Excel Essentials Pro
Track Data Science
Duration 60 hours
Skill Level Advanced
Language English

About this Course

Learn key Excel skills including data entry, formulas, formatting, and chart creation.
Learning Mode: Learn at ALC or at Home

Detailed Course Curriculum

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

  • Apply Custom Styles and Templates
  • Using Custom Views and Outlines
  • Introduction
  • Top & Bottom Categories
  • Greater Than
  • Highlight Cells Rules - Less Than, Between, Equal To, Clear Rules
  • Highlight Cells Rules - A Date Occurring
  • Highlighting cells rules
  • Data Bars, Colors Scales, Icon Sets
  • New Rule
  • Apply Custom Data Formats
  • Using Advanced Fill Option
  • Apply Excel Functions for Data Analysis: Employ a wide array of Excel functions to analyse and interpret complex datasets, facilitating informed decision-making and insightful data analysis.
  • Conduct What-If Data Analysis: Perform What-If Analysis using scenarios and data tables to predict outcomes and make data-driven decisions in various business and research contexts.
  • Design and Customize Excel Charts: Create visually compelling and informative charts using advanced Excel features, customizing them to suit specific data presentation needs.
  • Analyse and Present Data with Pivot Tables and Charts: Construct and customize pivot tables and charts to summarize, analyse, and present large datasets in an accessible and actionable format, including the creation of comprehensive dashboards.
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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