
Explore the core ideas of data science and learn to analyze, visualize, and model data using Python to extract insights and inform decisions across business, health care, and more.
Learn to collect data, clean and explore it, build a model, and interpret results. Identify qualitative and quantitative data, primary and secondary sources, and present findings with visuals.
Learn why Python drives data science and explore essential libraries like pandas, numpy, matplotlib, and seaborn, plus core concepts: data types, loops, conditions, and functions for data analysis.
Learn to clean data with python by handling missing values (fill with mean, median, or most common category), dropping duplicates, encoding categories as numbers, and creating age-group features.
Explore data with summary statistics, including mean, median, and standard deviation, and visualize distributions using histograms, bar graphs, scatter plots, and box plots.
Curious about data science but not sure where to start? This course is beginner-friendly and is a great introduction! If you are someone who simply wants to understand how data science is used and drives decisions in the real world, this course will take you step by step, with no prior experience needed!
You will get to learn the basic, yet core concepts of data science: data collection, cleaning, analysis, and visualization. We will get a chance to walk through data science being used around us with simple examples to make the concepts easy to grasp. You will get to learn how to use basic concepts in statistics and Python (with pandas) to build upon data science concepts.
The chapters of this course will go over...
1) What data science is
2) Basic steps to take when working with data
3) Python basics
4) How to clean data
5) Exploring and visualizing data to create models
By the end of this course, you'll have a strong foundation to build on, whether you're learning for a class, looking to boost your career, or simply gain a valuable skillset in data science.
Join me and discover how to turn raw data into insight, impact, and opportunity!