Datacamp – Associate Data Scientist in Python 2024-8

Datacamp – Associate Data Scientist in Python 2024-8 Downloadly IRSpace

Apr 18, 2025 - 09:09 Updated: Aug 17, 2025 - 16:16

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Datacamp – Associate Data Scientist in Python 2024-8

Associate Data Scientist in Python, Learn Python for data science and gain the career-building skills you need to succeed as a data scientist, from data manipulation to machine learning! In this track, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Starting with the Python essentials for data science, you’ll work through interactive exercises that test your abilities. You’ll get hands-on with some of the most popular Python libraries for data science, including pandas, Seaborn, Matplotlib, scikit-learn, and many more. As you progress, you’ll work with real-world datasets to learn the statistical and machine learning techniques you need to perform hypothesis testing and build predictive models. You’ll also get an introduction to supervised learning with scikit-learn and apply your skills to various projects. Start this track, grow your data science skills, and begin your journey to confidently pass the Associate Data Scientist in Python certification and thrive as a data scientist.

What you’ll learn

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Learn to combine data from multiple tables by joining data together using pandas.
Learn how to create, customize, and share data visualizations using Matplotlib.

Specificatoin of Associate Data Scientist in Python

Publisher : Datacamp
Teacher : Hugo Bowne-Anderson
Language : English
Level : All Levels
Number of Course : 23
Duration : 90 hours (To complete the course with exercise,..)

Content of Associate Data Scientist in Python

Cleaning Data in Python
Data Communication Concepts
Data Manipulation with pandas
Experimental Design in Python
Exploratory Data Analysis in Python
Hypothesis Testing in Python
Intermediate Python
Introduction to Data Visualization with Matplotlib
Introduction to Data Visualization with Seaborn
Introduction to Functions in Python
Introduction to Importing Data in Python
Introduction to Python
Introduction to Regression with statsmodels in Python
Introduction to Statistics in Python
Joining Data with pandas
Machine Learning with Tree-Based Models in Python
Python Toolbox
Sampling in Python
Supervised Learning with scikit-learn
Unsupervised Learning in Python
Working with Categorical Data in Python
Working with Dates and Times in Python
Writing Functions in Python