Registration deadline extended to 24th

of January 2020.

Training Starts 25th of January 2020 - 4 Saturdays - 4 hours each

COURSE BREIF CONTENT OF THE TRAININGS

QuickBooks for Developing an Automated Financial System on the QuickBooks Platform

Beginners

USD Using the System developed to capture every activity of the Business day to day Transactions

$100.00

Reports handling: Customizing, Memorizing, Converting & Exporting Report produced from the

system; QuickBooks files Maintenance and Troubleshooting

QuickBooks for

Advanced Users

USD

$200.00

Note: Only

Certified QuickBooks

Users are Qualified for the

advanced Training.

Any exceptions, you will have to

sit our assessment

Exam.

Setting up Online QuickBooks and processes

Maintenance of QuickBooks files

Working with different versions of QuickBooks

Multi-Currencies Handling

Framing Company file using the IIF files for Exports & Imports

Converting Desktop QuickBooks Company files to Online QuickBooks for easy access from any

part of the world.

Networking Desktop QuickBooks company file for multi-users

Configurations & Deployments

Batch Transactions Posting

Trouble Shooting Techniques

Advanced Inventories setup

Point of Sales (POS) Setup

Barcoding Inventories for proper tracking and easy sales

1st Street, Sinkor – opposite United Nationals Headquarters

We have the competence to provide you quality training!

Our Trainers are Intuit Certified!

Excel for Data Analysis: Basic to Expert Level.

This Course outline is meant to be used as a guide to our Macro-oriented practice workbooks purposely designed by our ; to provide detail understanding for expertseach item listed in the course outline. These workbooks will be issued to participants immediately after registration, via email.

Each of our Macro-Oriented workbooks contains a step-by-step drill that will ease your learning and enhance your practical hands on skill with important Excel Formula Tricks. The usage of each training workbook will be explained in class.

At the end of the training, Participants will be given additional two sets of workbooks (one for the purpose to evaluate participant’s skills in Data Analytics and the other, to assess participant's ability to develop a Financial Model). Each Participant shall compile his/her project work results, into a Micro-Oriented Workbook for easy presentation and easy access by our Evaluation Team.

A Certificate of Certified Advanced Microsoft Excel User shall be awarded to

participant after the evaluation of project works submitted.

Learn how to use Excel for data analysis to an expert level and be able to apply this practical skill in any field.

What you will learn: Use main file types depending on

data’s original format and protect

your spreadsheet when sharing

it.

Store data in workbooks

consisting of one of more

worksheets which can be created

according to your requirements.

Navigate worksheets by

identifying cells as intersections

of columns and rows while

grouping them in ranges.

Move quickly through working

space by using keyboard short-

cuts and specific key-tips.

Perform data operations with

basic arithmetic formulas, main

categories’ built-in functions and

arrays.

Correct formula errors and

perform input validation when

interacting with users.

Visualize data through

conditional formatting, general

Starts January 20, 2020 2 hours Daily

3 Sections (from 10:am - 7: pm)

and specific chart types, and

single-cell spark-lines.

Organize data interactively using

tables and pivot tables while you

sort and filter it according to your

needs.

Implement future scenarios

through what-if analysis and find

value for achieving certain

formula result through goal seek.

Analyze data with add-in

packages to identify trends by

spotting a signal and minimizing

the noise.

Summarize descriptive statistics

of your data and provide a

frequency histogram of these

observations.

Evaluate correlation and

causation between explained and

explanatory variables.

Simulate random numbers based

on pre-defined or user-defined

probability distribution

functions.

Optimize formula result with

solver add-in by determining

changing variables and their

constraints.

Requirements Course is done with Microsoft Excel 2010. Easy compatibility with older and

newer software versions. Some features are not available in older ones. Course Excel data file provided by instructor.

NO previous Excel knowledge is required.

Description Learn Excel for data analysis from basic to expert level and be able to apply this practical skill in any field. It explores spreadsheet software’s most relevant features which will help you become an expert as beginner, achieve proficiency as basic user or polish skills and finish learning curve as an intermediate one. All of this while using real-world data together with practical exercises done step-by-step.

Become an Expert in Excel for data analysis by learning its most relevant features.

Use main file types and their options. Store data in worksheets within workbooks.

Navigate worksheets’ cells quickly by using keyboard short-cuts.

Perform data operations with formulas and built-in functions. Visualize data through conditional formatting and charts.

Organize data interactively with tables and pivot tables.

Implement scenarios with what-if analysis.

Analyze data with statistical and probabilistic add-in tools.

Optimize formula results with solver add-in.

Achieve Excel for data analysis proficiency and be able to apply it in any field. Learning Excel is essential for any professional or academic career based on data analysis. It is the most commonly used data analysis software both professionally and academically and it’s a solid foundation before learning any other.

But as learning process can become difficult as complexity grows, this course helps by leading you through step-by-step real-world practical exercises for greater effectiveness.

Content and Overview This course contains 39 lectures and 6.5 hours of content. It’s designed for all Excel knowledge levels and no previous familiarity is required. At first, you’ll learn how to use main file types depending on data format and how to protect it when sharing. Then you’ll study how to store data in workbooks containing one or more worksheets and their navigation by identifying cells as intersection points of columns and rows. This can be done quicker when using keyboard short-cuts.

After that, you’ll perform data calculations with formulas and built-in functions, correct any errors in them, and perform input validation when interacting with users. Next, you’ll visualize data with conditional formatting and charts. You’ll organize it interactively with tables and pivot tables which can be sorted and filtered.

Later, you’ll implement scenarios with what-if analysis. You’ll also do data analysis through statistical and probabilistic add-in tools such as identifying trends, deliver descriptive statistics and frequency histograms, evaluate correlation and causation between explained and explanatory variables, and simulate random numbers with pre-defined or user-defined probability distribution functions. Finally, you’ll optimize a formula’s result using solver add-in by defining changing variables and their constraints.

Who this course is for: Users with no previous knowledge who want to achieve an expert level in Excel

for data analysis. Basic users who want to take the next steps in Excel for data analysis proficiency.

Intermediate users who want to polish their Excel for data analysis skills and complete the learning curve.

Power Query is an amazing data tool for Excel! It is built by Microsoft to help you

import, transform, and automate your data processes.

Excel File

Excel File Overview Preview

File Options

Workbook

Worksheet

Cell

Range

Keyboard Shortcuts

Formulas and Functions

Formulas and Functions Overview

Formulas

Functions

Date & Time Functions

Financial Functions

Logical Functions

Lookup & Reference Functions

Mathematic & Trigonometric Functions

Statistical Functions

Text Functions

Array Formula

Formula Errors

Define Range Name

Data Validation

Data Analysis

Data Analysis Overview

Sorting and Filtering

Conditional Formatting

Chart Types

Tables and Pivot Tables

What-If Analysis

Data Analysis Tools Package (Trends)

Data Analysis Tools Package (Statistics and Probability)

Data Analysis Tools Package (Correlation and Causation)

Data Analysis Tools Package (Random Number Generation)

Solver Add-In