Description
Data Analyst with Python, the data analysis training course in Python is published by Datacamp Academy. Begin 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 essential skills for any aspiring data scientist or practitioner.
You start your data analyst training with interactive exercises and get to know some of the most popular Python libraries including pandas, NumPy, Seaborn and many others. You’ll learn why Python is so popular for data analysis and work with real-world datasets to enhance your data manipulation and exploratory data analysis skills. In these courses, you will learn topics such as data manipulation and data joining. You will also learn key statistical skills such as hypothesis testing. Start today, brush up on your Python skills, and begin your journey to becoming a confident data analyst.
What you will learn
- Familiarity with Python
- Data manipulation with pandas
- Introducing statistics in Python
- An introduction to data visualization with Seaborn
- Exploratory data analysis in Python
- Sampling in Python
- Hypothesis testing in Python
Data Analyst with Python course specifications
- Publisher: Datacamp
- Lecturer: Hugo Bowne-Anderson, Richie Cotton , Maggie Matsui
- English language
- Education level: all levels
- Number of courses: 9
- Training duration: 36 hours and 0 minutes
Chapters of the Data Analyst with Python course
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Installation guide
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English subtitle
Quality: 720p
This skill consists of 9 courses.
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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
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Size
966 MB