Statistics for Data Science

  • A course from scratch providing a thorough grounding in essential statistical concepts
    tailored especially for aspiring data scientist.A blend of theoritica instruction with
    practical application,utilizing real-world data sets for hands-on learning.

Created by Selva Prabhakaran

  • 50 Video Lessons

  • English

  • English captions

Validity Period: 365 days

Already Subscribed? Click here to access your courses

  •  Course Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts

What you will learn

01

Fundamental Principles of
Statistics

02

Data collection and Analysis
Techniques

03

Application of Descriptive and
Inferential Statistics

04

Hypothesis Testing and
Regression Analysis

05

Hands on reproducible
Python codes

06

No prior Knowledge of
Statistics needed

Course Curriculum

3 Modules      |    29 Sessions     |    2 hour 53 min Total Time  

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Introduction to Statistics

Sessions: 2 | Time: 8 min expand_more

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Descriptive Statistics

Sessions: 11| Time: 1 hr 3 min expand_more

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Normal Distribution and More

Sessions: 16 | Time: 1 hr 42 min expand_more

Requirements

  • Courses Page1 Basic Maths and Logical Reasoning
  • Courses Page1 Curiosity about Data Science
  • Courses Page1 Learning Mindset

Who should attend this course?

  • Future Data Scientists and ML Engineers

  • Product Managers, Program Managers, Scrum Masters working in ML/Data science project

  • Software/Data engineers interested in quantitative analysis

  • Software engineers interfacing with data science team

  • Executives who have to lead or interact with Data Scientists

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!
  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

Validity Period: 365 days

Already Subscribed? Click here to access your courses

  •  Workshop Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts