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Planning To Learn Data Science? Important Topics Which You Need To Know

The rising prominence of Data Science is a fact which shouldn’t be ignored. Owing to the abundance in the usage of data as a part of our day-to-day life Data Science is going to persist for a long period of time. The need for Data Science is felt by industries across every major sector & over the years Data Science is expected to evolve further.

Advanced analytics technologies like Machine Learning & Artificial Intelligence have gain significant traction amongst researchers and engineers. Nowadays, companies are very keen towards hiring the best talent in Data Science, AI & ML. There’s no doubt that Data Scientists would continue to ride the crest of an incredible wave of innovation and technological progress over the coming years.

Important Skills For Data Science-

As a part of their job role, Data Scientist needs to make extensive use of their skills in coding, statistics, and critical thinking. Now, let’s have a look at the most important topics which you need to know before learning Data Science

Python & R

Python and R are among the most popular programming languages for Data Science. Being open source in nature & having the presence of excessive libraries makes them ideal programming languages for Data science. Both Data Scientists & Data Analysts make the most out of these programming languages.

If you are willing to learn Machine Learning then, knowledge of Python and R is an important prerequisite.


Statistics plays a very crucial role in Data Science. Data Scientists make use of Statistics for gathering, reviewing, analyzing and drawing accurate conclusions from data. Mean, Regression Analysis, Skewness, Kurtosis, Variance, & Analysis Of Variance are some of the important concepts of Statistics in Data Science.

Apart from these, descriptive statistics and inferential statistics are also very crucial in the Data Science process.

Artificial Intelligence (AI)

AI infuses intelligence into machines. Artificial Intelligence makes use of Computer Apparition & Language Dispensation to impart machines of software with the skills to understand human text and speech so that they can respond to them naturally.

Machine Learning

Machine Learning is a subset of Artificial Intelligence, which is developed on the idea that machines can learn and adapt to experience. You would be amazed to know that Data Mining, Data Engineering, Data Science makes use of statistical learning algorithms (Machine Learning) so as to accurately extract insights from the data.

Deep Learning

Deep Learning is advanced concept of AI & ML technologies. It makes use of a hierarchical level of artificial neural networks to perform the process of Machine Learning.

Become well proficient in all the major technologies that are involved in Data Science by getting enrolled for the Kelly Technologies advanced analytics based learning program of Data Science Training In Hyderabad.

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