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Data Science

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Course type: Online Instructor led Course

Platform: Skype

Course ID: 43907

Course type: Online Instructor led Course

Platform: Skype

Students Interested 0 (Seats Left 0)

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About the Course

Machine Learning is a bunch of mathematical techniques to solve data related modelling problems. In R or Python or some other tool whatever, the math is one and same. So please put more focus on understanding the concepts.

This course suites for graduates/experienced professionals. The main objective is to learn the Data Science concepts and the important point to remember is that how you deal with data from visualisation and mining to pre-processing followed by modelling to deployment. At each level, there are many tools which help you achieve an objective.

We are a team Data Scientists with rich experience ranges from 3 years to 12 years; we would love to train and mentor the data science aspirants. We do facilitate the online lab environment along with data sets, and there are 10Ă¢??s of capstone projects.

Internships can be offered to best trainees, and the job opportunities can be shown to top interns. A lot work to do in our product development, there are possibilities to engage The best trainees.

Learning Outcomes

Business Analysis Competency:

  • Understands the customerĂ¢??s business objectives

  • Understands existing business processes

  • Evaluation the feasibility of solving a business problem

Data Science Competency:

  • Data Analysis

    • Analyze and visualize the data

    • Selecting of most effective techniques to process the data

    • Communicate to customers the techniques and limitations

    • Defining the business & technical success criteria

    • Access feasibility in relation to chosen techniques

    • Selection of modelling techniques and/or invention of new algorithms to solve problems and build new tools to automate work

  • Data Modelling & Predictive Analysis

    • Perform exploratory analysis on sample data

    • Select modelling techniques

    • Build & Assess prototype models, revise models and evaluate the results

    • Selection of final technique

    • Defining deployment strategy

    • Results Analysis & Data visualization

    • Storytelling to the business user

Date and Time

Not decided yet.

About the Trainer

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0 Students

2 Courses


B.E, PG diploma in Big Data Analytics

Rich experience in Data Science filed. Very strong in Machine Learning, Text Mining, Deep Learning, IoT Analytics along with Big Data Stack.


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