easylearn.ing
Easy Learning with Python Data Science: Data Prep & EDA with Python
Development > Data Science
8.5 h
£54.99 £12.99
4.6 ★★★★★
6012 students
Bestseller

Enroll Now

Language: English

Python Data Science Mastery: Data Preparation & Exploratory Analysis

What you will learn:

  • Master foundational Python skills for data science before diving into advanced machine learning
  • Define clear goals, techniques, and data sources for effective data science project scoping
  • Import and export data from various sources like flat files, Excel spreadsheets, and SQL databases using Pandas
  • Clean and transform messy data by handling missing values, duplicates, outliers, and converting data types
  • Unlock insights through exploratory data analysis (EDA) by sorting, filtering, grouping, and visualizing data
  • Prepare your data for powerful machine learning models by joining tables, aggregating rows, and applying feature engineering

Description

Dive deep into the foundational skills of Python for data science with this hands-on, project-based course. You'll master data preparation and exploratory analysis (EDA) techniques using the powerful Pandas library, essential for building a successful career in data science and machine learning.


This comprehensive course guides you through the entire data science workflow, from defining project goals to preparing your data for powerful machine learning models. You'll learn to:

  • Scope data science projects effectively, defining problems, solutions, and data needs.

  • Import and export data from various sources like flat files, Excel spreadsheets, and SQL databases using Pandas.

  • Clean and transform data with confidence, tackling common issues like missing values, duplicates, and outliers.

  • Perform in-depth exploratory data analysis (EDA) to uncover hidden patterns and insights by sorting, filtering, grouping, and visualizing data.

  • Prepare your data for machine learning models through feature engineering, data aggregation, and table manipulation.


Throughout the course, you'll play the role of a Junior Data Scientist working for a fictional music streaming service, Maven Music, using real-world scenarios and data sets to solidify your understanding. This practical experience will equip you with the skills needed to confidently tackle data science challenges in your own projects.


Get immediate, lifetime access to:

  • 8.5 hours of high-quality video content

  • 16 engaging homework assignments

  • 7 insightful quizzes

  • 2 challenging projects (one mid-course, one final)

  • Downloadable project files and solutions for practice and reference

  • Dedicated expert support and a vibrant Q&A forum

  • Udemy's 30-day satisfaction guarantee for peace of mind


Whether you're an aspiring data scientist or a business intelligence professional looking to gain a solid foundation in data science with Python, this course is your ideal starting point. Join today and begin your journey towards mastering the power of data!


- Alice Zhao (Python Expert & Data Science Instructor, Maven Analytics)