Data Analysis with Python courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with datasets, interpreting results, and communicating findings effectively. Many courses introduce tools like Pandas for data handling, Matplotlib and Seaborn for visualization, and Scikit-learn for implementing machine learning algorithms. These skills and tools empower you to analyze complex data sets and derive actionable insights across various domains.

Packt
Skills you'll gain: NumPy, Time Series Analysis and Forecasting, Scikit Learn (Machine Learning Library), Predictive Modeling, Pandas (Python Package), Matplotlib, Plot (Graphics), Data Analysis, Predictive Analytics, Data Visualization, Database Management, Applied Machine Learning, Text Mining, Data Manipulation, Data Science, Data Processing, Python Programming, Statistical Analysis, Data Wrangling, Big Data
Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Plot (Graphics), Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Data Science, Statistical Analysis, Data Wrangling, Python Programming
Beginner · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: Statistics, Correlation Analysis, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Tree Maps, Plot (Graphics), Plotly, Data Analysis, Data Visualization, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Quantitative Research, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Correlation Analysis, Data Visualization, Data Manipulation, Plot (Graphics), Data Wrangling, Data Import/Export, JSON, Statistical Visualization, Data Cleansing, Data Transformation, Data Visualization Software, Data Preprocessing, Exploratory Data Analysis, Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Wrangling, Data Processing, Data Visualization, Plot (Graphics), Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Data Integration, Statistics, Infectious Diseases, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Time Series Analysis and Forecasting, Data Import/Export, Data Wrangling, Jupyter, Data Visualization, Microsoft Excel, Data Transformation, Plot (Graphics), Data Analysis, Data Cleansing, Data Preprocessing, Memory Management, Sampling (Statistics)
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Presentation, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization, Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Business Analysis, Data Wrangling, Case Studies, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization, Statistical Visualization, Data Wrangling, Data Science, Data Structures
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Data Wrangling, Data Access, Programming Principles, Python Programming, Data Structures, Development Environment, Scripting, Package and Software Management, Software Installation, Object Oriented Programming (OOP)
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Scientific Visualization, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, NumPy, Data Dictionary, Box Plots, Python Programming
Beginner · Course · 1 - 4 Weeks