Data Science Methods and Algorithms [2024]

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Data Science Methods and Algorithms [2024]
Data Science Methods and Algorithms 2024

Learn Data Science Methods and Algorithms with Pandas and Python [2024]

Product Brand: Udemy

Editor's Rating:
5

Udemy Coupon Code for Data Science Methods and Algorithms [2024] Course. Learn Data Science Methods and Algorithms with Pandas and Python [2024]

Created by Henrik Johansson | 38 hours on-demand video course

Data Science Course Overview

Data Science Methods and Algorithms [2024]

Welcome to the course Data Science Methods and Algorithms with Pandas and Python!

Data Science is expanding and developing on a massive and global scale. Everywhere in society, there is a movement to implement and use Data Science Methods and Algorithms to develop and optimize all aspects of our lives, businesses, societies, governments, and states.

This course will teach you a large selection of Data Science methods and algorithms, which will give you an excellent foundation for Data Science jobs and studies. This course has exclusive content that will teach you many new things regardless of if you are a beginner or an experienced Data Scientist.

What you’ll learn

  • Knowledge about Data Science methods, algorithms, theory, best practices, and tasks
  • Deep hands-on knowledge of Data Science and know how to handle common Data Science tasks with confidence
  • Detailed and deep Master knowledge of Regression, Prediction, Classification, Supervised Learning, Cluster Analysis, and Unsupervised Learning
  • Hands-on knowledge of Scikit-learn, Statsmodels, Matplotlib, Seaborn, and some other Python libraries
  • Advanced knowledge of A.I. prediction models and automatic model creation
  • Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources
  • Option: To use the Anaconda Distribution (for Windows, Mac, Linux)
  • Master the Python 3 programming language for Data Handling
  • Master Pandas 2 and 3 for Advanced Data Handling

Python Data Science: Unsupervised Machine Learning

Python Data Science: Unsupervised Machine Learning

Learn Python for data science & machine learning, and build unsupervised learning models w/ a top Python instructor!

This is Python Data Science: Unsupervised Machine Learning hands-on, project-based course designed to help you master the foundations for unsupervised learning in Python. We’ll start by reviewing the data science workflow, discussing the techniques & applications of unsupervised learning, and walking through the data prep steps required for modeling. You’ll learn how to set the correct row granularity for modeling, apply feature engineering techniques, select relevant features, and scale your data using normalization and standardization.

Python Data Science: Data Prep & EDA with Python

Python Data Science: Data Prep & EDA with Python

Learn Python + Pandas for data cleaning, profiling & EDA, and prep data for machine learning & data science with Python

This is Python Data Science: Data Prep & EDA with Python hands-on, project-based course designed to help you master the core building blocks of Python for data science. We’ll start by introducing the fields of data science and machine learning, discussing the difference between supervised and unsupervised learning, and reviewing the data science workflow we’ll be using throughout the course.

From there we’ll do a deep dive into the data prep & EDA steps of the workflow. You’ll learn how to scope a data science project, use Pandas to gather data from multiple sources and handle common data cleaning issues, and perform exploratory data analysis using techniques like filtering, grouping, and visualizing data.

This course includes

  • a comprehensive and easy-to-follow teaching package for Mastering Python and Pandas for Data Handling, which makes anyone able to learn the course contents regardless of beforehand knowledge of programming, tabulation software, Python, Data Science, or Machine Learning
  • an easy-to-follow guide for using the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). You may learn to use Cloud Computing resources in this course
  • an easy-to-follow optional guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able to install a Python Data Science environment useful for this course or for any Data Science or coding task
  • content that will teach you many new things, regardless of if you are a beginner or an experienced Data Scientist
  • a large collection of unique content, and this course will teach you many new things that only can be learned from this course on Udemy
  • A course structure built on a proven and professional framework for learning.
  • A compact course structure and no killing time

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Taught by Henrik Johansson

Josh Smith
Josh Smith

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