Free Data Science Preparatory Session by Expert

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Attend Free Live Online (Virtual Classroom) Data Science Preparatory classes of 12+ hrs. This session will help you to understand basics of core python and statistics for data science .You can join this session if you are from non programming background and learning python as your first programming language.Please find the details below:

Eligibility :

Working Professionals With 1+ Years Of Work Experience

Freshers(2019 and 2020 Passout B.Tech/M.Tech/MCA/BCA/B.Com)

Duration and Mode:

Total 12+ hours Free Session on Python & Statistics Basics:

Mon to Fri. ( 8:00 Pm to 10:30 Pm ) starting from 30th Mar, 8:00 PM

Registration Link : https://calendly.com/learnbay-ai/free-data-sicence-prep-classes

Click here to download Agenda and Detailed Syllabus : https://drive.google.com/file/d/14kEQUYXMVcgScAyncfHMpLxltw8XN9ez/view

Agenda:

Day 1: Introduction To Data Science and Python (2.5 hrs)

Day 2: Python Basics (2.5 hrs)

Day 3: Loop Control & Python Data Types (2.5 hrs)

Day 4: Data Types contd. and Functions Intro (2.5 hrs)

Day 5: Basic Statistics & Mathematics (2.5 hrs)

Important Note :

This free preparatory session is suitable for data science aspirant from non-programming background and learning python as first programming language. If You already know Programming, Please don't attend these sessions

After attending 12 hrs Data science prep classes, You can apply for scholarship test and avail upto 50% scholarship for our IBM Certified Data Science and AI Program in collaboration With IBM.

About Organiser: Learnbay Offers Data Scientist Master's Program In Collaboration with IBM.200+ Hours Of Instructor led classroom training in Bangalore With Real Time Project And Job Assistance.Learn the Skills which makes you industry ready and Start your career in Data Science Domain.All Our Instructors And Project Mentors are working as data scientist and have Real Time Industry experience.

For more details , Visit https://www.learnbay.co/data-science-couee-prep-session/rse/data-science-fr


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