Intro to Data Analysis
|
Understand the principles of data analysis, including techniques for data collection, cleaning, and interpretation.
Explore a variety of datasets, posing and answering your own questions about each. You’ll be using the Python libraries NumPy, Pandas, and Matplotlib.
User Reviews
Be the first to review “Intro to Data Analysis”
Related Products
Business Intelligence Analytics
Gain insights into business intelligence tools and analytics techniques to optimize decision-making.
Data Scientist: Analytics Specialist
Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.
Data Scientist: Inference Specialist
Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.
Introduction to Data Analysis with Pandas and NumPy
Learn to use Pandas and NumPy libraries for data manipulation and analysis in Python.
Data Analyst
Learn the skills to analyze, interpret, and present data for informed business decisions.
Introduction to Data
Learn the fundamentals of data collection, analysis, and interpretation.
There are no reviews yet.