Analyze with Confidence: A Hands-On Online Data Analysis Program

To equip learners with comprehensive data analysis skills using industry-relevant tools and techniques. By the end of the course, students will be able to collect, clean, analyze, and visualize data to support decision-making processes. The course emphasizes practical, hands-on experience through real-world projects, interactive sessions, and expert-led tutorials, all conducted online.

Course Modules Overview:

Month 1: Foundations & Tools

1. Introduction to Data Analysis

   • What is data analysis?

   • Real-world applications

2. Excel for Data Analysis

   • Data entry, formatting, formulas

   • Pivot tables and basic charts

3. Statistics for Data Analysts

   • Mean, median, mode, standard deviation

   • Probability, correlation, regression

4. Data Cleaning Techniques

   • Handling missing data, duplicates

   • Data normalization and formatting

5. Introduction to Python for Data

   • Python basics (variables, loops, functions)

   • Using pandas and numpy

Month 2: Applied Analysis & Visualization
6. Data Visualization with Excel & Python

• Charts, dashboards, seaborn, matplotlib

7. Exploratory Data Analysis (EDA)

   • Hypothesis testing

   • Pattern and trend discovery

8. Introduction to SQL for Data

   • Querying databases

   • Filtering, joining, aggregating

9. Capstone Project

   • Define a problem, analyze a dataset, present findings

10. Career Guidance and Portfolio Building

• Resume tips for analysts

• Portfolio setup on GitHub or personal website

What Learners Will Be Able to Do After This Course (Summary for Students):

• Analyze and interpret datasets using Excel and Python

• Apply statistical methods to draw conclusions

• Visualize data through graphs, charts, and dashboards

• Clean and prepare raw data for analysis

• Perform SQL queries to extract insights from databases

• Complete a real-world data project from start to finish

• Build a portfolio and prepare for data analyst roles