setting up online quickbooks and processes...quickbooks for developing an automated financial system...
TRANSCRIPT
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