Intro to Data Analysis Workflows in Python with Pandas

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Online Courses to Learn Distributions

Explore 218 data science courses and free resources covering everything you need to know about Distributions.

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OverviewRelated TrainingCareer Relevance

Overview

The shape of an underlying data series.

Related Training

218 learning opportunities
Coursera
Rice University
Free
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

21 hours

38,000
Microsoft Excel Correlation Data Modeling Distributions Functions Probability
DataCamp
Multivariate Probability Distributions in R
Surajit Ray

4 hours

$300

5,378
R Programming Correlation Data Analysis Data Modeling Data Sets Distributions
Coursera
University of California, Santa Cruz
Free
Bayesian Statistics: Techniques and Models

30 hours

Intermediate

46,323
R Programming Bayesian Statistics Data Analysis Data Modeling Distributions Monte Carlo Simulations
DataCamp
Foundations of Probability in Python
Alexander A. Ramírez M.

5 hours

$300

4,137
Python Scipy Data Modeling Data Science Distributions Probability Regression
DataCamp
Foundations of Probability in R
David Robinson

4 hours

$300

22,321
R Programming Bayesian Statistics Distributions Probability Statistical Analysis Variables
Dataquest
Hypothesis Testing: Fundamentals
Data Analysis Data Science Data Sets Distributions Significance
Coursera
Stanford University
Free
Introduction to Statistics
Guenther Walther

15 hours

Beginner

78,731
Bayesian Statistics Big Data Confidence Intervals Correlation Data Analysis
Coursera
Imperial College London
Free
Introduction to Statistics & Data Analysis in Public Health
Alex Bottle

16 hours

Beginner

31,246
R Programming RStudio Algorithms Applied Mathematics Confidence Intervals Data Analysis Data Sets
Codecademy
Learn Statistics with NumPy

5 hours

$240
NumPy Python Arrays Data Analysis Data Sets Data Types Data Visualization
Coursera
University of Colorado Boulder
Free
Managing, Describing, and Analyzing Data

17 hours

Beginner

2,180
R Programming RStudio Classification Data Analysis Data Sets Distributions Inference
Coursera
Emory University
Free
Managing Uncertainty in Marketing Analytics
David Schweidel

11 hours

Intermediate

9,593
Microsoft Excel Customer Analytics Data Analytics Data Modeling Distributions Marketing Analytics
DataCamp
Practicing Statistics Interview Questions in R
Zuzanna Chmielewska

4 hours

$300

1,872
R Programming Confidence Intervals Data Analysis Data Modeling Data Sets Distributions
Coursera
Imperial College London
Free
Probabilistic Deep Learning with TensorFlow 2

53 hours

Advanced

8,301
Tensorflow Algorithms Bayesian Statistics Data Modeling Data Sets Deep Learning
Coursera
Stanford University
Free
Probabilistic Graphical Models 1: Representation

67 hours

Advanced

79,331
Algorithms Bayesian Statistics Data Analysis Data Modeling Data Visualization
Coursera
Stanford University
Free
Probabilistic Graphical Models 2: Inference

38 hours

Advanced

21,936
Algorithms Bayesian Statistics Data Analysis Decision Trees Distributions
Free Online Data Science Textbooks
Free
Probabilistic Machine Learning: An Introduction
Kevin Patrick Murphy

Beginner
Cluster Analysis Data Analysis Data Modeling Decision Trees Dimension Reduction
edX
Georgia Institute of Technology
Free
Probability and Statistics III: A Gentle Introduction to Statistics

4 weeks, 8 hours/week

Intermediate
Distributions Probability Statistical Analysis Variables
Free Data Science Cheat Sheets
Codecademy
Free
Probability Cheatsheet
Data Science Distributions Probability
DataCamp
Sampling in Python
James Chapman

4 hours

$300
NumPy Pandas Python Cluster Analysis Confidence Intervals Data Analysis Data Sets Distributions
Coursera
University of Colorado Boulder
Free
Statistical Inference for Estimation in Data Science
Jem Corcoran

26 hours

Intermediate

1,951
Confidence Intervals Data Science Distributions Functions Inference
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Career Relevance

Distributions is most likely to appear on Data Scientist job descriptions where we found it mentioned 5.0 percent of the time.

1. Data Scientist
5.0%
2. Business Analyst
4.9%
3. Data Analyst
4.3%
4. Data Engineer
3.3%
5. Data Architect
0.8%

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