Course Overview
Develop practical data analytics skills and learn how to turn raw data into meaningful business insights.
Duration
5 Months
Level
Beginner to Advanced
Projects
5+ Projects
Certificate
Course Certificate
What You Will Learn
Complete Course Content
Data Analytics Fundamentals
Understand data analytics and the complete analytics workflow.
- Types of data
- Analytics lifecycle
- Data sources
- Business questions
- Data-driven decisions
Excel for Data Analytics
Learn spreadsheet techniques used by data analysts.
- Excel formulas
- Functions
- Sorting and filtering
- Pivot tables
- Charts
- Data cleaning
SQL
Learn how to retrieve and analyze data from relational databases.
- SELECT queries
- WHERE
- GROUP BY
- JOINs
- Subqueries
- Aggregate functions
- Window functions
Python for Analytics
Use Python libraries for data analysis.
- Python fundamentals
- Lists and dictionaries
- Functions
- Pandas
- NumPy
- DataFrames
Data Cleaning
Learn how to prepare raw datasets for analysis.
- Missing values
- Duplicate records
- Data formatting
- Outliers
- Data validation
Data Visualization
Learn how to communicate data using charts and dashboards.
- Charts
- Graphs
- Dashboard design
- KPIs
- Data storytelling
Business Analytics
Use data to answer common business questions.
- Sales analysis
- Customer analysis
- Performance metrics
- Trend analysis
- Business KPIs
Final Analytics Project
Analyze a complete dataset and create a professional report.
- Data collection
- Data cleaning
- SQL analysis
- Python analysis
- Visualization
- Business recommendations
Final Data Analytics Project
Analyze a real-world style business dataset and create an interactive analytical report.
- Clean raw data
- Perform SQL analysis
- Analyze data using Python
- Create visualizations
- Build a dashboard
- Present business insights
Requirements
- Basic computer knowledge
- No previous analytics experience required
- Laptop or desktop
- Internet connection
Start Your Data Analytics Career
Learn to turn data into meaningful business insights.