DataQuest: Data Analyst in Python path
Data Analyst in Python
Learn how to make manipulate and analyze data.
This path will teach you the basics of Python and how to use it for data scienceYou’ll learn how to work with data sources, data cleaning techniques, how to perform statistical analyses, data visualization, and predictive analysis. In addition, at the of the path, you will learn how to:
- Basic and intermediate programming concepts
- How to clean and visualize data.
- Probability and statistics for data analysis.
- Collaboration tools like git and SQL databases.
Goal Accomplishment Criteria
прошла весь путь
-
Python for Data Science: Fundamentals
-
Python for Data Science: Intermediate
-
Pandas & NumPy Fundamentals
-
Introduction to NumPy
-
Boolean Indexing with NumPy
-
Introduction to pandas
-
Exploring Data with pandas: Fundamentals
-
Exploring Data with pandas: Intermediate
-
Data Cleaning Basics
-
Guided Project: Exploring Ebay Car Sales Data
-
-
Exploratory Data Visualization
-
Line Charts
-
Multiple plots
-
Bar Plots And Scatter Plots
-
Histograms And Box Plots
-
Guided Project: Visualizing Earnings Based On College Majors
-
-
Storytelling Through Data Visualization
-
Data Cleaning and Analysis
-
Data Cleaning Project Walkthrough
-
Command Line: Beginner
-
Command Line: Intermediate
-
Git & Version Control
-
SQL Fundamentals
-
SQL Intermediate: Table Relations & Joins
-
SQL & Databases: Advanced
-
APIs & Web Scraping
-
Statistics: Fundamentals
-
Statistics Intermediate: Averages & Variability
-
Probability & Statistics in Python: Intermediate
Don't miss new posts!
Subscribe for the Goal and follow through to its completion
