The Ultimate Learning Path to Become a Data Scientist and Master Machine Learning in 2019

January 1, 2019

Learning paths are immensely popular among our readers and with good reason! Learning paths take away the pain and confusion from the learning process. For those who don’t know what a learning path is – we take the pain of going through all the resources available on data science, machine learning and Artificial Intelligence, select the best ones, and arrange them in a logical sequence for you to follow. If this sounds like a lot of work – it is. And it is done with the purpose of eliminating that huge amount of work you would otherwise have to do. We understand that when you are starting out in data science, the sheer amount of resources can be overwhelming. And hence we created learning paths. And our learning paths were an instant success with our community.

Spotlight

Quantum Business Intelligence Services AG

Quantum is a data science company providing comprehensive services centered around the analysis and management of business data. Think of it as Management Consulting and IT Development all in one. With small teams of data scientists who master the disciplines of Quantitative Analysis & Modeling, Visualization & Reporting as well as Data Management and Computing Infrastructure we address a broad range of typical challenges, such as Customer Profiling and Segmentation, Marketing Analysis, Predictive Modeling and Forecasting, Performance Management and Survey Optimization. A typical journey starts with improving reports, uncovering key business questions, evolves into the design and set up of an environment for data management, includes bringing business knowledge into the digital world, introduces visualization and storytelling and ends up with the customer practicing data science. Big Data is a natural part of the process.

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Global Data Transfer Mechanisms Infographic

Infographic | August 17, 2021

The way in which organizations can transfer personal data changed significantly following the CJEU’s judgement in the Schrems II case in 2020. This infographic highlights a number of global data transfer mechanisms that organizations can use to transfer personal data including EU adequacy decisions, Binding Corporate Rules, and Standard Contractual Clauses.

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BARC Data, BI & Analytics Trend Monitor 2022

Infographic | June 8, 2022

The BARC Data, BI & Analytics Trend Monitor 2022 is the latest edition of BARC’s annual review of the trends shaping the market. Based on a worldwide survey of 2,396 people from companies of various sizes and industries, this infographic highlights some of the key findings from the study.

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8 BIG DATA ANALYTICS TRENDS TO EXPECT IN 2021

Infographic | February 12, 2021

Organizations collect huge volumes of data and use efficient methods, including digitization by data entry companies, to turn this data into usable information. Big data analytics refers to the use of advanced techniques to analyze data for constructive use. Emerging technologies such as artificial intelligence and machine learning are driving changes in big data analytics. Let’s take a deeper dive into what’s in store for big data analytics in the coming year.

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Data Analytics Infographic Elements Flat Poster vector image

Infographic | March 12, 2020

The best selection of Royalty Free Data Analytics Vector Art, Graphics and Stock Illustrations

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Who Should Opt for Business Intelligence Tools?

Infographic | June 24, 2022

In 2020, 54% of enterprises said that cloud BI is very important. Companies with less than 100 employees were more likely to opt for BI.

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A global study of data workers' activities

Infographic | July 1, 2022

But modern data workers also perform data science and data application development activities, which require additional commercial and open-source software.

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Spotlight

Quantum Business Intelligence Services AG

Quantum is a data science company providing comprehensive services centered around the analysis and management of business data. Think of it as Management Consulting and IT Development all in one. With small teams of data scientists who master the disciplines of Quantitative Analysis & Modeling, Visualization & Reporting as well as Data Management and Computing Infrastructure we address a broad range of typical challenges, such as Customer Profiling and Segmentation, Marketing Analysis, Predictive Modeling and Forecasting, Performance Management and Survey Optimization. A typical journey starts with improving reports, uncovering key business questions, evolves into the design and set up of an environment for data management, includes bringing business knowledge into the digital world, introduces visualization and storytelling and ends up with the customer practicing data science. Big Data is a natural part of the process.

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