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  • ETL, Data Preparation and Data Cleaning with Power Query

ETL, Data Preparation and Data Cleaning with Power Query

  • By Ahmed Oyelowo
  • Data Analysis
  • (0 Rating)
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    • If you work with data in any capacity, you probably know that the most tedious part of all the tasks is getting the data ready. Nevertheless, it is arguably the most essential part of the analytics process because it lays the foundation for every other aspect.

      If you get it wrong at the Data Prep stage, many things will go wrong down the line. That is why the instructor has specified and recommended strictly that all intending students of this course must complete the following course first:

      👉🏾Data Analysis and Visualization Course

      Don’t worry, it is also free 😉

      Microsoft Power Query is an easy-to-use and powerful ETL application with Desktop versions running in Excel and Power BI.

      In this course, you will learn and master the use of Power Query to Extract, Transform, Prepare, and Clean dirty data.

      Some specific things you will learn are:

      • Connecting to Data Sources
      • Profiling and Exploring Data in Power Query
      • Combining Data with Power Query (Joins and Union)
      • Shaping and Transposing Data with Power Query
      • Dealing with Errors in Power Query
      • Summarizing Data with Group By in Power Query
      Show More
      What Will You Learn?
      • Gain proficiency in using Microsoft Power Query for effective data extraction.
      • Learn advanced techniques for connecting to various data sources.
      • Develop skills in data profiling and exploration to understand data quality and structure.
      • Master the art of combining data from different sources using Joins and Union methods.
      • Acquire the ability to shape and transpose data for tailored analysis.
      • Enhance your skills in identifying and resolving errors within Power Query.
      • Discover methods for summarizing and grouping data to extract meaningful insights.
      • Understand the process of cleaning and preparing data for accurate analytics.
      • Develop a solid foundation in ETL processes, crucial for data analytics.
      • Equip yourself with practical, hands-on experience in data manipulation and analysis.

      Material Includes

      • Comprehensive Video Tutorials covering all course topics.
      • Detailed Course eBook and Lecture Notes.
      • Practical Exercises and Case Studies for hands-on experience.
      • Access to Sample Data Sets for practice.
      • Interactive Quizzes and Assessments to test understanding.

      Requirements

      • Power BI Desktop.
      • Basic understanding of data concepts and analytics.
      • Access to Microsoft Excel and Power BI for practical exercises.
      • Willingness to engage in hands-on learning and problem-solving.
      • Regular internet access for course materials and online resources.

      Audience

      • aptLearn Students who have completed and gotten certification on Data Analysis and Visualization with PowerBI.
      • Data Analysts seeking to enhance their data preparation and ETL skills.
      • Business Intelligence Professionals looking to streamline their data processing workflows.
      • Excel and Power BI users aiming to expand their data manipulation capabilities.
      • IT Professionals and System Administrators involved in data management and reporting.
      • Students and Academics interested in learning practical data analytics tools.

      Course Content

      Introduction

      • Introduction to Data Preparation
        03:02
      • Getting Data into Power Query
        06:34
      • Understanding how Power Query works
        08:24
      • Previewing Column Quality for Errors and Empty values
        03:37
      • Previewing number of Unique and Distinct Values with Column Distribution
        04:16
      • Previewing Column Statistical Summaries with Column Profile
        03:20
      • Setting Data Preview Checks for Entire Dataset
        01:30
      • Intro Quiz

      Combining Datasets

      • Introduction to combining data
        01:58
      • Understanding Append Queries
        07:08
      • What you must know about Append Queries
        04:16
      • Understanding Merge Queries
        06:31
      • Using multiple columns as keys for Merging Queries
        08:03
      • Understanding Join Kinds
        04:54
      • Using the Join Kinds in Power Query
        10:16
      • What you must know about Merge Queries
        04:30

      Structuring Data in Power Query

      • Introduction to Transposing Data
        04:12
      • Transposing Data when there is header row
        05:15
      • Understanding Unpivot Columns
        06:40
      • Unpivoting Columns when there are null values
        03:26
      • Unpivoting Columns without Header Rows
        03:38
      • Understanding Pivot Columns
        06:32
      • Understanding GroupBy
        09:21

      Creating New Columns in Power Query

      • Adding Duplicate and Index Columns
        04:39
      • Adding new columns from a Text Column
        04:00
      • Adding new columns from numbers and date columns
        05:08
      • Adding Conditional Columns (1)
        04:19
      • Adding Conditional Columns (2)
        05:59
      • Adding Custom Columns (1)
        06:27
      • Adding Custom Columns (2)
        04:19
      • Adding columns from example
        02:42

      Other Power Query Transformations

      • Other common column transformations
        07:00
      • Removing Duplicate Records
        02:07
      • Dealing with Cell Errors
        08:07
      • Checking for reasons for Cell Errors
        06:40

      Cleaning Dirty Data

      • Introduction to Data Cleaning
        01:47
      • Cleaning Dirty Data (Example 1)
        08:01
      • Cleaning Dirty Data (Example 2)
        06:13
      • Cleaning Dirty Data (Example 3)
        06:07
      • Cleaning Dirty Data (Example 4)
        04:35
      • Cleaning Dirty Data (Example 5)
        07:41
      • Cleaning Dirty Data (Example 6)
        11:46

      This course offers certificate of completion

      Add this certificate to your resume, and be the standout candidate recruiters cannot ignore

      selected template

      Tags

      • Data Science

      A course by

      Ahmed Oyelowo
      Ahmed Oyelowo
      Data Analyst

      Student Ratings & Reviews

      No Review Yet
      No Review Yet

      Course Includes:

      • Price:
        $36.10 Original price was: $36.10.$11.40Current price is: $11.40.
      • Instructor:Ahmed Oyelowo
      • Duration: 10 hours 20 minutes
      • Lessons:41
      • Students:15
      • Level:Intermediate
      $11.40 $36.10
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