Python Data Fundamentals Are you ready to gain the foundational skills you need to become a Python data analyst? In this track, you'll learn the Python basics you need to start on your data analytics journey,
Develop your data analytics skills in Python. Gain the data analyst skills to manipulate, analyze, and visualize data. No coding experience required!
数据集可以从这里导入: [`https://github.com/DataRepo2019/Data-files/blob/master/titanic.csv`](https://github.com/DataRepo2019/Data-files/blob/master/titanic.csv) 数据集的背景信息:1912 年 4 月 15 日号,英国客轮泰坦尼克号在从南安普顿到纽约的处女航中与冰山相撞后沉没。在 2,224 名乘客中,有 ...
cleaning, and crunching data in Python. My goal is to offer a guide to the parts of the Python programming language and its data-oriented library ecosystem and tools that will equip you to become an effective data analyst. While "data analysis" is in the title of the book, the focus is...
For convenience, here are links to all the blog posts in this series: Part 1 – The Basics Part 2 – Working with Columns Part 3 – Filtering Tables Part 4 – Data Cleaning and Wrangling (this post) Part 5 – Combining Tables
Presentation: Introduction to pandas for data analysis; cleaning and preparing data with pandas Hands-on exercises: Load and inspect data with pandas; explore data transformation and aggregation Q&A Break Data visualization basics with Matplotlib and Seaborn (60 minutes) Presentation: Fundamentals of data...
Python Basics Learn the fundamentals of Python programming, including syntax, variables, and control structures. Data Visualization Create stunning charts and graphs using Matplotlib and Seaborn to represent data visually. Data Wrangling Master data manipulation techniques using pandas and NumPy for cleaner...
This live event is for you because... You are new to programming and wish to prepare for Data Science study. You work closely with Data Scientists in a Python shop and wish to better understand the language basics. You are a Product Manager, Data Analyst, or Marketeer who want to ...
Part 1 – The Basics (this post) Part 2 – Working with Columns Part 3 – Filtering Tables Part 4 – Data Cleaning and Wrangling Part 5 – Combining Tables Note: To reproduce the examples in this post,install thePython in Exceltrial. If you like this blog series, check out my Anaconda...
Best For: Intermediate learners who already know Python basics. Key Topics: Data visualization, machine learning, data wrangling, and statistical analysis. Automate the Boring Stuff with Python Author: Al Sweigart Why It’s Great: While not solely focused on data analysis, this book teaches how ...