Data Analysis Using Python

somX

About This Course

somX is excited to introduce the "Data Analysis Using Python" course, a comprehensive program designed to equip learners with the essential skills needed to analyze, interpret, and visualize data using Python. This course is ideal for individuals looking to break into the field of data analysis, enhance their professional skill set, or apply data-driven decision making in various domains.
In this course, learners will embark on a journey to master the fundamentals of data analysis using Python, one of the most popular programming languages for data science. The course covers essential Python libraries such as NumPy, pandas, Matplotlib, and Seaborn, and introduces participants to the techniques and tools necessary for analyzing, visualizing, and interpreting data.

What you'll learn?

Python Programming Basics: Refresh your understanding of Python syntax, data types, and basic operations.
Data Manipulation with Pandas: Dive into the world of Pandas for data cleaning, manipulation, and preparation.
Statistical Analysis: Learn statistical methods for data analysis, including descriptive statistics and hypothesis testing.
Data Visualization: Master the art of visualizing data using libraries like Matplotlib and Seaborn to create insightful charts and graphs.
Real-world Data Projects: Work on practical projects involving real datasets to gain hands-on experience in tackling common data analysis challenges.
Introduction to Machine Learning: Get a basic understanding of machine learning techniques in data analysis.

Course Outline - Lessons

Workshop 1: Introduction to Programming with Python

Getting Started
Basic Math Operations
Data Types
Variables

Workshop 2: Data Structures in Python

Lists
Tuples
Strings
Dictionaries
Sets
Numpy Arrays

Workshop 3: Data Handling with Pandas

Data Frames
Reading Data
Writing Data
Exploring Data
Cleaning Data

Workshop 4: Data Manipulation and Preparation

Working with Text Data
Preparing Numeric Data
Joining Data

Workshop 5: Data Analysis Techniques

Frequency Tables
Data Visualization & Plotting
Descriptive Statistics

Workshop 6: Statistical Analysis and Machine Learning Basics

Probability Distributions
Confidence Interval
Hypothesis Testing
T-Tests
Chi-Squared Tests
ANOVA
Linear Regression

Course Requirements

Beginners in data analysis or Python programming.
Professionals in sectors that require data-driven decision making.
Students in fields such as business, finance, statistics, computer science, or any discipline where data analysis is a key skill.
Entrepreneurs or business owners who want to leverage data insights for business strategies.

Course Staff

Abdullahi Mohamud Osman

Abdullahi Mohamud Osman is a highly qualified tutor for the "Data Analysis using Python" course. With a strong background in data analysis and a Google Certified Data Analyst, Abdullahi brings a wealth of expertise to the classroom. His experience is not limited to theoretical knowledge; he excels in building practical, data-driven solutions that have a real impact. Under his guidance, you can expect to receive top-notch instruction and hands-on experience in the world of data analysis using Python.

Frequently Asked Questions

What web browser should I use?

The somX platform works best with current versions of Chrome, Edge, Firefox, or Safari.

See our list of supported browsers for the most up-to-date information.