Learning Plan 2017 for beginners in data science

Through this plan, we aim to remove the confusion in learning data science for beginners. The biggest challenge which beginners face while learning data science is not dearth of learning material – but too much of it. As a beginner, you are not sure where to start learning, what to practice, how much time to spend on a concept, where to get the useful resources etc. For most of the beginners, this becomes overwhelming and they simply drop out before even learning a single skill.

Spotlight

Afiniti.com

Afiniti is the world’s leading applied artificial intelligence and advanced analytics provider, which transforms the way humans interacts by pairing individuals on the basis of behavior. Afiniti operates at the cutting edge of telephony sales optimization; serving key FTSE 100 and Fortune 100 multinational clients. To date, Afiniti has delivered over $4 billion in revenue for its clients. At the heart of Afiniti’s proposition is its unique ability to measurably increase contact center revenue by 4-6%. Afiniti delivers this lift using its patented “Artificial Intelligence” technology to identify psychographic and demographic pairings between customers and agents which are more optimal than the random “longest waiting agent / longest waiting caller” strategy, traditionally deployed in contact centers.

Other Infographics
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The People and Tech Behind Data Science

Infographic | January 12, 2020

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data.

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Importance of Data Encryption

Infographic | March 30, 2022

Reasons Why Encrypting Data is Crucial Encryption is the last line of defense Encryption Can Increase Consumer Trust Encryption Can Help to Protect Remote Workers

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Top Trends in Data Protection

Infographic | June 14, 2022

In late 2021, an independent research firm surveyed over 3,000 IT decision makers and IT professionals about their IT and data protection drivers and strategies heading into 2022.

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Importance of Big Data Analytics in Businesses

Infographic | February 4, 2022

Big Data Analytics is important in business as it helps organizations harness their data and use it to identify new opportunities. Global big data and business analytics market size will reach Leveraging a big data analytics solution helps organizations unlock their strategic values and take full advantage of their assets. Big data initiatives were rated as “extremely important” by 93% of companies $684.12 billion by 2030.

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How Big Data is Revolutionizing Healthcare

Infographic | May 2, 2023

The healthcare industry is currently experiencing a significant transformation, as Big Data continues to be leveraged in unprecedented ways. The availability of vast quantities of electronic health records, medical claims, and other health-related data has allowed healthcare providers to harness the power of Big Data in order to drive innovation and improve patient outcomes.

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Data analytics infographic vector image

Infographic | March 12, 2020

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.

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Spotlight

Afiniti.com

Afiniti is the world’s leading applied artificial intelligence and advanced analytics provider, which transforms the way humans interacts by pairing individuals on the basis of behavior. Afiniti operates at the cutting edge of telephony sales optimization; serving key FTSE 100 and Fortune 100 multinational clients. To date, Afiniti has delivered over $4 billion in revenue for its clients. At the heart of Afiniti’s proposition is its unique ability to measurably increase contact center revenue by 4-6%. Afiniti delivers this lift using its patented “Artificial Intelligence” technology to identify psychographic and demographic pairings between customers and agents which are more optimal than the random “longest waiting agent / longest waiting caller” strategy, traditionally deployed in contact centers.

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