Data Science Training in Bangalore

Data has to be examined and used in appropriate manner to make profit for any company with respect to business. In addition, for that a thorough study should be done here comes Data Science Training in Bangalore into picture. FITA offers Data science course to students with placement guidance.

Why FITA?

FITA is well known for its trust and skillful faculties amidst the students. It is hard to do research on data and make them used in the business. However, this can be your piece of cake once you enroll into our Data Science Training in Bangalore program.

Our trainers are good teachers and market expertise as well which will definitely be useful for you to set a career. We help our students to fly high with their dreams with the accurate data as expected by the market. Timing won’t be a matter of issue as we schedule the classes as per the comfort of students.

Course description

There are only a handful of individuals available out there, who are capable of digging deep into any data and fetch the accurate information. It is very difficult to catch sight of a company, which does not need any data to earn its popularity.Data Science Training in Bangalore is taking up the market on a whole as data is something, which is not confined to one single field it is omni-present. Thus, data specialist are treasured in many leading companies. The positions, which you will be able to have access, are:

  • Business analyst
  • Research scientist
  • Data analyst
  • Director of analytics
  • Senior data analyst
  • Business intelligence
  • Analytics manager

 Curriculum

  • Various Analytics Tools
  • Predictive Modelling
  • Manipulating Data
  • Working With R & RStudio
  • Importing Data
  • Conditional Statements
  • Fundamentals Of R
  • Statistical Concepts
  • Functions
  • Advance Topics In R
  • Data Visualization In R Using GGPlot
  • Data Visualization Using Plotly
  • Misc. Functions
  • Data Science With R

 FAQs

What do you infer from Selection Bias?

Selection bias is introduced by the selection of individuals, groups or data for ensuring that the sample obtained is not representative of the population intended to be analyzed. It is also known as the selection effect.

The various types of selection bias:

  • Sampling bias
  • Time interval
  • Data
  • Attrition

Define feature vectors.

A feature vector represents some object, is an n-dimensional vector of numerical features. In machine learning, these are used to represent numeric or symbolic characteristics.

What do you mean by root cause analysis?

It was developed in order to analyze the industrial accidents but now widely used in other areas. It is used as a problem-solving technique for isolating the root causes of faults or problems. A factor is called a root cause if its deduction from the problem-fault-sequence averts the final undesirable event from reoccurring.

 

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