Careers That You Can Have With Data Science

Career options with Data Science

The demand for Data science courses in Kolkata has grown exponentially in past few years. And why not? Today, data is everything. And the world needs someone who can organize this colossal data and provide solutions for businesses. Given the amount of data created every day, it is a lot likely that there will be […]

Visualization and Histograms with ggplot2 in R

blog 84

R language allows to do charts, plots and visualizations in multiple ways as part of a data science or AI project. Basic functions are available in R for plotting. There are also specific charting libraries like ggplot2, plotly etc. that can be used to make beautiful and improved charts and visualizations. In this blog let […]

Handling Dates In Analytics Projects

blog 83

In a real data science or AI project, date is an important part. Whether it is sales of a product every month or profit that a company makes over last quarters or stock price movement of a company on a daily basis, the date is important while capturing the data, storing it as well as […]

Pareto Principle In Analytics Dashboard

Pareto chart

The Pareto Principle is commonly used in any exploratory data analysis, report or dashboard. Pareto principle is named after Italian civil engineer, economist, and sociologist Vilfredo Pareto. Vilfredo Pareto observed that about 80% of Italy’s land is owned by 20% of the population.   The Pareto chart, a powerful data visualization tool for dashboards, combines […]

Automated Decision Making Through Machine Learning

blog 80

Machine Learning is a discipline that enables computers to act like humans and automates decision making and predictions based on previously learned patterns. We discuss two applications of machine learning here – image identification and ecommerce purchase. Image identification by humans and machines For human brain identifying an image of a cat from a set […]

Data Science is the Future

blog 79

In today’s modern age we see more and more companies and organizations embracing and truly unlocking the power of Data Science. Most businesses would benefit from structuring their data and the application of Data Science can be used in many fields. In the future, we will have even more powerful applications and will have streamlined […]

How Is Machine Learning Different From Data Science?

blog 78

There are many misconceptions regarding Machine Learning and Data Science and if they are the same or are completely different worlds. What is Data Science? Data Science is defined as an interdisciplinary field that not only extracts knowledge but also extracts actionable insights from the given data. Data Scientists must be able to build models […]

10 Data Science Books You Should Follow

10 data science books

Data science is undoubtedly one of the hottest career choices right now and in this blog we will look at the 10 data science books that you useful to learn the subject. Companies (many of whom have data science departments) are hiring data scientists around the board. As data volume is exploding, it is a […]

How to get into Data Science in 9 Months

blog 75

Do you want to become a data scientist? Is that because of the hype around this field lately? A lot of companies have realized the importance of data science in their business and are hiring professionals with job titles like Data Scientist, Data Analyst, Data Engineer, AI Engineer and Machine Learning Engineer. Is it because these are some of the […]

ANOVA Step By Step Procedure

blog 74

Let us look at the steps to follow to perform Analysis of Variance(ANOVA). This would be very clear and easy to follow. ANOVA is used to analyze the difference in the means of different groups (for 3 or more groups). The procedure is made up of just three basic stages. Let’s take some time to […]

How To Introduce Machine Learning To Your Business

blog 72

Artificial intelligence systems usually learn by example and are likely to learn better with high-quality examples. Low quality or insufficient training data can lead to unreliable systems that make poor decisions, reach the wrong conclusions, introduce or perpetuate bias and cannot handle real-world variation among other issues. Besides, poor data is costly. According to IBM, […]

Top 11 Interview question on Data Science for freshers

blog 71

If you are looking for a data scientist position now start practicing these 11 Data Science Interview questions and answers. 1. Python or R – Which one would you prefer for text analytics? Ans: best possible answer for this would be Python because it has a Pandas library that provides easy to use data structures and high-performance data […]