Datacamp – Data Analyst with Python 2023-8

Data Analyst with Python, Start your journey to becoming a data analyst using Python – one of the most popular programming languages in the world. No prior coding experience is required; you’ll start from scratch and learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. You’ll begin your data analyst training with interactive exercises and get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more. You’ll learn why Python for data analysis is so popular and work with real-world datasets to grow your data manipulation and exploratory data analysis skills.  As you progress through the courses, you’ll cover topics such as data manipulation and joining data. You’ll also learn key statistics skills, like hypothesis testing.  Get started today, grow your Python skills, and begin your journey to becoming a confident data analyst.

What you’ll learn

• Introduction to Python
• Intermediate Python
• Data Manipulation with pandas
• Joining Data with pandas
• Introduction to Statistics in Python
• Introduction to Data Visualization with Seaborn
• Exploratory Data Analysis in Python
• Sampling in Python
• Hypothesis Testing in Python

Specificatoin of Data Analyst with Python

• Publisher : Datacamp
• Teacher : Hugo Bowne-Anderson , Richie Cotton , Maggie Matsui
• Language : English
• Level : All Levels
• Number of Course : 9
• Duration : 36 hours and 0 minutes

Content of Data Analyst with Python

Pictures

Sample Clip

Installation Guide

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Subtitle : English

Quality: 720p

This Skill is consist of 9 courses

Download Links

Introduction to Python
Download – 150 MB

Intermediate Python
Download – 218 MB

Data Manipulation with pandas
Download – 84 MB

Joining Data with pandas

Download – 88 MB

Introduction to Statistics in Python
Download – 91 MB

Introduction to Data Visualization with Seaborn
Download – 69 MB

Exploratory Data Analysis in Python
Download – 94 MB

Sampling in Python
Download – 83 MB

Hypothesis Testing in Python
Download – 86 MB

File size

966 MB