Data Analyst Certification Course Syllabus

An end-to-end Data Analyst Master’s Program spanning approximately 12 weeks with a balanced focus on statistics, SQL, Python, Excel, and BI tools. This course blends foundational concepts with hands-on projects using real datasets, requiring a weekly commitment of 6–8 hours. You’ll progress from exploratory data analysis to building interactive dashboards and applying basic machine learning, culminating in a capstone project that showcases your ability to derive and present actionable insights.

Module 1: Statistics & Exploratory Data Analysis

Estimated time: 24 hours

• Descriptive statistics and summary metrics
• Data distributions and central tendency
• Identifying outliers and anomalies
• Performing exploratory data analysis (EDA) on real datasets

Module 2: SQL for Data Analytics

Estimated time: 24 hours

• Writing SELECT queries and filtering data
• Using JOINs and subqueries
• Applying window functions and CTEs
• Querying sales databases for customer and product insights

Module 3: Python for Data Analysis

Estimated time: 24 hours

• Working with Pandas DataFrames
• Data cleaning and transformation techniques
• Grouping and merging datasets
• Visualizing findings using Matplotlib

Module 4: Data Visualization with Power BI

Estimated time: 12 hours

• Building data models in Power BI
• Writing basic DAX expressions
• Designing interactive reports and dashboards
• Using slicers, filters, and custom visuals

Module 5: Data Visualization with Tableau

Estimated time: 12 hours

• Navigating the Tableau interface
• Creating calculated fields and parameters
• Building interactive dashboards with drill-downs
• Designing story points for presentation

Module 6: Advanced Analytics & Machine Learning

Estimated time: 24 hours

• Applying regression and classification basics
• Implementing K-means clustering
• Evaluating model performance
• Developing predictive models on marketing data

Module 7: Excel for Data Analysis

Estimated time: 12 hours

• Creating PivotTables and advanced formulas
• Using Power Query for data transformation
• Automating reports with macros and data validation

Module 8: Capstone Project & Presentation

Estimated time: 24 hours

• Conducting end-to-end data analysis on a real-world dataset
• Building interactive dashboards in Power BI or Tableau
• Presenting data-driven business recommendations

Prerequisites

• Basic computer literacy
• Familiarity with spreadsheets
• No prior coding experience required

What You'll Be Able to Do After

• Analyze and interpret complex datasets using statistical methods
• Query and manipulate data using SQL
• Clean, transform, and visualize data using Python and Pandas
• Build interactive dashboards in Power BI and Tableau
• Apply basic machine learning models and present insights professionally