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Data Science & Analytics Career Paths & Certifications – First Steps

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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

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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

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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…]

Big Data Analytics with Apache Spark and Python

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Big Data Analytics with Apache Spark and Python
English | Size: 1.90 GB (2,035,367,476 bytes)
Category: Tutorial


Learn to use Apache Spark to store and analyze data in real time.

“Apache Spark is the hottest Big Data technology today. Its adoption is growing fast and so is the demand for professionals trained in it”.

Apache Spark is the most active Apache project, and it is pushing back Map Reduce. It is fast, general purpose and supports multiple programming languages, data sources and management systems. More and more organizations are adapting Apache Spark to build big data solutions through batch, interactive and stream processing paradigms. The demand for trained professionals in Spark is going through the roof. Being a new technology, there aren’t enough training sources to provide easy guidance on building end-to-end solutions.
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Udemy – Big Data Analytics with Apache Spark and Python [47 MP4]

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Udemy – Big Data Analytics with Apache Spark and Python [47 MP4]
English | Size: 1.90 GB (2,035,367,476 bytes )
Category: Tutorial


Learn to use Apache Spark to store and analyze data in real time.

“Apache Spark is the hottest Big Data technology today. Its adoption is growing fast and so is the demand for professionals trained in it”.

Apache Spark is the most active Apache project, and it is pushing back Map Reduce. It is fast, general purpose and supports multiple programming languages, data sources and management systems. More and more organizations are adapting Apache Spark to build big data solutions through batch, interactive and stream processing paradigms. The demand for trained professionals in Spark is going through the roof. Being a new technology, there aren’t enough training sources to provide easy guidance on building end-to-end solutions. [Read more…]

The Institute of Order Flow Analytics

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The Institute of Order Flow Analytics
English | Size: 1.41 GB (1,516,337,213 bytes)
Category: Tutorial


Discover What Makes the Market Tick
A retail trader’s greatest obstacle in a liquid market is the speed at which direction can change when large blocks of orders come into the market. The order flow is the real-time record of trade volume that defines short-term directional control. All market movement is subject to the relationship between the supply of the market depth and the demand of orders being executed at each price level. By classifying and analyzing the exchange of real-lime volume flowing into the market, a trader can instantly identify quantif able patterns of support and resistance and capitalize on market reversals without the lag of indicator-based technical analysis. In short, for successful trade execution all you need is to Know the Flow.
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TTC Big Data- How Data Analytics Is Transforming the World-

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TTC Big Data: How Data Analytics Is Transforming the World
English | Size: 11.28 GB
Category: Video Tutorials


Data is everywhere, shedding light on all aspects of life. Retailers know what’s selling and who’s buying. Pollsters test opinions on everything from candidates to consumer goods. Doctors follow their patients’ vital signs. Social networks register the interactions of millions. Sensors measure the changing weather. And as athletes play, fans collect exhaustive statistics on their performance.
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