Excel Power Query Fundamentals Course in Bangla

About Course

Sick of spending hours formatting, cleaning, and shaping data before you can get any insights? What if you could simplify messy data prep with just a few clicks? Power Query is the game-changing add-in for Excel that makes it easier than ever to transform raw data into analysis-ready datasets. In this course, you’ll unlock the tools to import data from almost any source, and then clean, enrich, and optimize it for reporting. Learn how Power Query eliminates painful manual data prep so you can focus on high-value analysis to drive better decisions. With these in-demand skills, you can position yourself for data analyst, business intelligence, and consultant roles paying a handsome amount of money or freelance as a highly paid data consultant. Become the data pro every team wants with indispensable expertise in Power Query. Join now and start saving hours each week while opening up new career and freelancing opportunities!

By the End of this Excel Power Query Course, You’ll be Able to

Import data from any sources
Data analysis like a pro
Understand your data like never before and make smart choices
Change and organize information for different purposes
Find and correct mistakes in your data so that everything is right
Use the best methods to work with data and avoid common mistakes

Course Certificate

Get a Course Completion Certificate when you complete the course. Use this to showcase your new skills to employers or clients. You will be able to share it directly on social media.

Meet Your Instructor

Your instructor John Smith has over 10 years of experience using Excel and Power Query to make sense of complex data. He consults with 500 companies on data analytics and business intelligence initiatives. John has taught thousands of students data skills through his popular online courses. His practical, real-world teaching style makes even the most difficult concepts easy to understand. Join John and learn how to work with your data with Power Query!

Course Content

Module 1: Introduction to Excel Power Query

Video 1: Overview of Power Query: What it is, why use it, and its benefits over traditional Excel methods.

02:00
Video 2: Navigating the Power Query Interface: Understanding the layout, key features, and functionalities.

05:00
Video 3: Connecting to Data Sources: Importing from Excel, CSV, text files, databases, web sources, and folders.

03:00
Video 4: Data Preview and Filtering: Exploring your data, applying basic filters, and understanding filter logic.

10:00
Video 5: Introduction to M Language: Understanding the role of M in Power Query, basic syntax, and using simple functions.

08:00
Video 6: Refreshing and Managing Data Connections: Setting up automatic refreshes, managing multiple connections, and troubleshooting issues.

07:00
Video 7: Getting Help and Resources: Learning about online resources, documentation, and community forums for further learning.

08:00

Module 2: Transforming Datasets for Deeper Insights

Module 3: Extracting Information from Data

Module 4: Combining Multiple Data Sources

Module 5: Troubleshooting and Common Issues

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

About Course

By the End of this Excel Power Query Course, You’ll be Able to

Course Certificate

Meet Your Instructor

What Will You Learn?

Course Content

Module 1: Introduction to Excel Power Query

Video 1: Overview of Power Query: What it is, why use it, and its benefits over traditional Excel methods.

Video 2: Navigating the Power Query Interface: Understanding the layout, key features, and functionalities.

Video 3: Connecting to Data Sources: Importing from Excel, CSV, text files, databases, web sources, and folders.

Video 4: Data Preview and Filtering: Exploring your data, applying basic filters, and understanding filter logic.

Video 5: Introduction to M Language: Understanding the role of M in Power Query, basic syntax, and using simple functions.

Video 6: Refreshing and Managing Data Connections: Setting up automatic refreshes, managing multiple connections, and troubleshooting issues.

Video 7: Getting Help and Resources: Learning about online resources, documentation, and community forums for further learning.

Module 2: Transforming Datasets for Deeper Insights

Video 8: Removing Duplicates and Formatting Data: Identifying and removing duplicates, and applying consistent formatting for improved readability.

Video 9: Text Manipulation: Splitting, trimming, combining, and cleaning text strings based on specific criteria.

Video 10: Adding and Removing Columns: Creating new columns with formulas or expressions, and removing unwanted columns for streamlined data.

Video 11: Conditional Formatting and Logic: Applying conditional formatting based on rules, introducing basic IF statements for decision-making within queries.

Video 12: Date and Time Functions: Working with dates and times effectively using built-in Power Query functions.

Video 13: Grouping and Summarizing Data: Grouping data by categories and using aggregation functions (SUM, AVERAGE, COUNT) for insights.

Video 14: Error Handling Basics: Identifying common errors, using Try/Catch blocks for error handling, and cleaning data for better analysis.

Module 3: Extracting Information from Data

Video 15: Text Extraction and Combining: Advanced techniques for extracting specific information from text strings using regular expressions or parsing methods.

Video 16: Web Scraping: Introduction to web scraping basics, ethical considerations, and extracting data from websites.

Video 17: Combining Data from Different Sources: Merging data from multiple tables based on shared columns, handling missing values, and ensuring data consistency.

Video 18: Data Cleaning and Validation: Advanced techniques for data cleaning, using custom functions, and validating data integrity.

Video 19: Data Shaping and Restructuring: Transforming data layout by pivoting, unpivoting, and using custom M functions for complex reshaping.

Module 4: Combining Multiple Data Sources

Video 20: Joining and Merging Tables: Understanding different join types (inner, left, right, full), applying filters during joins, and handling large datasets.

Video 21: Appending and Combining Tables: Stacking tables vertically, de-duplicating data when combining, and maintaining data integrity.

Video 22: Using Parameters and Customizing Queries: Creating dynamic queries with parameters for flexible data sources and filtering options.

Video 23: Building Reusable Functions: Creating custom M functions for repetitive tasks, improving workflow efficiency and code reusability.

Video 24: Error Handling and Troubleshooting Advanced: Identifying and resolving complex errors, using debugging techniques, and optimizing query performance.

Video 25: Version Control and Collaboration: Sharing and collaborating on Power Query queries, using version control tools for tracking changes.

Module 5: Troubleshooting and Common Issues

Video 26: Advanced Error Handling Strategies: Implementing custom error handling routines, using custom messages, and providing user feedback on data issues.

Video 27: Data Quality Checks and Validation: Building data quality checks within your queries, ensuring data integrity and consistency.

Video 28: Data Profiling and Analysis: Exploring data characteristics using profiling tools, identifying trends and anomalies.

Video 29: Performance Optimization Techniques: Optimizing queries for large datasets, using techniques like filtering early and avoiding unnecessary transformations.

Video 30: Best Practices and Tips: Sharing best practices for building efficient and maintainable Power Query queries, providing tips for continuous learning and improvement.

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