Statistics is a crucial part when trying to make sense of data. However, it is important to keep in mind that Data Science is not statistics alone. Various disciplines come together to achieve a common goal. So, statistics alone cannot be considered to be Data Science. Otherwise, Data Science wouldn’t have been a term by itself. Data Science requires a number of other skills such as:
Programming: Python or R
Big Data Hadoop
Machine Learning and AI
Linear Algebra
SQL Database/Coding
Apache Spark
Multivariable Calculus
Data Visualization
Communication
Without a good foundation and knowledge in the above, one cannot call themselves a Data Science expert. Yes, statisticians are one of the experts in the field of Data Science, but there are also other profiles that fall into the domain depending on their specific responsibilities. Apart from the above-mentioned sills, Data Science also requires knowledge of certain aspects of business as well.
A well-rounded training is a must for anyone who wants to pursue Data Science. Intellipaat’s Data Science online course is designed in a holistic approach to help learners learn all aspects of Data Science.
To learn more about Data Science, watch this video.