What is Data Science ?

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results.

Data Science includes

1. Data Analytics using Excel

2. Analytics using SQL

3. Introduction to programming using Python

4. Python for Data Science

5. Exploratory Data Analysis

6. Exploratory Data Analysis using Tableau

7. Story Telling using Tableau

What you can gain by learning data science ?

The various benefits of Data Science are as follows:

  • Data Science is greatly in demand.
  • Abundance of positions.
  • A highly paid career.
  • It is versatile.
  • It helps in making the data better.
  • Data Scientists are highly prestigious.
  • No more boring tasks.
  • Data Science makes products smarter.

FAQs

What is the job of a data scientist?

The job of a data scientist can be anything related to maths or statistics. The daily work of a data scientist includes defining business problems or opportunities, manipulating data to solve problems, data modeling and testing to provide business solutions, and coding, with which the selected solution is executed. When coding, data scientists use different languages ​​for data science and analysis, Eg: Python, SAS, R, SQL etc.

Does data science have a future ?

There is already increasing automation in data science, and it is certainly not going to slow down. You can already program a machine based on multiple parameters to find the best possible business solution to a problem. In the past statisticians had to manually design their predictive models and readjust them over and over again. Growing amounts of data and ever more complex business problems make this very difficult without applying the concepts of data science. In this context, data science is here to stay for a very long time.

How do I become Data Scientist?

These Data Science courses, co-developed with IBM, will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. This Data Science training will teach you R, Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and an overview of the Hadoop ecosystem.

Can I pursue Data Science course after my graduation?

Yes, this Data Science course is suitable for recent graduates and experienced professionals willing to start a career in data science. There are no specific eligibility requirements to take this Data Science training.

Is Data Science easy to learn?

Data science is a vast field; people cannot gain expertise within six months or a year. Learning data science requires specialized technical skills and knowledge of programming basics and analytics tools to get started. However, this Data Science course explains all the relevant concepts from scratch, making it easy to use your new skills.

Is Data Science a good career option?

Companies are embracing digital transformation, and the growing dependency on data makes a career in data science quite promising. Businesses are accelerating their digital initiatives, and data science skills will remain in high demand soon. Moreover, with the existing skills gap, companies are even ready to pay higher salaries to data scientists.