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Python Data Science: Data Prep & EDA with Python

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Python Data Science: Data Prep & EDA with Python
Data Science in Python Data Prep EDA

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

Product Brand: Udemy

Editor's Rating:
4.6

Udemy Coupon Code for Python Data Science: Data Prep & EDA with Python Course. Learn Python + Pandas for data cleaning, profiling & EDA, and prep data for machine learning & data science with Python

Created by Maven Analytics, Alice Zhao | 8.5 hours on-demand video course

Python Data Science Course Overview

Python Data Science: Data Prep & EDA with Python

This is a 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.

Throughout the course, you’ll play the role of a Jr. Data Scientist for Maven Music, a streaming service that’s been struggling with customer churn. Using the skills you learn throughout the course, you’ll use Python to gather, clean, and explore the data to provide insights about their customers. Last but not least, you’ll practice preparing data for machine learning models by joining multiple tables, adjusting row granularity, and engineering useful fields and features.

What you’ll learn

  • Master the core building blocks of Python for data science BEFORE applying machine learning algorithms
  • Scope data science projects by clearly defining the goals, techniques, and data sources needed for your analysis
  • Import and export flat files, Excel workbooks, and SQL database tables using Pandas
  • Clean data by converting data types, handling common data issues, and creating new columns for analysis
  • Perform exploratory data analysis (EDA) by sorting, filtering, grouping, and visualizing data to discover patterns and insights
  • Prepare data for machine learning models by joining tables, aggregating rows, and applying feature engineering techniques

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.

ChatGPT for Python Data Science and Machine Learning

Master Data Analysis, Regression, Classification, Clustering and Pandas Coding with ChatGTP! A Project-based Course.

Welcome to the first Data Science and Machine Learning course with ChatGPT. Learn how to use ChatGPT to master complex Data Science and Machine Learning real-life projects in no time! Real-world Data Science and Machine Learning projects require a solid background in advanced statistics and Data Analytics. And it would be best if you were a proficient Python Coder. Do you want to learn how to master complex Data Science projects without the need to study and master all the required basics (which takes dozens if not hundreds of hours)? Then this is the perfect ChatGPT for Python Data Science and Machine Learning course for you!

Who this course is for

  • Data scientists looking to learn core techniques and best practices for data prep and exploratory data analysis
  • Python users who want to build the core skills required before applying AI and machine learning models
  • Data analysts or BI experts looking to transition into a data science role
  • Anyone interested in learning one of the most popular open source programming languages in the world

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Taught by Alice Zhao

Josh Smith
Josh Smith

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