Ementorhub

What you'll learn

Write Python programs using core concepts like variables, data types, and control flow.

Apply NumPy and Pandas to manipulate and analyze data efficiently.

Create insightful data visualizations using Matplotlib, Seaborn, and Plotly for effective reporting.

Perform statistical analysis and probability tests to solve data-driven problems and validate hypotheses.

Skills you'll gain

Statistical Analysis

Data Science

Data Manipulation

Data Visualization Software

Probability & Statistics

Python Programming

Seaborn

Statistics

Plotly

Pandas (Python Package)

Descriptive Statistics

Programming Principles

Statistical Hypothesis Testing

Statistical Methods

Data Analysis

Matplotlib

Exploratory Data Analysis

NumPy

Probability

There are 4 modules in this course

By the end of this course, you will be able to: - Understand and apply Python programming concepts such as data types, operators, and control structures - Manipulate data using popular libraries like NumPy and Pandas - Visualize data with Python libraries such as Matplotlib, Seaborn, and Plotly - Analyze data using statistical techniques, including measures of central tendency, dispersion, and probability - Perform hypothesis testing and draw insights from the data This course is designed for beginners, data enthusiasts, and aspiring data scientists who want to build a strong foundation in Python programming and statistical analysis. No prior programming experience is required, although familiarity with basic statistics will be helpful. Join us to start your journey into data analysis and programming with Python!

Exploring Data with NumPy and Pandas

Statistics in Python

Course Wrap-up and Assessment