Technovids Consulting

Analytics industry is in currently under massive transformation phase. To keep up with the ever-changing needs of the kind of problems at hand, the toolkit of today’s data scientist must be equipped with cutting edge tools. One such tool, SAS , was once the swiss-knife of a Data Scientist but its inability to transform as per the modern day requirements and prohibitive pricing killed its relevance gradually and gave away its dominance to futuristic tools like Python and R . This brief article highlights some important tools that are looked upon with high reverence in today’s analytics industry. Python:  This language has been the choice of programmers for a very long time and because of its flexibility to adapt to any kind of requirement just kept increasing its importance. Be it web programming, database management, application development, Python had its role in all the fields of Software engineering. And then with the addition of analytical pack...

According to the US Department Statistical Report, the demand for data Science Professionals will grow by 40 percent. DATA is the new oil. All types of companies ranging from small to large size have started investing in Data-driven approach and setting up data Scientist Team for data mining using Artificial Intelligence (AI) Machine Learning and Big Data. Which has increased the high demands in jobs in Data Science and the big data field? According to a report, there are approximately 50,000 Jobs with the skills of  Data Science & Machine learning are unfilled and top of that, there are 40,000 new job openings being added by 2020 in  Indian market alone. The Data Science field has created many jobs at various levels, so it is a good idea & time to start a career in the data Science field. What is Data Science? Data Science can be defined in simple words as Gaining Insights and valuable information out of the data.  In other words, Data science is the ...