Learn how to use ElasticSearch in combination with the rest of the Elastic Stack to ship, parse, store, and analyze logs! You'll start by getting an understanding of what ElasticSearch is, what it's used for, and why it's important before being introduced to the new features of Elastic Search 5.0. Access 35 lectures & 3 hours of content 24/7 Go through each of the fundamental concepts of ElasticSearch such as queries, indices, & aggregation Add more power to your searches using filters, ranges, & more See how ElasticSearch can be used w/ other components like LogStash, Kibana, & Beats Build, test, & run your first LogStash pipeline to analyze Apache web logs

Tech professional often find they're faced with limitations when using Excel to analyze data. In this course, you'll learn how to optimize MATLAB to overcome these limitations. You'll focus on how to supplement the capabilities of Excel by having access to thousands of customized mathematical and advanced analysis functions, flexible visualization tools, and the ability to automate your analysis workflows - all available in MATLAB. Access 25 lectures & 2 hours of content 24/7 Access & import data from Excel files Customize the visualization of data Learn statistical models that fit w/ data Generate reports for sharing w/ others

Learn from history, or be condemned to repeat it. That goes double in the world of tech! Why did GroupOn, Yahoo, and MySpace stumble while AirBnB, Google, and Facebook thrived? This course seeks to answer questions like this, studying the past two decades to summarize some key trends of the tech industry. It rounds off with some specific ideas on how an individual or a company may deal with these trends. Access 20 lectures & 3.5 hours of content 24/7 Explore trends from 1994-2003, 2003-2008, 2005 to today, 2008-2012, 2012 to today, & 2008 to today Analyze today's biggest trends: Big Data, cloud computing, & machine learning Learn from the mistakes of tech history

Many products are developed based on a hunch, a judgement call, and incomplete information. Needless to say, most of them fail miserably. Startup founders and business owners then ask themselves why. This course takes a different, risk-mitigating, more scientific approach to the art of starting a business. You’ll learn how to develop a product people really need by uncovering these needs well in advance. Before you write one line of code, before you hire a large team, before you take a big risk. You’ll learn the ins and outs of learning if people need your product by implementing three activities to learn from your future customers - Experience Sampling, Field Observation, and Interviewing. After making sense of it all, you’ll be able to kick-start your business with confidence in your knowledge and wisdom.