Data Analysis
Data Analysis
Data Analysis is one of the most essential skills in today’s digital world. This course helps learners understand, clean, analyze, and visualize data using popular tools. It is ideal for students, professionals, and job seekers who want to work in business analysis, MIS reporting, and data-driven decision-making.
Duration: Flexible
Fees: Contact us for details
Syllabus Highlights
- Introduction to Data Analysis & Analytics Lifecycle
- Excel for Data Analysis (Formulas, Pivot Tables, Dashboards)
- SQL for Data Extraction & Management
- Python for Data Analysis (NumPy, Pandas, Matplotlib, Seaborn)
- Data Cleaning & Preprocessing Techniques
- Exploratory Data Analysis (EDA)
- Data Visualization & Reporting
- Power BI / Tableau Basics (Interactive Dashboards)
- Statistics for Data Analysis (Mean, Median, Standard Deviation, Correlation, Regression)
- Business Applications of Data Analysis (Finance, Marketing, HR, Sales)
- Real-World Case Studies
Projects
- Sales Performance Dashboard in Excel / Power BI
- Customer Segmentation using SQL & Python
- Employee Performance Analysis
- Market Trend Analysis
- Business Insights Report (Big Project)
Outcomes
- Strong foundation in Excel, SQL & Python for data analysis
- Ability to clean, process & visualize real-world data
- Practical experience with dashboards & reporting tools
- Readiness for roles like Data Analyst, MIS Executive, and Business Analyst
Syllabus Highlights:
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