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
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 Everything You Need to Know About Tuples in Python People conversant with software programming would surely know the concept of lists or arrays wherein they can store multiple objects of similar or dissimilar data types into a congregated data structure; and then
Data science column 8 ways to clean data using Data Cleansing Techniques Data cleaning is one of the most under-rated tasks in the field of data science, machine learning & business analytics as a whole. The key fuel to rich analysis & insights is data;
Careers How to plan your career in 2 months before it's 2020 Is 2020 going to be the year you are going to graduate? Then make sure you welcome the year by landing your dream job too. All it requires is some dedication, focus and
Careers Best Tools for Data Visualization | Data Science Data visualization, more often than not, is touted as the easiest task of data analytics as in this stage, all the data engineering activities such as data cleaning, extraction, transformation, loading, harmonization etc.
Talent Corner Analytics- "The Need of the Hour" Sheeba Rajam heads the Customer Advocacy, Operations and Talent Acquisition at TEG Analytics. She has nearly 15 yrs of work experience across industries like Hospitality, Publication, Education, Oil and Gas, Technology, and the
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
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
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 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
Data science column Most important Python Libraries for Data Science According to the 2019 StackOverflow Developer Survey. Python is the fastest-growing major programming language today second only to Javascript. It has become the most loved and the most wanted language in 2019 and
Talent Corner Importance of skill sets in Analytics Zenefits is a US based company which offers cloud-based software as a service to companies for managing their human resources, with a particular focus on helping them with health insurance coverage. Zenefits helps
Data science column Common Misconceptions in Data Science Data Science is such a diverse field with people from so many backgrounds working in probably all the domains you can think of. As a result of being all over the place, it
Data science column What is Jupyter Notebook? and Why it is the Best Tool for Data Science Data is of no use if you can’t turn it into insights if you can’t analyze it, if you can’t explore or share it. Jupyter, an acronym meaning Julia, Python,
Data science column Role of Big Data in Digital Marketing Digital Marketing is governed by data. The correct use of data can help you develop amazing digital marketing strategies. On the other hand, without any knowledge of using data you can never carry
Talent Corner Understanding the World of Analytics Rajendra Sankhlecha is a seasoned analytics professional in banking and financial services domain and has been with companies like Flipkart, Axis Bank, TransUnion& MuSigma. With years of experience, Rajendra has quite a
