Best Business Analytics training in Chennai

Module 1 -Introduction to Data Analytics: 

• Overview of data analytics and its importance in business decision-making.

• Understanding different types of data (structured, unstructured, semi-structured).

• Introduction to data analytics tools and technologies.

Module 2 -Data Collection and Preparation: 

• Techniques for collecting and extracting data from various sources (databases, APIs, web scraping, etc.).

• Data cleaning and preprocessing to handle missing values, outliers, and inconsistencies.

• Data integration and transformation to prepare it for analysis.

Module 3 -Data Management in Excel: 

• Importing and exporting data from different sources (CSV, databases, web, etc.).

• Data cleaning and preparation techniques (removing duplicates, handling missing values, etc.).

• Structuring data tables for analysis.

Module 4 -Data Visualization in Excel: (90 Mins)

• Creating charts and graphs to visualize data trends and patterns.

• Customizing chart elements (titles, axes, legends) for clarity and impact.

• Using sparklines and conditional formatting for visual data analysis.

Module 5 -Pivot Tables and Pivot Charts: (90 Mins)

• Introduction to pivot tables for dynamic data summarization and analysis.

• Grouping and filtering data in pivot tables.

• Creating pivot charts to visualize pivot table data.

Module 6 -Data Presentation and Reporting: (90 Mins)

• Formatting and designing professional-looking reports and dashboards in Excel.

• Incorporating interactive features (e.g., slicers, buttons) for user-friendly reports.

• Exporting Excel reports to other formats (PDF, PowerPoint) for sharing.

Module 7 -Advanced Data Analysis Techniques: (120 Mins)

• Using Excel's built-in analysis tools (e.g., Goal Seek, Solver) for optimization and what-if analysis.

• Performing regression analysis to model relationships between variables.

• Time series analysis using Excel's date and time functions.

Module 8 -Data Analysis Add-Ins and Tools: (120 Mins)

• Introduction to Excel add-ins for advanced analytics (e.g., Analysis ToolPak, Power Query, Power Pivot).

Module 9 -Data Analysis with Excel Functions: (90 Mins)

• Basic statistical functions (e.g., SUM, AVERAGE, COUNT, MIN, MAX).

• Advanced functions for descriptive statistics (e.g., STDEV, MEDIAN, MODE).

• Using logical functions (e.g., IF, AND, OR) for data filtering and manipulation.