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Python Workshop

The Python Workshop is to perfect yourself in Python. Python is in huge demand by the top technocrat companies. As a booster dose to your programming skill, ACLM since 2016, organised more than 100+ workshops in various colleges / universities and corporate institutions to make awareness into Data Analytics and Data Science through python.

Python workshopWe also urge colleges / universities / corporate institutions to schedule FREE awareness workshop with ACLM to set the right career track to the students & employees can be boosted with additional knowledge, which may help in various project handling simultaneously.

These 05 Days of workshop will set your career path in Data Analytics / Data Science. You’ll be given chance to work on real projects along with lot of assignments and training materials. The workshop will be for 04 hours per day (Saturday / Sunday Only) and will cost you 2,500/- only.

A prior registration for the workshop will be mandatory to make the program successful and in more organized manner.

Interesting modules under Python workshop, which we’re going to take care are:

  • Python Core
  • Python Advanced
  • Exception Handling, Looping constrcts
  • Data Interpretation with SQL
  • File Handling and Application usages
  • Class, Objects and Data Structure in python
  • pycharm, Numpy
  • Python Pandas
  • Python SQL
  • Python Predefined Structured Algorithms
  • Assignments & Projects
  • Assessments & Certifications

Clear your doubts about python and join the program. Register at 7289989188. or call at info@aclm.in

Note: This course is also available in offline mode under ACLM’s branches located at Vaishali, Noida & Laxmi Nagar (Delhi). Charges may be differ. Anyone looking for one-to-one session, may kindly contact respective branches as per the feasibility. ACLM will consider the joining of the participant as per availability of the seat for the requested batch. For more information you may kindly contact at 7289989188. You may also register online.




Admission Form

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Schedule

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