Data Analyst : Data Analyst (Data Analytics)

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: Microsoft Excel
• Course 3: Accounting

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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!

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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

This Data Analyst (Data Analytics) course 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 Modelling

• Components of Optimization
• Types of Optimizations
• Models and simulations
• Analyzing models

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

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

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:

1. Anyone looking for the basics of Data Analyst (Data Analytics),
2. Jobseekers in the domain of Data Analyst (Data Analytics),
3. Anyone with a ground knowledge/intermediate expertise in Data Analyst (Data Analytics),
4. Anyone looking for a certificate of completion on doing an online Data Analyst (Data Analytics) Course training,
5. Students of Data Analyst (Data Analytics), or anyone with an academic knowledge gap to bridge on Data Analyst (Data Analytics),
6. 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.

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!

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.