What is Data
Analytics?
Data analytics is the process of examining
raw data to uncover patterns, trends, and insights that inform decision-making.
For professionals, mastering data analytics is crucial as it enhances the
ability to make data-driven decisions. Furthermore, proficiency in data
analytics increases employability and potential for career advancement, making
it an essential skill in today’s data-driven industry landscape.
Why learn
Data Analytics?
Mastering data analytics equips professionals
with the skills needed to leverage data for strategic advantage in any
industry.
·
Informed
Decision-Making: Enhance the ability
to make data-driven decisions that can improve business strategies and
outcomes.
·
Competitive
Advantage: Gain insights
that can help your organization stay ahead of the competition.
·
Efficiency
Improvement: Identify
areas for cost reduction and process optimization.
·
Market
Trends: Understand and predict market trends to
better meet customer needs and preferences.
·
Career
Growth: Increase your employability and potential
for advancement in the growing field of data analytics.
Objectives of
Data Analysis Using Excel and Power BI Diploma
Data flourishes for informed decisions, it
allows organizations to measure performance in all aspects, monitor, evaluate,
and take corrective action.
Accordingly, data analysis can be seen as the
main means for business excellence and acceleration.
▪ Our
Diploma included practical training on a variety of chosen AI tools, making it
an ideal choice for anyone looking to leverage the latest techniques in data
analysis efforts.
▪ This Diploma is the ideal practical to Enhance
your Data Analysis Skills.
▪ This Diploma is a combination of The
Concept of Data Visualizations and Technical Skills to build a career future in
one of the most important fields worldwide; where most global and innovative
companies are utilizing data analysis to help make data-driven decisions using Business
intelligence solutions
▪ Our AI-driven data analysis course will
equip you with the latest techniques to extract valuable insights from your
data and inform business decisions.
You Will
Learn
Upon completing the diploma, you will: Differentiate
yourself as a Data Analyst by learning:
·
Data
Literacy:
-
Define
data and illustrate different data types.
-
Introduce
data analysis and analytics techniques, their usage, and prerequisites.
-
enable
you to participate in organization data strategy formulation.
·
Classic
Data Analysis Using Excel
-
Be
Familiar with Excel Layout & Components.
-
Get
the maximum from Excel's Different tools.
-
Master
Excel Formulas & Functions
-
Master
The Pivot Table & Charts.
·
Data
Analysis Using Excel
-
Apply
newly acquired skills to datasets using Excel to create a professional
dashboard, to that end, you will learn:
-
Connect,
Transform, and Load Data Using Power Query
-
Enhance
Data Modeling
-
Build
Data Analysis Expression [DAX] in Excel.
-
Mastering
Data Visualization in Excel & Creating a Dynamic Dashboard
·
Data
Analysis Using Power BI
Leverage
acquired skills that you have already applied in Excel to one of the most
demanded tools, to that end you will:
-
Understand
The Concept of Business Intelligent Solutions
-
Connect,
Transform, and Load Data Using Power BI
-
Working
with DAX and Advanced DAX Measures.
-
Mastering
Data Visualizing & Data Driven Decisions Using Power BI
|
SUBJECT |
TRAINING HOURS |
|
ENGLISH LANGUAGE 101 |
20 |
|
INTRODICTION TO DATA ANALYTICS |
8 |
|
DATA CLEANING IN EXCEL |
8 |
|
INTRODUCTION TO STATISTICS
|
10 |
|
DAHBOARDING IN EXCEL |
8 |
|
INTRODUCTION TO SQL 1 |
10 |
|
INTRODUCTION TO SQL 2 |
10 |
|
INTRODUCTION TO POWER BI
|
10 |
|
DATA MODELLING & DATA TRANSFORMATION |
10 |
|
INTRODUCTION TO DAX & VISUALIZATIONS WITH POWER BI |
10 |
|
DASHBOARDING, POWER BI REPORTS, DEPLOYING AND MAINTAINING ASSETS |
10 |
|
CAPSTONE PROJECT |
6 |
Registration Requirements and Necessary Documents:
1) Student's age should not be less than 17 years old and not exceed 65 years old.
2) Copy of the student's passport (if available).
3) Copy of the residence permit or national ID for the student (if available).
4) Recent personal photo of the student.
5) Student's mobile phone number.
6) Complete residential address.
7) Student's personal email address.