Advanced Diploma in
Data Science with Python

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Course Overview

The course will prepare you for the Data Science jobs in the industry with interview-ready analytics portfolio to showcase your skills to the recruiters. This program covers the basic concepts like Statistics, Data visualization, Python programming to the highly intermediate skills like Machine Learning, Data Engineering with SQL. So by this end of the course you will be ready to apply for Data Science jobs.

Starting Date

13th February 2022

Duration

4 Months (Weekends)

Online Live Interactive Sessions + 2 Campus immersion Sessions

Course Fee

Rs.50,000 + GST

Early Bird offer

Rs.40,000 + GST ,if paid before 19th December 2021

Last date to apply : 10th February 2022

Who is this programme for?

  • Project Managers
  • Software Developers and ETL Professionals
  • Analytics Professionals
  • Big Data Professionals
  • Those who wish to have a career in Data Science

Why you should Join?

  • Learn Data Science from the basics. No prior analytics experience is needed
  • Complete Bootcamp style hands-on sessions, so it’s a practical learning
  • You will master the analytics concepts required to ace the job interview
  • You will build your resume with portfolio of analytics projects
  • Dedicated mentoring session from faculty of industry experts.

Learning Outcomes

  • You get a complete hands-on learning with analytics tools and techniques
  • Clear understanding of data visualization, Data manipulation and Data Engineering
  • An in-depth understanding of supervised and Unsupervised Machine Learning models
  • Master analytics with practical datasets in a complete hands-on approach

Eligibility

The applicant should have a Bachelor's degree in Science/Engineering/Business Administration/Commerce/Mathematics/Computer Applications or a Master’s degree in Mathematics/Statistics/Commerce with 50% or equivalent passing marks.

Meet Our Faculty

LIBA Full Time Faculty

Course Faculty

Course Certificate Model

Contact Us

Have any queries? Get in touch today.

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