Data Analytics 10th February – 31st of March 2025

Course Overview: 

This course equips participants with data analysis techniques and tools to derive actionable insights and drive data-driven decisions.

Course Objectives:

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

1. Understand Data Analytics Fundamentals:

• Learn the importance and processes of data analytics.

2. Collect and Clean Data:

• Perform data collection, cleaning, and preparation.

3. Use Analytical Tools and Techniques:

• Utilize Excel, SQL, and data visualization tools.

4. Interpret and Visualize Data:

• Create dashboards and reports to present insights.

5. Apply Statistical Analysis:

• Use statistical methods to analyze and interpret data.

6. Make Data-driven Decisions:

• Leverage analytics for strategic business decisions.

Course Contents:

Module 1: Introduction to Data Analytics

• Data types and sources

• Analytics process

Module 2: Data Collection and Preparation

• Data gathering techniques

• Cleaning and transforming data

Module 3: Exploratory Data Analysis (EDA)

• Descriptive statistics

• Data visualization

Module 4: Statistical Analysis

• Inferential statistics

• Hypothesis testing

Module 5: Analytical Tools

• Excel, SQL, and Power BI

• Introduction to Python for data analysis

Module 6: Data Visualization

• Creating dashboards

• Storytelling with data

Module 7: Case Studies and Applications

• Industry-specific analytics

• Real-world business problems

Target Audience:

• Business Analysts

• Data Professionals

• Decision-makers

• Students