Hands On Training

Statistical Thinking in Python (Part 1)

Name: Statistical Thinking in Python (Part 1)
Brand: Careervira
Price: 149 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

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Course Features

Duration

3 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

3 hours

Course Description

After all the work that went into getting data and converting it into an accessible format, you want to be able to draw concise and clear conclusions. This is the final step in any data analysis process. This course will teach you how to understand data, build a foundation for statistical thinking and interpret the information it gives you. The foundations of statistical thinking are now easier than ever thanks to computers. By the end of this course, you will be proficient in Python-based tools.

Highlights

Rating & Reviews

Top 30 Percentile

Pedagogy

Top 10 Percentile

Parameters

Pedagogy

Acquire all major Python Programming for Data Science skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Python Programming for Data Science, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs. With a focus on cultivating industry-relevant skills, this course ensures that learners attain a skillset aligned with current industry demands.

Rating & Reviews

This highly acclaimed course is among the top-rated in Python Programming for Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming for Data Science.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Python Data Science Toolbox (Part 2)

What You Will Learn

In this course, you will start building the foundation you need to think statistically, speak the language of your data, and understand what your data is telling you

The foundations of statistical thinking took decades to build, but can be grasped much faster today with the help of computers

Course Content

Expand all sections

Module 1: Graphical Exploratory Data Analysis

Module 2: Quantitative Exploratory Data Analysis

Module 3: Thinking Probabilistically-- Discrete Variables

Module 4: Thinking Probabilistically-- Continuous Variables

Course Instructors

Justin Bois

Lecturer at the California Institute of Technology

Justin Bois is a Teaching Professor in the Division of Biology and Biological Engineering at the California Institute of Technology. He teaches nine different classes there, nearly all of which heavi...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%