Datacamp – Data Scientist Professional with Python 2023-8

Datacamp – Data Scientist Professional with Python 2023-8 Downloadly IRSpace

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Apr 17, 2025 - 12:25 Updated: Apr 21, 2025 - 04:39
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Datacamp – Data Scientist Professional with Python 2023-8
Datacamp – Data Scientist Professional with Python 2023-8

Data Scientist Professional with Python, Master the skills you need to pass the Data Scientist Professional with Python certification and prepare yourself for success in the field of data science. Throughout this track, you will focus on using Python for data science, starting with the basics and progressing to more advanced topics such as machine learning. You’ll cover a broad range of areas, including data manipulation, visualization, and analysis, using popular Python libraries such as pandas, Seaborn, Matplotlib, and scikit-learn.

As you progress, you’ll work through interactive exercises using real-world datasets to help you test your abilities and develop your skills. These examples will help you explore various statistical and machine learning techniques, including hypothesis testing and predictive modeling. You’ll also gain an understanding of package development, data preprocessing, SQL for relational databases, Git for data science projects, and more. Complete this track to gain the knowledge and experience necessary to confidently pass the Data Scientist Professional with Python certification and thrive as a data scientist.

What you’ll learn

  • Introduction to Python
  • Data Manipulation with pandas
  • Introduction to Statistics in Python
  • Introduction to Data Visualization with Matplotlib
  • Introduction to Data Visualization with Seaborn
  • Python Data Science Toolbox
  • Intermediate Data Visualization with Seaborn
  • Exploratory Data Analysis in Python
  • Working with Categorical Data in Python
  • Data Communication Concepts
  • Introduction to Importing Data in Python
  • Cleaning Data in Python
  • Working with Dates and Times in Python
  • Writing Functions in Python
  • Introduction to Regression with statsmodels in Python
  • Sampling in Python
  • Hypothesis Testing in Python
  • Unsupervised Learning in Python
  • Machine Learning with Tree-Based Models in Python
  • Preprocessing for Machine Learning in Python
  • Developing Python Packages
  • Machine Learning for Business
  • Introduction to SQL
  • Joining Data in SQL
  • Introduction to Git

Specificatoin of Data Scientist Professional with Python

  • Publisher : Datacamp
  • Teacher : Hugo Bowne-Anderson , Richie Cotton
  • Language : English
  • Level : All Levels
  • Number of Course : 31
  • Duration : 116 hours and 0 minutes

Content of Data Scientist Professional with Python

Data Scientist Professional with Python

Pictures

Data Scientist Professional with Python

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Introduction to Python

Download – 150 MB

Intermediate Python
 
Download – 218 MB

Data Manipulation with pandas
 
 
Joining Data with pandas
 
 
Introduction to Statistics in Python
 
Download – 91 MB

Introduction to Data Visualization with Matplotlib

Download – 157 MB

Introduction to Data Visualization with Seaborn

 
Python Data Science Toolbox (Part 1)
 
Download – 88 MB

Python Data Science Toolbox (Part 2)
 
 
Intermediate Data Visualization with Seaborn
 
Download – 54 MB

Exploratory Data Analysis in Python
 
 
Working with Categorical Data in Python
 
 
Data Communication Concepts
 
 
Introduction to Importing Data in Python
 
 
Cleaning Data in Python
 
 
Working with Dates and Times in Python
 
 
Writing Functions in Python
 
 
Introduction to Regression with statsmodels in Python
 
 
Sampling in Python
 
 
Hypothesis Testing in Python
 
 
Supervised Learning with scikit-learn
 
 
Unsupervised Learning in Python
 
 
Machine Learning with Tree-Based Models in Python
 
 
Intermediate Importing Data in Python
 
 
Preprocessing for Machine Learning in Python
 
 
Developing Python Packages
 
 
Machine Learning for Business
 
 
Introduction to SQL
 
 
Intermediate SQL
 
 
Joining Data in SQL
 
 
Introduction to Git
 

File size

2.7 GB

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