Invitation To A 5-day Training In Data Analytics Using Python

COURSE OVERVIEW

The “Data Analysis Using Python” course is designed to introduce participants to the fundamentals of data analysis using Python, one of the most widely-used programming languages in data science. The course will cover key topics such as data manipulation, data cleaning, statistical analysis, and data visualization. Participants will gain hands-on experience with popular Python libraries like Pandas, NumPy, and Matplotlib, learning how to apply them to real-world datasets.

The details of the program are as follows:

Date: 24th – 28th March, 2025
Venue: Ghana Communication Technology University, Tesano-Accra
Time: 9:00am -4:00pm
Fee: Affordable (fees includes tuition, course materials, feeding and certificate)

LEARNING OUTCOMES

By the end of the course, participants will be able to:

• Gain proficiency in using key Python libraries such as Pandas, NumPy, and Matplotlib for data manipulation, processing, and visualization.
• Import various types of datasets, clean and preprocess data to ensure it is ready for analysis.
• Perform Data Manipulation
• Apply statistical methods using Python to analyze datasets and draw conclusions based on the results.
• Create meaningful data visualizations using Matplotlib to represent data trends, distributions, and relationships
• Make Data-Driven Decisions and Communicate Findings Clearly

COURSE CONTENTS

• Introduction to Python Programming: Overview, basic syntax, data structures, and functions.
• Data Handling with Pandas: Import/export (CSV, Excel), data cleaning, and preprocessing.
• NumPy for Numerical Data: Arrays, functions, and data manipulation.
• Data Visualization with Matplotlib and Seaborn: Basic and advanced visualizations, chart customization.
• Exploratory Data Analysis (EDA): Descriptive statistics, correlation analysis, outlier detection.
• Statistical Analysis and Hypothesis Testing: Statistical concepts, hypothesis tests (T-tests, chi-square).
•  Advanced Topics (Optional): SQL integration, time series analysis, introduction to machine learning.

WHO SHOULD ATTEND

This course is ideal for data analysts looking to enhance their skills, business analysts interested in using data analysis to drive business decisions, aspiring data scientists building a foundation in Python programming and data analysis, IT professionals seeking to integrate data analysis into their technical roles, students and graduates aiming to acquire practical data analysis skills for career advancement, and anyone interested in learning data analysis. While no prior data analysis experience is required, a basic understanding of programming will be an advantage.

Sessions: Face-to-face / Online Contact details: 0202698359 / 0501341945; Email cpd@gctu.edu.gh / vagbugblah@gctu.edu.gh