Course Overview
Want to turn raw data into real insights—and impressive visuals?
This hands-on course is designed to help you master the foundational skills of statistics, programming, and data visualization, all in one place.
In just a few weeks, you’ll go from beginner to confidently analyzing data, writing clean code, and creating compelling visual stories using industry-standard tools.
Throughout the course, we cover essential topics and technologies including:
Descriptive & Inferential Statistics (For understanding data and making predictions)
Python & R Programming (For writing efficient code to analyze and process data)
Pandas and NumPy (For data manipulation and computation)
Matplotlib, Seaborn & Plotly (For creating stunning static and interactive data visualizations)
Real-World Projects (To apply your skills on datasets from business, science, and tech)
What you will learn
Learn the basics of data structure using Python and R.
Use programming to interactively analyze user data and trends.
Create engaging visualizations with libraries like Matplotlib and ggplot2.
Store and manage datasets using SQL and data frames.
Implement statistical models and test hypotheses with code.
FINAL PROJECT: Build a complete data analysis pipeline with coded insights and visual reports.
Course Curriculum
32
Lessons
(
9 hours
)
Course Review
Pablo
Statistics, Coding, and Visualization is an excellent course for anyone looking to understand how data comes to life. I gained practical skills in analyzing data, writing clean code, and visualizing insights. The combination of theory and hands-on projects kept me engaged. Highly recommended for anyone wanting to dive deeper into data science!
Ben
This course helped me bridge the gap between raw data and actionable insights. The coding exercises were challenging but rewarding, and the visualization techniques are something I'll use regularly. I particularly enjoyed the real-world examples that made complex concepts much easier to grasp. A solid choice for aspiring data scientists!
