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GroupĐào tạo từ 2 người trở lên?Hãy thử DataCamp for Business

Comparison of BI and Analytics Platforms

In this tutorial, you will learn about different factors that are taken into consideration before choosing your Analytics Platform both at the organization and individual level.
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Time Series Analysis using R: Tutorial

Learn Time Series Analysis with R along with using a package in R for forecasting to fit the real-time series to match the optimal model.

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How to Use Python Decorators (With Function and Class-Based Examples)

Learn Python decorators with hands-on examples. Understand closures, function and class-based decorators, and how to write reusable, elegant code.
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Managing PostgreSQL Databases in Python with psycopg2

Discover how to create, connect to and manage PostgreSQL databases using Python’s psycopg2 package.
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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.
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Diving Deep with Imbalanced Data

Learn the techniques to deal with an imbalanced dataset.
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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.
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Factor Levels in R

This tutorial takes course material from DataCamp's free Intro to R course and allows you to practice Factors.
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Creating a List in R

Practice Lists in R by using course material from DataCamp's Intro to R course.
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Joining DataFrames in pandas: merge(), concat() & join()

Learn how to join and merge DataFrames in pandas using concat(), merge(), and join() with practical examples.
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