What are the topics covered in Data Science?
The topics covered in Data Science depending upon the level of the course i.e. whether students are enrolling for a basic course or a more advanced course. Basic courses generally introduce the student to concepts of statistics and probability, and then proceed towards preliminary hypothesis testing procedure such as t-test, z-test, ANOVA, F-test, etc and finally advances to cause-effect modelling such as regression, factor analysis, logistic analysis, etc.
Advanced courses, on the other hand, starts with regression analysis and then progresses to more complicated algorithms such as random forest, decision trees, Bayesian principles, collaborative filtering and so on.
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What is after Data Science?
The career roadway after Data Science depends largely on the interests of the individual. Post becoming an expert in the field of Data Science if the individual yearns to seek a career in management & business strategy; then he may shift roles and ...
What is a data science pipeline?
Data Science pipeline depends on the particular business or industry as well wherein data science projects are operated. While in some cases, the entire set of steps starting data collection comes under the purview of the data science pipeline; in ...
Would it be better to first learn Data Analysis or Data Science.
Data analysis (or a data analyst) and Data Science (or a data scientist) are two different facets of analytics with different objectives, roles & responsibilities. Hence, it is important for the student to first understand the key requirement of each ...
Which is better in terms of salary and long term growth in data science and machine learning.
Data science is a more generic stream of study which encompasses data analysis, machine learning, data visualization, statistical modeling, data engineering, business intelligence, etc. Therefore, from the perspective of opportunities, data science ...
Is data science better than business analytics?
There’s not much of a difference between data scientist & business analysts in terms of the acquired skillsets & acumen; however, the application of the acquired skills differs. Data scientists deep dive into the technical side of things focusing on ...