Description

Course Title: Data Analysis Essentials

Duration: 8 weeks

Overview: This short course is designed to provide a hands-on and practical introduction to data
analysis. Whether you’re a beginner looking to enter the field of data or someone wanting to
enhance their analytical skills, this course covers the key concepts, tools, and techniques
necessary for effective data analysis.

Key Modules
1. Introduction to Data Analysis
• Understanding the role of data analysis in decision-making.
• Overview of key data analysis concepts and terminology.
2. Data Cleaning and Preprocessing
• Techniques for cleaning and preparing raw data.
• Dealing with missing values and outliers.
3. Exploratory Data Analysis (EDA)
• Visualizing data using graphs and charts.
• Extracting insights from data distributions.
4. Statistical Analysis
• Introduction to basic statistical concepts.
• Applying statistical tests for data inference.
5. Introduction to Data Visualization
• Choosing the right visualization for different types of data.
• Creating compelling and informative data visualizations.
6. Introduction to Machine Learning
• Overview of machine learning concepts.
• Practical applications of machine learning in data analysis.

Assessment

Assessment methods include hands-on exercises, data analysis projects, and a
final presentation where participants showcase their ability to analyze and interpret data.

Benefits

By the end of the course, participants will have gained practical skills in data
analysis, allowing them to confidently work with and derive insights from data sets. The

emphasis on hands-on projects ensures that learners are ready to apply their knowledge to real-
world scenarios, making informed decisions based on data.