Data science column Pathway to being a Data Scientist IntroductionWhat is data science? It is making sense of the truckloads of data available locally and globally, today. Businesses want to make intelligent use of this data that is available. The data science
Skill Enhancement How to make the most out of online training programs Online training programs are convenient, hassle-free and on-demand. The technology has made education so flexible that you can learn whatever you want from wherever you want, whenever you want. But, are you deriving
Data science column What is VLOOKUP in Excel - 10 Things You Need to Know VLOOKUP is one of the most frequently used functions in Microsoft Excel; and is predominantly used to retrieve data from other data sources corresponding to a particular key column in another data set.
Data science column The Top 5 Clustering Algorithms Data Scientists Should Know Clustering is a technique by which similar objects or entities are grouped into a single cluster in such as way that the variance of objects internal to a single group is minimal; and
Data science column Self-Introduction for Data Scientist interview As a candidate who goes for an interview you must know that the most common question ever asked is the ‘tell me about yourself’ one. It’s a quick way for the interviewer
Resume column 15 killer summary of qualification for your Resume A summary of qualifications can help the recruiter understand what your skills are and where your expertise lies. A summary highlights your career information, education and other work interests. It isn’t only
Data science column Skills that every ML, AI engineer must have Before coming to the skillsets required to become a successful ML/AI engineer & derive a prospering career in this field; it is first important to understand the key requirements & nitty-gritties involved
Data science column How to make a data science portfolio? Given the massive growth & positive sentiments revolving around data analytics & science; there are lots of prospective candidates who seek to build a successful career in the field of data science. Hence,
Data science column Why statistics is so important in data science? The onset and generation of huge volumes of data being collected day in and day out has made it almost impossible for businesses to perform a qualitative analysis of performance & happenings. Now
Data science column Data Science projects for beginners Data Science, or for that matter concept or technology in the space of Analytics, is best learnt via projects and practical implementation rather than going in depth in theories & frameworks. While it
Recommended Why Are Online Training Programs Better Than Offline Training? Knowledge sharing has transformed with the advent of technology now. Online learning or e-learning as it’s more commonly known, has rapidly grown in popularity due to the convenience factor. Short duration, not
Coach Corner #SeptemberSpotlight: In conversation with coach Kunal Naik This week on #SeptemberSpotlight, We asked coach Kunaal 10 questions about his career, work and success. Currently, coach Kunaal is a Marketing Operation Advisor at Dell EMC with an immense passion for Data
Data science column How to make a data science portfolio? Given the massive growth & positive sentiments revolving around data analytics & science; there are lots of prospective candidates who seek to build a successful career in the field of data science. Hence,
Data science column Why statistics is so important in data science? The onset and generation of huge volumes of data being collected day in and day out has made it almost impossible for businesses to perform a qualitative analysis of performance & happenings. Now
Interview column Top 6 Accenture interview questions and answer for engineering roles Engineering is over and you’re ready to embark on an exciting journey of your career. Yes, it’s time-consuming -- creating that perfect resume, preparing for the interview and the follow-ups. Moreover,
Data science column Big Data Technology Stack used by top companies Many users from the developer community as well as other proponents of Big Data are of the view that Big Data technology stack is congruent to the Hadoop technology stack (as Hadoop as
Data science column Impact of big data in decision making Big Data & its implications on business has often been compared to an iceberg which has more than 90% of the mass submerged under water (and only 10% visible). Hence, designing information &
Data science column The important area of machine learning using Python - Supervised Learning Supervised & unsupervised learning systems are two major categories of teaching a machine learning system to take self-governed decisions. Now, before dwelling deep into the nitty-gritty of supervised learning; it is important to
Data science column Why is Python popular in Machine Language? There are a multitude of languages and programming frameworks which supports or enables machine language applications; however, Python is considered to be the forerunner in machine language both from a utility perspective as
Data science column Application of Big Data in Decision Making Data driven decision making is one of the most trending optics of interest & focus in business organizations; and multi-national corporates are investing big-time in devising their information infrastructure so as to store
Data science column Difference between Artificial Intelligence & Machine Learning Artificial Intelligence & Machine Learning, at times, are used interchangeably by users & developers. Although there is a fair amount of correlation between the two; still the terms & its concepts are not
Careers Best career options after graduation Graduation is a crucial moment in every student’s life. It is a junction wherein difficult life and career choices are to be made. Some students have it easy and already know what
Data science column Deep Learning - Dive into the World of Machine Learning! Deep Learning is a finer and sophisticated branch of machine learning which is largely based on artificial neural networks. Also known as hierarchical learning, deep learning algorithms are closest to the way human
Full Stack Development Column Integrating Node APIs with React React (also known as ReactJS) is pretty much similar in functionality & features to AngularJS; which is used to design front end applications. The JavaScript library, and the bunch of predefined APIs and
Full Stack Development Column Integrating Node APIs with Angular Angular is an open-source application development framework which is used to design and implement both mobile as well as desktop application. The framework is built using TypeScript. There are many users who tend
