Tutorials

python
+3

Using PostgreSQL in Python

In this tutorial, you will be learning about the database in Python, with a few examples in PostgreSQL Database.
8
8
data manipulation
+1

Latent Semantic Analysis using Python

In this tutorial, you will learn how to discover the hidden topics from given documents using Latent Semantic Analysis in python.
8
8
r programming
+1

Bootstrap in R

In this tutorial, you will learn how to use the boot package to obtain different types of bootstrapped confidence intervals.
9
9
r programming

Subsetting Datasets in R

Subsetting datasets is a crucial skill for any data professional. Learn and practice subsetting data in this quick interactive tutorial!
8
8
must read
data analysis
+2

Contingency Analysis using R

In this tutorial, you'll learn with the help of an example how "Contingency Analysis" or "Chi-square test of independence" works and also how efficiently we can perform it using R.
must read
data analysis
+2
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29
data manipulation
+2

Diving Deep with Imbalanced Data

Learn the techniques to deal with an imbalanced dataset.
10
10
must read
data analysis
+1

Social Network Analysis in Python

Networks today are part of our everyday life. Let's learn how to visualize and understand a social network in Python using Networks.
must read
data analysis
+1
19
19
importing & cleaning data
+1

Using Regular Expressions to Clean Strings

This tutorial takes course material from DataCamp's Cleaning Data in Python course and allows you to clean strings using regular expressions.
importing & cleaning data
+1
5
5
must read
python
+2

Demystifying Crucial Statistics in Python

Learn about the basic statistics required for Data Science and Machine Learning in Python.
34
34
r programming
+3

Factor Levels in R

This tutorial takes course material from DataCamp's free Intro to R course and allows you to practice Factors.
9
9
r programming
+3

Creating a List in R

Practice Lists in R by using course material from DataCamp's Intro to R course.
6
6
business
+1

Introduction to Customer Segmentation in Python

In this tutorial, you're going to learn how to implement customer segmentation using RFM(Recency, Frequency, Monetary) analysis from scratch in Python.
18
18
must read
r programming
+1

For Loops in R

Practice For Loops in R by using course material from DataCamp's Intermediate R for Finance course.
must read
r programming
+1
10
10
python

Beginner's Guide to Feature Selection in Python

Learn about the basics of feature selection and how to implement and investigate various feature selection techniques in Python.
15
15
data visualization
+3

Data Visualisation with Tableau

In this tutorial, you will learn how to analyze and display data using Tableau and make better, more data-driven decisions.
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32