Data scientists are the experts who have learnt skills to solve the complex problems in an organization. Their main task is to use Data-Driven Techniques for the growth of the company as well as the employees.

Data Science plays an important role in Analysing the Best resources, time, transport, etc. for cost-efficient work. With Data Science, Airlines are also benefitted as they can predict the delays in flight and thus notify their passengers for convenient travel. So, it is a widely used course and profession in today's world. If you have done the basic course in Data Science engineering, you can choose the professional course for expertise. By choosing the professional course, the job opportunities will also increase and you will have a better and successful career in Data Science engineering.

Why choose Careerera for the course of Data Science Engineering Professional?

  • The learning Methodology is Designed in such a way, that the course focuses on the all-around approach so that you could get all the professional skills of Data Science engineering for the overall development of the aspirant.

  • The classes are designed in such a way that the aspirants can avail them as per their suitable timings. The classes are offered in the mode of automatic recording which is shared with the aspirants after completing the class (if required).

  • The modules of the course are designed in such a way that the professionals can learn the practical as well as theoretical knowledge about the course.

  • With each query of the aspirant, the knowledge and understanding of the course are improved, so that they should not have any doubt.

Eligibility of Data Science Engineering Professional:

Since It is a professional course, the prerequisites include the Basic knowledge of Programming Language Python.Careerera will Train you in Data science and Engineering From Scratch

Highlights of the course

  • The total time-span of the training is 120 hours.

  • With the registration of the course, the Aspirant will be provided with the E-kit comprising of E-books, sample papers, mock tests, etc.

  • If the candidate opts for the training program of the Live virtual classroom, they will be provided with free E-learning module.

  • Daily  Assistance  Along with an Exam counsel.

  • For Easy Revision of the concepts explained in the live virtual class is also available on the recording of the sessions. It can be easily accessed at any time for learning and revising.


  • Sl. No.
  • Chapter
  • Chapter - 1
  • Introduction to programming in Python
  • Chapter - 2
  • Introduction to SQL programming
  • Chapter - 3
  • Exploratory Data Analysis,Data Cleaning,Data Manipulation
  • Chapter - 4
  • Statistical Methods Of Decision Making
  • Chapter - 5
  • Machine Learning-Supervised Learning:Regression
  • Chapter - 6
  • Machine Learning:Supervised Learning:classification
  • Chapter - 7
  • Unsupervised Learning:Clustering
  • Chapter - 8
  • Unsupervised Learning:PCA
  • Chapter - 9
  • Ensmble Techniques:Bagging,Boosting
  • Chapter - 10
  • Data Visulization
  • Chapter - 11
  • Data Science Applications


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DSEP (Data Science Engineering Professionals) , this Course and batch also available in other locations View