Data Analysis and Visualization with Python
Skill Path
Get the crucial data analysis and visualization skills you need for any data job. You'll learn the fundamentals of Python to prepare, explore, analyze and build data visualizations. By the end, you'll be able to convey insightful stories and help make data-driven decisions.
- Beginner friendly
- 3 months (5 hrs/week)
- Self paced
- 7 Courses
- 6 projects
Overview of Python courses
Python skills you'll learn
- ✓ Programming with Python to manipulate data
- ✓ Using the Python libraries Pandas and NumPy for data analysis
- ✓ Using the most common data visualization techniques to explore data
- ✓ Using data visualization to convey insights and tell a story
Outline of Python courses
2 steps · 7 courses
Part 1: Introduction to Python [4 courses]
Introduce yourself to the Python programming language.
- Course 1
Introduction to Python Programming
2hDevelop foundational Python programming skills by writing code, working with variables, and processing numerical and text data.
Course Objectives ▾
- Write computer programs using Python
- Save values using variables
- Process numerical data and text data
- Create lists using Python
- Course 2
Basic Operators and Data Structures in Python
5hStrengthen Python fundamentals by using loops, conditional logic, operators, and dictionaries to manipulate data and construct frequency tables.
Course Objectives ▾
- Use for loops to repeat processes and conduct data analysis
- Implement if, else, and elif statements in programming logic
- Employ logical and comparison operators in Python
- Develop and update Python dictionaries for data manipulation
- Construct frequency tables using dictionaries for data analytics
- Course 3
Python Functions and Jupyter Notebook
7hCreate reusable Python functions and run analyses in Jupyter Notebook to organize code, debug logic, and complete portfolio-ready data projects.
Course Objectives ▾
- Write Python functions
- Debug functions
- Define function arguments
- Write functions that return multiple variables
- Employ Jupyter notebook
- Build a portfolio project
- Course 4
Intermediate Python for Data Science
8hStrengthen your Python data science skills by cleaning text data, working with dates and times, and applying object-oriented programming concepts.
Course Objectives ▾
- Clean and analyze text data
- Define object-oriented programming in Python
- Process dates and times
Part 2: Data Analysis and Visualization with Python [3 courses]
Learn how Python and Pandas simplify data analysis and visualization.
- Course 1
Introduction to Pandas and NumPy for Data Analysis
13hDevelop practical skills with NumPy and pandas to explore, clean, and analyze data efficiently using real datasets and guided practice.
Course Objectives ▾
- Improve your workflow using vectorized operations
- Select data by value using Boolean indexing
- Analyze data using pandas and NumPy
- Course 2
Introduction to Data Visualization in Python
7hApply statistical reasoning to visualization by combining Python plotting tools with sound design choices to communicate patterns, trends, and insights clearly.
Course Objectives ▾
- Visualize time series data with line plots
- Define correlations and visualize them with scatter plots
- Visualize frequency distributions with bar plots and histograms
- Improve your exploratory data visualization workflow using pandas
- Visualize multiple variables using Seaborn's relational plots
- Course 3
Telling Stories Using Data Visualization and Information Design
5hApply data visualization and information design principles in Python to turn raw data into clear, engaging stories for stakeholders.
Course Objectives ▾
- Create graphs using information design principles
- Create narrative data visualizations using Matplotlib
- Create visual patterns using Gestalt principles
- Control attention using pre-attentive attributes
- Employ Matplotlib's built-in styles
Python projects you'll build
6 hands-on projects across the path
Exploring eBay Car Sales Data
For this project, we'll assume the role of data analysts for a used car classifieds service to explore and clean a dataset of car listings from eBay Kleinanzeigen, a section of the German eBay website.
Profitable App Profiles for the App Store and Google Play Markets
For this project, you'll be a data analyst at a company that builds free, ad-supported Android and iOS apps. To drive revenue, you'll analyze real app market data to find app profiles that attract the most users.
Exploring Hacker News Posts
For this project, we'll be data analysts exploring Hacker News posts. We'll use Python string manipulation, OOP, and date handling to analyze trends driving post popularity. Check out our Jupyter Notebook Guided Project if needed.
Project: Learn and Install Jupyter Notebook
For this project, you'll take on the role of a Jupyter Notebook beginner. You'll learn the essentials of running code, adding explanatory text, and installing Jupyter locally to prepare for real-world data projects.
Finding Heavy Traffic Indicators on I-94
For this project, you'll assume the role of a data analyst exploring a dataset on westbound traffic on the I-94 Interstate highway. You'll apply exploratory data visualization techniques to determine indicators of heavy traffic.
+ 1 more projects throughout the path
Earn your Data Analysis and Visualization with Python Certificate
Add this Python certificate to your resume or LinkedIn to showcase your skills and stand out in job applications.
Enroll For FreeThe Dataquest guarantee
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Master skills faster with Dataquest
Go from zero to job-ready
Learn exactly what you need to achieve your goal. Don't waste time on unrelated lessons.
Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
Showcase your path certification
Share the evidence of your hard work with your network and potential employers.
Grow your career with Dataquest.
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