Gain the practical Python skills that will help you land your first job as a data analyst — or help you grow your career by adding one of the most popular programming languages to your CV. You’ll learn how to program with Python to dig into data analysis and data visualization — among other things. By the end, you’ll be able to manage the entire analysis process from preparing data to presenting insights through data visualization.
In this path, you’ll learn the fundamentals of Python, as well as how to prepare and extract data by querying databases with SQL, how to create insightful data visualization, and how to perform descriptive and predictive statistical analysis.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
- Python for Data Science: Fundamentals
- Python for Data Science: Intermediate
- Pandas & NumPy Fundamentals
- Exploratory Data Visualization
- Storytelling Through Data Visualization
- Data Cleaning and Analysis
- Data Cleaning in Python: Advanced
- Data Cleaning Project Walkthrough
- Elements of the Command Line
- Text Processing in the Command Line
- SQL Fundamentals
- Intermediate SQL for Data Analysis
- APIs and Web Scraping in Python
- Statistics: Fundamentals
- Statistics Intermediate: Averages & Variability
- Probability Fundamentals
- Conditional Probability
- Hypothesis Testing: Fundamentals
- Command Line: Intermediate
- Git & Version Control
- Spark & Map-Reduce
