Course overview
This interactive Python course for beginners develops fundamental data science skills to help you begin your journey to become a successful data professional. In this course, you’ll learn basic arithmetic, how to write code using Python syntax, and work with different types of data. In addition, you’ll be introduced to fundamental programming concepts like iteration and conditional statements.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser.
Key skills
- Save and update values using variables
- Process numerical data and text data
- Create and update lists using Python
- Repeat a process using a for loop
- Use logical and comparison operators to apply conditions to data
- Complete a project using Jupyter Notebook
Course outline
Introduction to Python Programming [6 lessons]
Writing Our First Python Program 2h
Lesson Objectives- Save values using variables
- Perform arithmetic operations
- Update variables
- Print values
- Write informative comments
Fundamental Data Types 2h
Lesson Objectives- Process numerical data
- Process text data
- Process logical data
- Convert data types
Lists 2h
Lesson Objectives- Employ lists in Python
- Index and slice lists
- Retrieve values from lists
- Employ list of lists in Python
Iteration 2h
Lesson Objectives- Define the structure a for loop
- Open a dataset using Python
- Repeat a process using a for loop
- Analyze data using a for loop
Control Flow 2h
Lesson Objectives- Apply conditions to data using if, else, and elif statements
- Employ logical operators
- Employ comparison operators
- Employ multiple conditional statements
Guided Project: Kaggle Data Science Survey 2h
Lesson Objectives- Explain the context of the problem
- Understand how to use a Jupyter notebook
- Clean the dataset
- Analyze the dataset
- Summarize findings
Projects in this course
Guided Project: Kaggle Data Science Survey
For this project, we’ll act as a data analyst for Kaggle. Kaggle surveyed a large population of data scientists and asked them about their current career status and the various skills they use. Our goal is to analyze this dataset and learn what skills are necessary for becoming a solid data scientist.
The Dataquest guarantee
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
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
Impress employers by completing a capstone project and certifying it with an expert review.
Learning resources
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