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Data Analytics Using Power Query

Become an Expert With This Data Analytics Using Power Query Course

Data analytics using Power Query is a powerful and versatile approach to extracting, transforming, and analyzing data from various sources. With its intuitive interface and robust set of functions, Power Query provides users with the tools to efficiently clean, shape, and merge data, allowing for deeper insights and informed decision-making.

The main goal of data analytics using Power Query is to facilitate the process of data preparation and transformation. By connecting to diverse data sources such as databases, spreadsheets, websites, APIs, and more, Power Query enables users to combine and clean data effortlessly.

Early Bird Discount Available

Duration - 32 Hours

Mode: Online | Offline [Both Available]

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Welcome to Campus Sutras' Data Analytics using Power Query course! In today's data-driven world, the ability to efficiently gather, transform, and analyze data is crucial for making informed business decisions. Our comprehensive course on Data Analytics using Power Query is designed to equip you with the skills and knowledge to harness the power of Power Query, a powerful data transformation and preparation tool.

In this course, you will embark on a journey to master the art of data analytics using Power Query. Whether you're a data analyst, business professional, or aspiring data scientist, this course is tailored to enhance your ability to extract valuable insights from diverse datasets.

At Campus Sutras, we believe in hands-on learning experiences. Through practical exercises and projects, you will have the opportunity to apply your knowledge to real-world datasets, further enhancing your skills and proficiency in data analytics using Power Query.

Join us today and unlock the power of data analytics with Power Query. Whether you're looking to enhance your analytical skills, improve data quality and reliability, or streamline your data preparation processes, Campus Sutras' Data Analytics using Power Query course will provide you with the tools and knowledge to leverage the full potential of Power Query and drive impactful data analytics.

Benefits of Doing This Course

  • Enhanced Data Integration
  • Simplified Data Transformation
  • Time Efficiency
  • Data Quality and Consistency
  • Flexibility and Scalability
  • Reusability and Automation
  • Integration with Microsoft Ecosystem
  • Industry-Relevant Insights
  • Networking and Collaboration
  • Recognized Certification

Who Should Enroll This Course

The Data Analytics Using Power Query course is beneficial for a wide range of professionals and individuals who want to enhance their data analytics skills and leverage the power of Power Query. The course is particularly suitable for:

Course Content

Module 1: Introduction to Power Query

  • Overview of Power Query and its Features
  • Understanding Data Transformation and Data Cleaning
  • Power Query Interface and Navigation
  • Connecting to Data Sources

Module 2: Data Preparation and Data Cleaning

  • Importing and Connecting Data
  • Data Preparation Techniques
  • Data Cleaning and Data Transformation
  • Handling Missing Data and Duplicates

Module 3: Data Transformation with Power Query

  • Filtering and Sorting Data
  • Using Conditional Logic and IF Statements
  • Splitting and Merging Columns
  • Grouping and Aggregating Data

Module 4: Combining Data with Power Query

  • Merging Queries and Data Joins
  • Appending and Combining Queries
  • Working with Multiple Data Sources

Module 5: Advanced Data Transformation

  • Using Custom Columns and Expressions
  • Creating Conditional Columns and Parameters
  • Working with Date and Time Functions
  • Text Manipulations and Error Handling

Module 6: Managing Queries and Query Editor

  • Renaming, Duplicating, and Deleting Queries
  • Understanding Query Dependencies
  • Using Query Editor Options and Settings

Module 7: Data Refresh and Data Loading

  • Refreshing Data from Data Sources
  • Managing Data Load Options
  • Creating Connection Queries

Module 8: Power Query Formula Language (M)

  • Introduction to Power Query Formula Language (M)
  • Understanding M Functions and Syntax
  • Creating Custom Functions in Power Query

Module 9: Power Query Best Practices

  • Optimizing Performance and Efficiency
  • Creating Reusable Queries and Templates
  • Documenting Queries and Data Transformations

Module 10: Power Query in Power BI and Excel

  • Integrating Power Query with Power BI
  • Using Power Query in Excel
  • Combining Power Query with Data Models