Data Analysis Course Outline

Our Data Analysis course offers a comprehensive deep dive into data analysis techniques, from basic to advanced concepts. You'll learn how to clean, analyze, and visualize data using industry-standard tools like Microsoft Excel, Python, and more.

Course Duration: 3 Months

This course spans over 3 months, allowing you to build your skills gradually, with hands-on projects and assignments to reinforce your learning.

Course Outline:

• Module 1: Introduction to Data Analysis
• Overview of the Data Analysis Process
• Understanding Types of Data and their Sources
• Introduction to Data Cleaning and Preparation
• Module 2: Advanced Excel for Data Analysis
• Advanced Excel Functions (VLOOKUP, INDEX-MATCH, IF Statements)
• Pivot Tables and Pivot Charts
• Data Filtering, Sorting, and Conditional Formatting
• Working with Large Datasets
• Automating Tasks with Macros and VBA
• Module 3: Data Exploration and Preparation
• Exploratory Data Analysis (EDA)
• Data Transformation Techniques
• Handling Missing Data
• Outlier Detection and Removal
• Module 4: Data Visualization
• Introduction to Visualization Tools (Matplotlib, Seaborn)
• Creating Graphs and Charts
• Visualizing Data with Excel and Power BI
• Best Practices for Presenting Data Visually
• Module 5: Statistical Analysis
• Descriptive Statistics
• Introduction to Hypothesis Testing
• Regression Analysis and its Applications
• Module 6: Advanced Data Analysis Techniques
• Time Series Analysis
• Clustering and Classification Techniques
• Predictive Modeling Using Machine Learning Algorithms
• Module 7: Final Project
• Data Analysis Project: End-to-End Workflow
• Data Cleaning, Exploration, Visualization, and Modeling
• Presentation of Insights and Findings

Market Prices:

• Full Course Price: $799 (Includes all modules, projects, and course materials)
• Payment Plan: $299 per month (3 months)

If you're ready to advance your career and become proficient in data analysis, this course will provide you with all the skills you need to get started. Whether you're a beginner or have some prior experience, this course is tailored to guide you through to an advanced level.