Data Analysis using MS Excel, Power Query & MS Access (DBMS)


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Data Analysis using MS Excel, Power Query & 

MS Access (DBMS)


    Welcome to the "Data Analysis using MS Excel, Power Query & MS Access (DBMS)" course at Infodemy360! Are you ready to harness the combined power of Microsoft Excel, Power Query, and MS Access to revolutionize your data analysis skills? In this comprehensive course, you'll delve into the world of data manipulation, transformation, and database management using industry-leading tools. Whether you're a beginner seeking to grasp the fundamentals or a seasoned professional aiming to enhance your expertise, our curriculum covers everything from basic data analysis techniques to advanced database operations. Learn how to efficiently import, clean, and analyze data using Excel and Power Query, and discover the power of MS Access for managing databases and creating relational models. Join us and embark on a journey to become a proficient data analyst with Microsoft's suite of tools!






**********Course Modules**********


Module 1: Introduction to Data Analysis - 1 Week

Understanding the importance of data analysis in decision-making

Overview of Microsoft Excel, Power Query, and MS Access

Setting up the environment and understanding basic functionalities


Module 2: Data Importation and Cleaning with Excel and Power Query - 1 Week

Importing data from various sources into Excel

Introduction to Power Query for data transformation and cleaning

Cleaning and structuring data to prepare it for analysis


Module 3: Data Analysis with Excel - 1 Week

Exploring basic data analysis techniques in Excel (e.g., sorting, filtering, pivot tables)

Performing statistical analysis using Excel functions

Creating visualizations and charts to communicate insights effectively


Module 4: Advanced Data Analysis Techniques with Excel - 1 Week

Advanced data manipulation and analysis using array formulas

Utilizing Excel's built-in data analysis tools (e.g., What-If Analysis, Solver)

Introduction to Power Pivot for more sophisticated data modeling and analysis


Module 5: Introduction to MS Access (DBMS) - 1 Week

Understanding the role of MS Access in database management

Creating and working with tables, queries, forms, and reports in MS Access

Establishing relationships between database entities for efficient data management


Module 6: Integrating Excel, Power Query, and MS Access - 1 Week

Importing and exporting data between Excel, Power Query, and MS Access

Leveraging Power Query to connect Excel and MS Access for seamless data analysis

Automating data workflows and processes for increased efficiency


Module 7: Advanced Database Operations with MS Access - 1 Week

Advanced query techniques (e.g., parameter queries, SQL queries)

Implementing data validation and integrity constraints

Enhancing database performance and scalability


Module 8: Real-world Case Studies and Projects - 1 Week

Applying learned concepts and techniques to real-world scenarios

Working on hands-on projects to reinforce understanding

Presenting findings and insights from data analysis projects



Training Mode : Online


Data Analysis Course Brochure : Click Here



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