Data Analyst : Data Analyst (Data Analytics)

Summary Overview Description Who is this course for? Requirements Career path

Data Analyst : Data Analyst (Data Analytics)

Price

£45.00

Save 44%

Offer ends 31 May 2025

Study method	Online
Duration	10 Hour(s)
Access to content	Lifetime access
Qualification	No Formal Qualifications
CPD	10 CPD hours / points CPD
Achievement	Endorsed by
Certificates	Hardcopy Certificate - Free PDF Certificate - Free
Additional info	Exam(s) / assessment(s) is included in price
Tutor Support	Tutor is available for students

Overview

This Data Analyst (Data Analytics) specialisation comes with some of our best selling courses on topics relevant to the field of Data Analyst (Data Analytics). The Data Analyst (Data Analytics) course comes to you with FREE PDF Certificates. Courses offered in this Data Analyst (Data Analytics) specialisation are:

Course 1: Data Analysis
Course 2: Accounting
Course 3: Microsoft Word
Course 4: Microsoft Excel

With the ever-increasing demand for Data Analyst (Data Analytics) in personal & professional settings, this Data Analyst (Data Analytics) bundle aims at educating, nurturing, and upskilling individuals to stay ahead of the curve — whatever their level of expertise in Data Analyst (Data Analytics) may be. After gathering impeccable responses & positive feedback on different online platforms, we have brought this specialisation titled Data Analyst (Data Analytics) to Reed with only one goal — ensuring jobseekers & up-and-coming professionals upgrade themselves and achieve their career objectives. Add this Data Analyst (Data Analytics) online training to your basket and make the best investment of your life right now.

Learning about Data Analyst (Data Analytics) or keeping up to date on it can be confusing at times, and maybe even daunting! But that’s not the case with this Data Analyst (Data Analytics) bundle from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Data Analyst (Data Analytics). That’s why we’ve developed the Data Analyst (Data Analytics) courses bundle in a way that caters to learners with different goals in mind. The course materials of this Data Analyst (Data Analytics) bundle are prepared with consultation from Data Analyst (Data Analytics) experts and all the information on Data Analyst (Data Analytics) is kept up to date on a regular basis so that learners don’t get left behind on the current trends/updates on Data Analyst (Data Analytics).

The self-paced online learning methodology by Compete High in this Data Analyst (Data Analytics) bundle helps you learn more about Data Analyst (Data Analytics) whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons of this Data Analyst (Data Analytics) bundle training are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the Data Analyst (Data Analytics) specialisation!

Instead of searching for hours, enrol right away on this Data Analyst (Data Analytics) course from Compete High and accelerate your career in the right path with expert-outlined lessons on Data Analyst (Data Analytics) and a guarantee of success in the long run.

Key Highlights of What You Will Get When Taking Data Analyst (Data Analytics) Course With Compete High

A FREE PDF Certificate upon successful completion of the Data Analyst (Data Analytics) bundle as proof of your newly acquired skills
Complete access for life to the comprehensive Data Analyst (Data Analytics) training materials
Online test that gives instant results on the Data Analyst (Data Analytics) course
Get tutor support from Monday to Friday with the Data Analyst (Data Analytics) course during the work hour
The Data Analyst (Data Analytics) specialisation is self-paced and you can study and complete it according to your convenience
Study the Data Analyst (Data Analytics) courses, with 24/7 help or advice from our email and live chat teams
Study the Data Analyst (Data Analytics) course from any device with internet connection like your computer, tablet, or mobile device

Description

This Data Analyst (Data Analytics) bundle will deepen your understanding of principles, styles and functions of Data Analyst (Data Analytics).

Data Analyst (Data Analytics) - Curriculum

Data Analysis: Module 01 – Introduction to Data Analysis & its Applications

Introduction
Methods
Statistics
Models
Softwares

Data Analysis: Module 02 – Probability & Probability Distributions

Probability essentials
Rules of Probability
Probability conditions and events
Mean and Variance

Data Analysis: Module 03 – Decision making & Factors to account for

Decision analysis
Value of information
Risk and Utility

Data Analysis: Module 04 – Data Mining

Analytical processing
Data Exploration and Visualization
PowerPivot and Excel
Classification

Data Analysis: Module 05 – Optimization & Situation Modeling

Components of Optimization
Types of Optimizations
Models and simulations
Analyzing models

Accounting: Module 1 – Grasping Bookkeeping and Accounting Basics

Simple knowledge of Bookkeeping and Accounting
Identifying the differences between Bookkeeping and Accounting
Objectives of Accounting
Accounting Cycle
Fundamental Accounting Equation

Accounting: Module 2 – Choosing an Accounting Method

Accounting Concepts
Accounting Framework
Distinguishing between Cash and Accrual Basis
Considering the Conceptual Framework of Financial Accounting
Accounting Standards

Accounting: Module 3 – Keeping the Books

Analyzing the Effect of Business Transactions
Managing Your Bookkeeping and Accounting System
End of Period Procedures

Accounting: Module 4 – Tracking Purchases

Keeping Track of Inventory
Accounts Payable
Accounts Receivable
The Journal
Advantages of Journal
Sub-Division of Journal
The General Ledger
Ruling of Ledger Account
Sub-division of Ledger
Distinction between Journal and Ledger
Cash Management

Accounting: Module 5 – Counting Your Sales

Taking in cash
Discovering the ins and outs of credit
Proving Out the Cash Register
Tracking Sales Discounts
Recording Sales Returns and Allowances
Monitoring Payments due
Accepting Your Losses

Accounting: Module 6– Presenting Financial Condition & Business Valuation

Define Financial Condition and its Types
Clarifying the Values of Assets in Balance Sheets
Introducing Business Valuation
Comparing Business Valuation Methods

Accounting: Module 7 – Analyzing Financial Statements

What is Financial Statement Analysis?
Benefits of Accurate Financial Statement Analysis
Steps to developing an effective analysis of financial statements.
Judging Solvency and Liquidity
Understanding That Transactions Drive the Balance Sheet
Measuring Profitability
Exploring Activity Measures
Comparing Horizontal and Vertical Analysis

Microsoft Word: Module 01 – Introduction to Microsoft Word?

Basics of Word
User Interface
Create and Manage documents

Microsoft Word: Module 02 – Formatting text of a Modern Document

Enter and edit text
Modify structure and appearance of text
Format and style text

Microsoft Word: Module 03 – Enhancing a document’s contents

Format text into lists, columns & tables
Add visual elements
Format and organize lists and tables

Microsoft Word: Module 04 – Basic Graphics tools

Inserting Pictures, Shapes, Charts and Diagrams
Modifying Charts & Diagrams
Formatting text and pictures in Shapes, Charts and Diagrams

Microsoft Word: Module 05 – Presenting a Document

Page backgrounds
Background Watermarks

Headers, Footers, and Page numbers

Microsoft Word: Module 06 – Reviewing and Finalizing Documents

Reorganize document outlines
Arrange objects on a page
Bookmarks and cross-references
Table of contents, Indexes
Citing sources and compiling bibliographies

Microsoft Excel: Module 1 - Excel Interface

Columns
Rows
The Ribbon
Dialog Box Launcher
Contextual Tab
Customising the Ribbon
Quick Access Toolbar Menu
Tell Me and Smart Lookup
All Charts
The Smart Lookup Tool
The File Tab
Backstage

Microsoft Excel: Module 2 - Basic Functions

Entering Text
Long Words and Numbers
Completing a Series
Selecting Multiple Cells
Moving Text and Numbers
Copying Data
Insert a Row or Column
Delete a Row or Column
Changing Column Width and Row Height
Formatting Numbers
Formatting Text and Numbers
Changing the Font
Borders
Graphics

Microsoft Excel: Module 3 - Working with worksheet

Set up a workbook
Explore the editions of Excel 2016
Create workbooks
Modify workbooks
Modify worksheets
Zoom in on a worksheet
Arrange multiple workbook windows

Microsoft Excel: Module 4 - Work with data and Excel tables

Enter and revise data
Manage data by using Flash Fill
Find and replace data
Correct and expand upon data
Define Excel tables

Microsoft Excel: Module 5 - Basic Calculations

Basic Terms in Excel
Seven Basic Excel Formulas
SUM
AVERAGE
COUNT
COUNTA
IF
TRIM
MAX & MIN

Microsoft Excel: Module 6 - Shortcuts in Excel

Keyboard Shortcuts in Excel
Paste as Values With “Paste Special”
Sum Numbers with AutoSum
Fill the next cell with the Fill Down formula
Insert and Delete Row or Column
Insert and Edit Comment
Move Between Sheets
Add Filters
Freeze Rows and Columns
Adjust Column Width
The Last Task
Insert Line Breaks in a Cell
Move Between Different Workbooks
Spell-Check

Who is This Course For

While we refrain from discouraging anyone wanting to do this Data Analyst (Data Analytics) bundle or impose any sort of restrictions on doing these online trainings on Data Analyst (Data Analytics), people meeting any of the following criteria will benefit the most from this Data Analyst (Data Analytics) training:

Anyone looking for the basics of Data Analyst (Data Analytics),
Jobseekers in the domain of Data Analyst (Data Analytics),
Anyone with a ground knowledge/intermediate expertise in Data Analyst (Data Analytics),
Anyone looking for a certificate of completion on doing an online Data Analyst (Data Analytics) Course training,
Students of Data Analyst (Data Analytics), or anyone with an academic knowledge gap to bridge on Data Analyst (Data Analytics),
Anyone with a general interest/curiosity in Data Analyst (Data Analytics)

Certification for this Data Analyst (Data Analytics) specialisation

After successful completion of the Data Analyst (Data Analytics) bundle, learners can ask for a PDF certificate of completion for free. If they wish to get a Certificate of Achievement for this Data Analyst (Data Analytics) training, they need to take an assessment or assignment and pass it. Upon passing the evaluation, they can ask for a PDF Certificate of Achievement on Data Analyst (Data Analytics) for FREE.

Evaluation of the Data Analyst (Data Analytics) Training

After completing the Data Analyst (Data Analytics) bundle, you can take an assignment that can be done at your own pace. After completing the assignment on Data Analyst (Data Analytics), you will have to send it for evaluation. Our experts will evaluate your work on the Data Analyst (Data Analytics) assignment and give us results within a week. If you pass the evaluation for the Data Analyst (Data Analytics) bundle, you will receive the PDF Certificate of Achievement for the Data Analyst (Data Analytics) Training.

Requirements

The Data Analyst (Data Analytics) specialisation offered by Compete High has no formal entry requirements. However, to study the Data Analyst (Data Analytics) courses students must:

Have passion for learning
Have a good understanding of English, as well as numeracy and IT skills
Have a desire for Data Analyst (Data Analytics)
Be over the age of 16

If you meet these criteria, you can start studying the Data Analyst (Data Analytics) courses straight away!

Career Path

This Data Analyst : Data Analytics bundle smoothens the way up your career ladder with relevant information, skills & certificate of achievement. After successfully completing this Data Analyst courses, you can expect to move significantly closer to achieving your goals — whether it’s securing the job you seek, getting the promotion you deserve, or setting up that business of your dreams.

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