Data Analysis – Advanced Excel: Analysis for Business Decisions

Data Analysis – Advanced Excel Course Overview

As the business world becomes more competitive, advancing your data analysis skills set is a decision that will keep you at the top of your career. The data analysis advance excel course covers advanced Excel techniques for collecting, presenting, describing and making inferences from sets of data. The course is suitable for individuals with good Excel skills.

Who Should Attend

  • Experienced individuals who manage data analysis activities in diverse fields
  • Working professionals seeking to change career, job or industry to data analysis related field
  • Individuals who meets the requirements and intend on starting a career in data analysis
  • Mid to senior-level executives in any sector

Handling Data in Excel

  • Learn how to search user information in a table using VLOOKUP & HLOOKUP
  • Increase readability and efficiency of a function by naming arrays
  • Group records and make logical comparisons with nested if statements
  • Find errors in data using multiple error find functions
  • Enhance search robustness using Index and match

Introduction to statistics

  • Using measures of central tendency (mean, median, mode) for predictive analysis
  • Understand how Percentiles and percentile rankings are used in value measurements and making important decisions for shareholder’s benefit.
  • Organize raw data using frequency distributions
  • Find trends and insightful observations in a business data
  • Find trend relationships of products using correlation

Financial Functions

  • Evaluate data using conditional Math Functions
  • Understand financial investment decision, Internal Rate of Return (IRR), Net Present Value (NPV) and Cash Multiple
  • Analyse financial borrowing decisions with Loan Amortization Table
  • Understand investment growth decisions with Compound Annual Growth Rate (CAGR)

Data Modelling Tools

  • How to create rank model for what if scenario predictions
  • Using Choose to toggle between business scenarios
  • Validate business goals and targets using goal seek
  • Make future business predictions using sensitivity analysis

Data Reporting

  • How charts visual perception for impactful story telling
  • Summarize and analyses data using PIVOT table
  • Sort, Filter & Slicer business data for analyzing impactful insights
  • Create dashboards for visualizing business data and storytelling with data

Using Excel Macros

  • Inserting and Formatting Text for indentation
  • Automate task using macros
  • Saving a macro–Excel File

ALADE Oladele Tunmise

A rudimentary programmer with a vast understanding of failed business and investments. I’m an autodidact, in Crypto Trading, financial modeling business development and quite recently programming. My career has cut across several roles, organizations, and sectors. At the core I’m an individual in the early stages of his career with a reasonable level of analytical reasoning, research, planning and strategy implementation.

Adeola Badmus

I am Adeola, my 15-year professional career has spanned several roles, organizations, and sectors. I served as a project manager in IntroIT Consulting, Head of Institute / Chief Operating Officer for the Institute for Advance e-Studies, I currently hold the position as the senior project consultant & marketing director for Piston & Fusion. My qualification includes MSc. In Marketing, BSc. In Business Administration, Digital Marketing, Data Analytics, PMP, PRINCE 2, NEBOSH, Level 3 Award in Education & Training. I have been privileged to attend some of the best institutions globally, University of Lagos, Lagos Business School, and University of Liverpool (UK). I am a member of AMA, PMI & IOSH. I have trained over 4000+ professionals in marketing, branding, project management, data analytics and other business related programmes.

Participants enrolling for this programme will be required to have basic computing skills. Participants who meet the programme requirement should pay the course fee and complete the enrollment form 2 weeks before the programme kick off date.

Prospective applicants who do not meet the programme requirement but wants to join the programme should should follow the process detailed below.

Application Process

  1. Start a chat with the online course adviser or complete the application form
  2. Application will be reviewed by programme committee
  3. Application acceptance will be communicated by programme committee
  4. Pay the programme fee after receiving acceptance from the committee
  5. Check your mail for programme schedule and payment confirmation

    Participant’s Experience

    Preview Course

    What is included in the Course Programme Pack

    • Practice Manual & Textbook
    • Participants workbook & Exercises
    • Templates for professional practice
    • Local & international case studies
    • Recognized Certification of Completion
    • Branded Personalized programme pack & stationaries
    • Breakfast & Lunch – Buffet Menu
    • 3 Star Accommodation (Optional – Available on Request)

    Kindly note all training materials for the Virtual Online classes will be in electronic formats (PDF & MS Word)

    Data Analysis – Avanced Excel Course Fees & Dates for  Upcoming Classroom Classes In 2021

    Piston and Fusion offer the Course as Classroom in Lagos and Virtual Online Class in other states in Nigeria. See dates and fees for classroom and virtual online class.

    Programme Information

    Course Objective: The Programme focus is to impart the skills to manage data analysis processes and the use of data analysis tools
    Classroom Fee: ₦130,000
    Weekday Date: Contact Us For Next Schedule
    Weekend Date: 4th Dec – 12th Dec 2021 | 2 Weeks: Sat & Sun| 9am – 4pm
    Location: 122a Obadina Street, Omole Phase 1 Ikeja Lagos

    Why Piston & Fusion Ranked Amongst the Best Business Institute In Nigeria?

    • We have trained 6000+ professionals
    • We have over 10 years industry experience
    • Our facilitators are experienced and certified
    • We offer post training career advice and support


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    Working hours

    Monday 9:30 am - 6.00 pm
    Tuesday 9:30 am - 6.00 pm
    Wednesday 9:30 am - 6.00 pm
    Thursday 9:30 am - 6.00 pm
    Friday 9:30 am - 5.00 pm
    Saturday Closed
    Sunday Closed