
Data Analysis and Visualization Techniques using Excel
Learn to analyze and present data effectively using Excel. Focus on real-world applications of charts, graphs, and insights.

Track
Data Science
Level
Intermediate
Language
English
Duration
30 hours
Learning Mode
Learn at ALC or at Home
Introduction
- Learn to automate repetitive tasks and streamline data management processes in Excel using Macros and Visual Basic for Applications (VBA), including creating user forms and interacting with databases.
- Gain foundational knowledge about DBMS concepts, focusing on how databases are structured, managed, and utilized in data storage and retrieval.
- Explore the capabilities of Power Pivot in Excel, including data modeling, creating relationships, and utilizing DAX formulas for enhanced data analysis.
- Excel in the use of Power Query in Excel for cleaning, combining, and appending data to prepare it for analysis or reporting.
- Understand the principles of Excel automation using VBA, aiming to improve efficiency and functionality in data processing and reporting tasks.
- Learn the basics of Power BI for creating interactive reports and dashboards that enable data-driven decision-making in businesses.
- Acquire skills in using Google Looker Studio for creating, managing, and sharing interactive data reports and visualizations.
What you'll learn ?
- Automate Excel Tasks with Macros and VBA: Create macros and write VBA code to automate tasks in Excel, such as managing customer information, handling personal finance data, and modifying entries in a database.
- Apply DBMS Principles: Understand the basic principles of DBMS and how they apply to data management and storage, enhancing their ability to work with databases effectively.
- Analyse Data Using Power Pivot: Utilize Power Pivot for complex data analysis, create data models, establish relationships between data sets, and apply DAX formulas to extract actionable insights.
- Transform Data with Power Query: Use Power Query to efficiently clean, combine, and append data, preparing it for analysis or reporting with enhanced accuracy and relevance.
- Implement Excel and VBA Automation: Develop automation solutions in Excel using VBA, improving workflow efficiency, data analysis, and report generation processes.
- Create Business Intelligence Solutions with Power BI: Design and implement interactive reports and dashboards in Power BI, facilitating advanced data visualization and business intelligence capabilities.
- Design Effective Reports with Google Looker Studio: Create, manage, and share interactive reports using Google Looker Studio, applying best practices for effective data visualization and report design.
Syllabus
Use of Macros and VBA in Excel.
- Designing of Excel Sheet as an Input Form for saving customers information
- Saving Data in Database using VBA code
- Enhancing VBA Code to save data in next available row
- Create User Forms for Personal Cash Manager
- Code for adding cash in database
- Code for adding expenses in database
- Create User Form to modify entry
- Code to modify specified entry
- Save code for modify entry
Introduction to Power Pivot
- Introduction to Power Pivot
- Data Analysis in Power Pivot
- Power Pivot Fundamentals
- Creating Relationships in Power Pivot
- Introduction to DAX Formulas
- DAX Measures
Power Query
- Introduction
- Cleaning Data
- Combining Data
- Appending Data
Google Looker Studio
- Introduction
- Creating Reports and Chart Types
- Action controls for Reports and Managing Reports
- Sharing Reports, Collaborating on Reports and Tips to create an effective report
Work-Centric Approach
The academic approach of the course focuses on ‘work-centric’ education. With this hands-on approach, derive knowledge from and while working to make it more wholesome, delightful and useful. The ultimate objective is to empower learners to also engage in socially useful and productive work. It aims at bringing learners closer to their rewarding careers as well as to the development of the community.
- Step 1: Learners are given an overview of the course and its connection to life and work
- Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
- Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
- Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
- Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
- Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
- Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
- Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
- Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
- Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
- Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
- Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!