Statistics: Foundation to Data Science

Important Statistical Concepts in Data Science that everyone should be aware of.

Workshop Details

Sep 17, 2020

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3 - 5 PM

₹ 360

What do you get along?
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Get FREE Access to a detailed python programming course

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Lifetime Access to a community of 5000+Data Scientists

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FREE Access to Industry Webinars of Data Science

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Certificate of Participation, once you attend the workshop

67 students already booked their seats

Who should attend this workshop?

Perfect for Students and IT working professionals who want to build their career as a Data Scientist. Graduates, Post- Graduates, Data Analysts, Business Analysts, Web Analytics Experts, Marketing Analysts, Programmers, Non-Programmers, and CXOs.

WorkShop Benefits for Everyone
  • Students
  • Professional
  • Entrepreneur

Students

can attend this workshop to

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Get their first job at a higher package

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Build their Freelancing Careers with updated Technology

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Grow faster than your Peers

Working Professional

can attend this workshop to

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Break the ceiling and upskill

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Start fresh in Data Science

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Increase your salary with Data Science Expertise

Entrepreneur

can attend this workshop to

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Start a new Business in Data Science

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Know how to solve critical business problems

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Enhance your Problem Solving Skills

What to expect from this workshop?

If you’ve entered the world of Data Science, you might have come across people stating “Maths” and “Statistics” as a prerequisite to data science. Statistics is used to process complex problems in the real world so that data scientists and analysts can look for meaningful trends and changes in data.

This workshop will pave the statistical foundation for our further discussions on data science.

Key Takeaways

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Basic statistics: Mean, Median, Mode, Variance, Standard Deviation, Percentile, IQR, etc.

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Probability Distribution: Binomial Distribution, Poisson Distribution, Normal Distribution, etc.

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Population and Sample: understanding the basic concepts, the concept of sampling

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Confidence Interval and Hypothesis Testing: How to Perform Validation Analysis

Speaker Profile & Outcome of the Workshop

Pritesh is a Data Scientist, prefers calling himself a Data story-teller and Python evangelist. He has decent experience in Data Science industry, where most of his career has been focused towards applying Machine Learning principles to solve business problems.

Been associated with India’s leading eCommerce company and was among the core members
of their analytics team, handling new Product launches and sale events.

Get Started with

Statistics: Foundation to Data Science

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₹360 | $5

Reviews & Testimonials

What Students says?


Earlier I could not understand Python, but I am most passionate about it today with the help of the lecturer.

Kossi Tete

What Students says?


The content & the delivery made it easy for a non-programmer like me to understand the topic pretty well.

Ranu Roy

91% of attendees have made it to Sr. Positions in Top MNCs & Startups.