Certificate in Data Analysis

COURSE DETAILS

In today's data-driven world, this course focuses on equipping students with the ability to extract actionable insights from data. It covers data collection, cleaning, analysis, and visualization using tools like Python, R, and data analysis libraries. Graduates are prepared for roles in data analytics and decision support.

Objective

To provide a strong foundation in data analysis.
To enable students to work with real-world data.
To enhance data-driven decision-making skills.

Course Structure

This course is organized into 8 online live class sessions, with each session lasting 2 hours. Each session is carefully designed to concentrate on specific elements of the course material, allowing you to progressively develop your understanding and expertise as you follow the curriculum outlined below.

Session 1: Introduction to Data Analysis
Session 2: Data Collection and Cleaning
Session 3: Data Exploration and Visualization
Session 4: Statistical Analysis and Hypothesis Testing
Session 5: Data Wrangling with Python or R
Session 6: Machine Learning Fundamentals
Session 7: Practical Data Analysis Projects
Session 8: Data Ethics and Privacy

Weekly Assignment

You will receive either a reading or problem-solving assignment each week. Completing all your weekly assignments is a mandatory requirement to successfully finish the course.

Reading assignments are designed to help you understand key concepts and theories related to the course material. Be sure to engage with the readings actively, taking notes and highlighting important points.
Problem-solving assignments will challenge you to apply what you've learned. Carefully read and analyze the problem statements, and use the knowledge gained from the readings and previous weeks to solve them.