Data Analysis and Visualization Techniques using Excel
Track Data Science
Duration 30 hours
Skill Level Intermediate
Language English

About this Course

Learn to analyze and present data effectively using Excel. Focus on real-world applications of charts, graphs, and insights.
Learning Mode: Learn at ALC or at Home

Detailed Course Curriculum

Hands-on module breakdown aligned with MKCL production standards and industry requirements.

  • 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
  • Data Analysis in Power Pivot
  • Power Pivot Fundamentals
  • Creating Relationships in Power Pivot
  • Introduction to DAX Formulas
  • DAX Measures
  • Introduction
  • Cleaning Data
  • Combining Data
  • Appending Data
  • 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
Eligibility Criteria
• Basic knowledge of computers and keen desire to build skills in this field.
• Open to students, job seekers, and working professionals.
Official Certification
• Official MKCL KLiC Certificate upon successful completion of the course and evaluations.
Work-Centric Learning Approach
• 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!

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