What You Learn?

Data science is one of the best career option in 2020 as the need for data science professionals is very high. A beginner in data science earns around 4.5 Lakhs per annum while the pay for experienced people depends on the number of years and the projects one has worked. You can earn more than ₹8 lakhs with around 4-5 years of experience. One can easily take ₹12 Lakhs per annum after 7 to 8 years of experience in data science. Not only the pay is high in this field, even the job satisfaction is great in the field of data science and data analytics. The present decade will also witness an exponential rise in the number of data science jobs. Hence, data science courses are one of the best courses to learn in 2020.

You will learn the following topics in our data science course in Bangalore.

• • Introduction to Data Science

  A brief introduction to data science that covers all the fundamentals of the subject to give you a better understanding of the field.

• • Statistics

  Statistics is an important topic that forms the basis for data classification, data analysis and data interpretation.

• • Python Training

  Python is a powerful programming language that is used to code the programmes.

• • Machine Learning

  Machine learning is an important concept in data science, artificial intelligence etc.

• • Data Analysis

  An important part of data science data analysis forms the core of data science. It processes the data for easier interpretation.

• • Data Visualisation

  Data visualisation helps the data to be changed into an easily interpretable format.

• • Natural Language Processing

  Natural Language Processing is an integral part of machine learning and it helps to develop heuristic programming.

• • Predictive Analytics

  Predictive Analytics helps to provide better predict and forecast on the basis of historical data.

• • R Programming Language

  R Programming language is a powerful language and tool in data analysis.

• • Tableau

  Tableau is an all-purpose tool that is used in data analysis and data interpretation.