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Master Power Query & Power BI for Advanced Data Analysis and Elevate Your Career to New Heights!

Develop your skills and propel your career in data analysis and strategic decision-making with our advanced training on Power Query & Power BI. Master the art of transforming, merging, and visualizing complex data, and discover how these powerful tools can revolutionize the way you approach data analysis.

Formation Microsoft Access
About the Power Query & Power BI Program
Importation and Transformation of Data with Power Query
Basic Data Transformations and Table Merging
Creation of Custom Functions and Data Combining
Getting Acquainted with Power BI Desktop for Report Creation
Utilization of Combined Charts, Segments, Maps, and Scatter Plots
The details of the Power Query & Power BI training

Importation and Data Transformation: Power Query

• Introduction to Data Import, Transformation, and Merging: Introduction to methods of importing and merging data from different sources.

• Basic Data Transformations: Understanding and applying basic data transformations such as filtering, sorting, and removing rows.

• Table Merging: Learning to merge tables to obtain more comprehensive datasets.

• Data Consolidation at a Higher Level: Combining datasets at higher levels for more complex analyses.

• File Consolidation: Merging multiple data files into a cohesive dataset.

• Adding Date Columns: Generating date columns for easier temporal analysis.

• Fill Options: Using different fill options to populate missing or empty data.

• Column Pivot Options: Understanding and applying pivot operations to organize data conveniently.

• Data Transposition Options: Transforming data layout to make it more accessible and actionable.

• Data Refresh Options: Configuring data refresh options to keep the data up to date.

• Conditional Functions: Applying functions based on specific conditions in the data.

• Creating Custom Functions: Developing custom functions to meet specific analysis needs.

• Combining Multiple Sheets: Combining data from multiple worksheets for integrated analysis.

• Percentage of a Column: Calculating percentages based on values in a given column.

• ABC Classification – Pareto: Applying the ABC – Pareto classification method to identify the most important elements in a dataset.

• Introduction to the M query language for a deep understanding of advanced Power Query features.

• Overview of Power BI: Introduction to the basic features of Power BI and its user interface.

• Power BI Desktop: Familiarization with the desktop tool for report and visualization creation.

• Power BI Online (Service): Exploring the features and advantages of the Power BI online service.

• Connecting to Data: Connecting to different data sources and understanding available connection methods.

• Data Cleaning and Transformation: Using cleaning and transformation features to prepare data for analysis.

• Handling Irregularly Formatted Data: Managing and formatting data that does not follow a standard formatting scheme.

• Creating a Simple Report: Building simple visualizations to present data clearly and concisely.

• Combined Charts: Using combined charts to compare multiple datasets simultaneously.

• Using Segments: Segmenting data for in-depth analysis at different levels.

• Using Maps: Creating interactive maps to visualize geographic data.

• Tables and Matrices: Using tables and matrices to present tabular data in an organized manner.

• Scatter Plots: Using scatter plots to identify trends and patterns in data.

• Advanced Charts: Exploring advanced visualization features to present information in a more complex and detailed manner.

• Publishing Reports from Power BI Desktop to Power BI Service: Sharing reports created in Power BI Desktop with other users via the Power BI service.

• Printing and Exporting Dashboards: Printing and exporting visualizations for offline use or external presentations.

• Publishing and Data Refresh: Configuring and managing automatic data refresh to keep reports up-to-date with the latest information.

• Types of Calculations: Understanding the different types of calculations possible with DAX.

• DAX Functions: Using DAX functions for advanced calculations and in-depth analysis.

• Table Relationships and DAX: Establishing relationships between tables for cross-analysis and using DAX accordingly. • DAX Tables and Filtering: Applying filters using DAX tables to achieve precise and targeted results.