Introduction to Data Science

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 the same thing as data mining and big data: “use the most strong hardware, the most efficient algorithms and the most powerful programming systems, to find solutions”.

CAREER OPTIONS AFTER DATA SCIENCE

Business Intelligence (BI) Developer

BI developers design and develop strategies to assist business users in quickly finding the information they need to make better business decisions. Extremely data-savvy, they use BI tools or develop custom BI analytic applications to facilitate the end-users’ understanding of their systems.

Data Architect

Ensure data solutions are built for performance and design analytics applications for multiple platforms.

Applications Architect

Track the behavior of applications used within a business and how they interact with each other and with users.

Infrastructure Architect

Oversee that all business systems are working at optimally and can support the development of new technologies and system requirements. A similar job title is Cloud Infrastructure Architect, which oversees a company’s cloud computing strategy.

Enterprise Architect

According to Whataftercollege, an enterprise architect, “Works closely with stakeholders, including management and subject matter experts (SME), to develop a view of an organization’s strategy, information, processes and IT assets.”

FUTURE OF DATA SCIENCE

Data Science is a buzzword in the technology world right now and for good reason, it represents a major step forward in how computers can learn. The need for Data Scientists are high in demand and this surge is due to evolving technology and generation of huge amounts of data aka Big Data.

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Database administration (DBA)

WHY OR WHY NOT DATA SCIENCE?

What Does a Data Scientist Do?

Most data scientists in the industry have advanced and training in statistics, math, and computer science. Their experience is a vast horizon that also extends to data visualization, data mining, and information management.

  • Data scientists are trained to identify data that stands out in some way. They create statistical, network, path, and big data methodologies for predictive fraud propensity models and use those to create alerts that help ensure timely responses when unusual data is recognized.
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Benefits of Data Science.

  • Empowering Management and Officers to Make Better Decisions
    An experienced data scientist is likely to be a trusted adviser and strategic partner to the organization’s upper management by ensuring that the staff maximizes their analytics capabilities.

  • Directing Actions Based on Trends—which in Turn Help to Define Goals
    A data scientist examines and explores the organization’s data, after which they recommend and prescribe certain actions that will help improve the institution’s performance.

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Disadvantages of Data Science

  • Data Science is Blurry Term
    Data Science is a very general term and does not have a definite definition. While it has become a buzzword, it is very hard to write down the exact meaning of a Data Scientist.

  • Mastering Data Science is near to impossible
    Being a mixture of many fields, Data Science stems from Statistics, Computer Science and Mathematics. It is far from possible to master each field and be equivalently expert in all of them.

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TRAINING OFFERED BY WAC

 

2 Days WAC Workshop

Data Science

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WAC Virtual Training

Data Science

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SALARY AFTER DATA SCIENCE COURSES

By 2020, the amount of data generated by every human being every second will be 1.7 megabytes. With this, you can imagine the growth of data, and that is where a Data Scientist comes to the rescue by analyzing and organizing this data to provide business solutions. In this article, we will discuss the global Data Scientist salary and know why ‘Data Scientist’ is the sexiest job title of the 21st century. In fact, a data scientist can expect an average salary of Rs 693,637 (IND) or $91,470 (US) per year.

Role of Data Science in Business

Many popular companies are using Data Science for easing their regular processes. We will explore a use case of Walmart to see how it is utilizing data to optimize its supply chain and make better decisions. We will also learn the core implementations of Data Science in businesses.

TOP COURSES, INSTITUTE & UNIVERSITY DATA SCIENCE

Top Data science university in India

Top 7 Data Science University/ colleges in India

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Top Training Institutes Data science

Top 7 Training
Institutes of
Data Science

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Top 7 Data science Online Program

 Top 7 Online
Data Science
Training Programs

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Top Companies getting placed after Data science

Top 7 Companies to Get Placed After Learning Data Science

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