Learn Digital Marketing in Rs 2500

Module 1: Review and Exploration of Excel Functions (2 Weeks):

- Week 1: Essential Excel Functions:

- Refresh understanding of core Excel functions for data manipulation (SUM, AVERAGE, VLOOKUP, IF etc.).

- Week 2: Advanced Excel Functions:

- Explore advanced functions for data analysis (SUMIFS, INDEX MATCH, XLOOKUP etc.).

- Utilize logical functions (AND, OR, IFS) for conditional statements with complex criteria.

- Master text manipulation functions (CLEAN, LEFT, RIGHT etc.) for data cleaning.

Module 2: Advanced Data Cleaning and Formatting (2 Weeks):

- Identify and handle various data quality issues (missing values, inconsistencies, errors).

- Apply advanced data cleaning techniques using conditional formatting and filtering.

- Utilize data validation tools to ensure data accuracy upon entry.

- Standardize data formats (dates, numbers, text) for improved consistency and analysis.

Module 3: Introduction to MS Excel Power Query (1 Week):

- Understand the benefits and functionalities of Power Query for data transformation.

- Explore the Power Query Editor interface and its components.

- Learn how to import data from various sources (Excel files, databases, text files, web).

- Connect to external data sources and manage data connections effectively.

Module 4: Mastering Data Transformation with Power Query (2 Weeks):

- Perform data shaping techniques (splitting, merging, appending tables) for complex data organization.

- Utilize custom columns and formulas within Power Query for derived data calculations.

- Implement filtering, grouping, and aggregation functions for data summarization.

- Apply text manipulation functions within Power Query for advanced data cleaning.

Module 5: Introduction to M Language (Optional) (1 Week):

- Gain a foundational understanding of the M language, Power Query's formula language.

- Learn to write basic M formulas for advanced data transformation tasks within Power Query.

Module 6: Building Robust Data Models with Power Pivot (2 Weeks):

- Understand the core concepts of data modeling in Power Pivot.

- Learn how to create relationships between tables for accurate data analysis.

- Explore techniques for managing the data model schema for efficient data exploration.

- Load data from various sources into Power Pivot for comprehensive analysis.

Module 7: Data Model Optimization (1 Week):

- Learn strategies for handling large datasets and optimizing data model performance.

- Discover best practices for building scalable and efficient data models.

Module 8: Introduction to DAX (2 Weeks):

- Understand the DAX formula language, used for calculations and analysis within the Power Pivot data model.

- Learn basic DAX syntax and common functions for data manipulation and calculations.

Module 9: Calculated Columns with DAX (2 Weeks):

- Create calculated columns within the data model for derived data based on existing data.

- Utilize DAX functions for calculations, date manipulations, and text operations.

- Reference data from other tables within calculated columns for complex analysis.

Module 10: Calculated Measures with DAX (2 Weeks):

- Create calculated measures for summarizing and analyzing data within the data model.

- Utilize DAX aggregation functions (SUMX, AVERAGEX, etc.) for flexible calculations.

- Build complex calculations with nested DAX functions for advanced data analysis.

Module 11: Key Performance Indicators (KPIs) with DAX (1 Week):

- Design and create KPIs using DAX formulas for effective data visualization and communication.

- Format KPIs for clear and impactful presentation.