Data Analyst : Data Analyst (Data Analytics)
Level 5 Endorsed Data Analysis Diploma | 11-in-1 Bundle | 570 CPD Points I Tutor Support | 24x7 Instant Access
One Education
Summary
- Certificate of completion (PDF) - £9
- Certificate of completion (Hardcopy) - £15
- Endorsed Certificate of Achievement from the Quality Licence Scheme (Hardcopy) - £109
- Exam(s) / assessment(s) not included in price, and must be purchased separately
- Tutor is available to students
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Overview
Data analysis is a crucial skill in today's data-driven world, and the demand for skilled data analysts in the UK is on the rise. According to the Office for National Statistics (ONS), the UK's digital economy grew by 7.9% in this year, creating numerous job opportunities in fields such as data analysis.
In Data Analysis in Excel with Analytics for Data Analysts course, you will get to learn the fundamentals of Excel data analysis. The highly informative modules will help you enhance your understanding of charts, pivot tables, pivot charts and more. You will acquire the expertise to work with multiple workbooks and worksheets. In this step-by-step learning process, you will get to grasp a better understanding of lookup functions. In addition, you will know the essentials of data forecasting, mapping data and formula auditing.
At the end of the data analysis course, you can receive QLS endorsed certificate of achievement. This certificate will allow you to enhance your resume and lift your employability. Enrol now!
- Diploma in Data Analytics with Tableau
- Data Analytics
- Google Data Studio: Data Analytics
- Big Data Analytics with PySpark Tableau Desktop and MongoDB
- Learn MySQL from Scratch for Data Science and Analytics
- Data Analysis In Excel
- Diploma in Data Analysis Fundamentals
- Business Data Analysis
- Data Science & Machine Learning with Python
- R Programming for Data Science
- Learn Python, JavaScript, and Microsoft SQL for Data science
Key Learnings:
- Ability to effectively modify and organize data within a worksheet using various formatting tools.
- Proficiency in working with lists and using data analysis techniques such as sorting, filtering, and subtotalling.
- Competency in analysing data through the use of functions, such as statistical and mathematical functions, to derive meaningful insights.
- Proficiency in creating visually appealing charts and graphs to effectively communicate data insights.
- Competency in using PivotTables and PivotCharts to efficiently summarize and analyse large sets of data.
- Proficiency in automating data analysis tasks and functions through the use of macros and other automated workbook functionalities.
Course Significant Points:
- Quality Licence Scheme Endorsed
- CPD Accredited Course
- Unlimited Retake Exam & Tutor Support
- Easy Accessibility to the Course Materials
- 100% Learning Satisfaction Guarantee
- Lifetime Access & 24/7 Support
- Self-paced online course Modules
- Covers to Explore Multiple Job Positions
How is the course assessed?
To assess your learning, you have to complete the assignment questions provided at the end of the course. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed and CPD-accredited certificates. After passing the assignment exam, you will be able to apply for a certificate.
Meet the Endorsement
The Quality Licence Scheme has been designed specifically to recognise high-quality courses. This Data Analysis with Excel course materials are recognised by Quality Licence Scheme (QLS). This ensures the deep research and quality resource allocation behind the development phase of the course. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject.
How will QLS boost your worth?
- Achieving Quality Licence Scheme endorsed certificates can provide you with valued and credible evidence of your skills and knowledge to potential employers.
- Quality Licence Scheme (QLS) endorsements are awarded to training programmes and courses that meet high quality standards, ensuring that your certificate represents a valuable achievement.
- The stringent assessment process involved in achieving Quality Licence Scheme Endorsed Certificates ensures that you have acquired the necessary skills and knowledge to excel in your chosen field.
Meet the Accreditation
CPD Quality Standards (CPD QS) accreditation assures the Data Analysis with Excel course training and learning activities are relevant, reliable, and up to date.
How Will CPD Accredited Value You?
- CPD accreditation ensures that the training programme or course you have completed has been independently reviewed and meets rigorous quality standards.
- By achieving CPD accredited certificates, you can enhance your career prospects, build your professional reputation, and stay competitive in today's job market.
Achievement
Certificates
Certificate of completion (PDF)
Digital certificate - £9
CPD Accredited PDF Certificate.
A PDF Certificate: £9
Certificate of completion (Hardcopy)
Hard copy certificate - £15
CPD Accredited Hard Copy Certificate.
A Hardcopy Certificate (within the UK): £15
A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25
Endorsed Certificate of Achievement from the Quality Licence Scheme (Hardcopy)
Hard copy certificate - £109
Data Analysis In Excel (within the UK: £109, International: £119)
CPD
Course media
Description
**Diploma in Data Analytics with Tableau**
- Introduction To The Course
- Project 1: Discount Mart (Sales And Profit Analytics)
- Project 2: Green Destinations (HR Analytics)
- Project 3: Superstore (Sales Agent Tracker)
- Northwind Trade (Shipping Analytics)
- Project 5: Tesla (Stock Price Analytics)
- Bonus: Introduction To Database Concepts
- Tableau Stories
**Data Analytics**
- Introduction To The World Of Data
- Basics Of Data Analytics
- Statistics For Data Analytics
- Actions Taken In The Data Analysis Process
- Gathering The Right Information
- Storing Data
- Data Mining
- Excel For Data Analytics
- Tools For Data Analytics
- Data-Analytic Thinking
- Data Visualisation That Clearly Describes Insights
- Data Visualisation Tools
**Google Data Studio: Data Analytics**
- Introduction
- Google Sheets
- Google Data Studio
**Big Data Analytics with PySpark Tableau Desktop and MongoDB**
- Introduction
- Setup And Installations
- Data Processing With PySpark And MongoDB
- Machine Learning With PySpark And MLlib
- Creating The Data Pipeline Scripts
- Tableau Data Visualization
- Source Code
**Learn MySQL from Scratch for Data Science and Analytics**
- Getting Started
- SQL Server Setting Up
- SQL Database Basics
- SQL DML (Data Manipulation Language)
- SQL DDL (Data Definition Language)
- SQL DCL (Data Control Language)
- SQL Statement Basic
- Filtering Data Rows
- Aggregate Functions For Data Analysis
- SQL Data Analyticstatements
- SQL Group By Statement
- JOINS
- SQL Constraints
- Views
- Advanced SQL Functions
- SQL Stored Procedures
- Import & Export Data
- Backup And Restore Database
**Data Analysis In Excel**
- Modifying A Worksheet
- Working With Lists
- Analyzing Data
- Visualizing Data With Charts
- Using PivotTables And PivotCharts
- Working With Multiple Worksheets And Workbooks
- Using Lookup Functions And Formula Auditing
- Automating Workbook Functionality
- Creating Sparklines And Mapping Data
- Forecasting Data
**Diploma in Data Analysis Fundamentals**
- Introduction
- Agenda And Principles Of Process Management
- The Voice Of The Process
- Working As One Team For Improvement
- Exercise: The Voice Of The Customer
- Tools For Data Analysis
- The Pareto Chart
- The Histogram
- The Run Chart
- Exercise: Presenting Performance Data
- Understanding Variation
- The Control Chart
- Control Chart Example
- Control Chart Special Cases
- Interpreting The Control Chart
- Control Chart Exercise
- Strategies To Deal With Variation
- Using Data To Drive Improvement
- A Structure For Performance Measurement
- Data Analysis Exercise
- Course Project
- Test Your Understanding
**Business Data Analysis**
- Introduction To Business Analysis
- Business Environment
- Business Processes
- Business Analysis Planning And Monitoring
- Strategic Analysis And Product Scope
- Solution Evaluation
- Investigation Techniques
- Ratio Analysis
- Stakeholder Analysis And Management
- Process Improvement With Gap Analysis
- Documenting And Managing Requirements
- Business Development And Succession Planning
- Planning & Forecasting Operations
- Business Writing Skills
**Data Science & Machine Learning with Python**
- Course Overview & Table Of Contents
- Introduction To Machine Learning
- System And Environment Preparation
- Learn Basics Of Python - Assignment
- Learn Basics Of Python - Functions
- Learn Basics Of Python - Data Structures
- Learn Basics Of NumPy - NumPy Array
- Learn Basics Of NumPy - NumPy Data
- Learn Basics Of NumPy - NumPy Arithmetic
- Learn Basics Of Matplotlib
- Learn Basics Of Pandas
- Understanding The CSV Data File
- Load And Read CSV Data File Using Python Standard Library
- Load And Read CSV Data File Using NumPy
- Load And Read CSV Data File Using Pandas
- Dataset Summary - Peek, Dimensions And Data Types
- Dataset Summary - Class Distribution And Data Summary
- Dataset Summary - Explaining Correlation
- Dataset Summary - Explaining Skewness - Gaussian And Normal Curve
- Dataset Visualization - Using Histograms
- Dataset Visualization - Using Density Plots
- Dataset Visualization - Box And Whisker Plots
- Multivariate Dataset Visualization - Correlation Plots
- Multivariate Dataset Visualization - Scatter Plots
- Data Preparation (Pre-Processing) - Introduction
- Re-Scaling Data
- Standardizing Data
- Normalizing Data
- Binarizing Data
- Feature Selection - Introduction
- Uni-Variate Part
- Recursive Feature Elimination
- Principal Component Analysis (PCA)
- Feature Importance
- Refresher Session - The Mechanism Of Re-Sampling, Training And Testing
- Algorithm Evaluation Techniques - Introduction
- Train And Test Set
- K-Fold Cross Validation
- Leave One Out Cross Validation
- Repeated Random Test-Train Splits
- Algorithm Evaluation Metrics - Introduction
- Classification Accuracy
- Log Loss
- Area Under ROC Curve
- Confusion Matrix
- Classification Report
- Mean Absolute Error - Dataset Introduction
- Mean Absolute Error
- Mean Square Error
- R Squared
- Classification Algorithm Spot Check - Logistic Regression
- Linear Discriminant Analysis
- K-Nearest Neighbors
- Naive Bayes
- CART
- Support Vector Machines
- Regression Algorithm Spot Check - Linear Regression
- Ridge Regression
- Lasso Linear Regression
- Elastic Net Regression
- K-Nearest Neighbors
- CART
- Support Vector Machines (SVM)
- Compare Algorithms
- Pipelines
- Performance Improvement: Ensembles - Voting
- Bagging
- Boosting
- Performance Improvement: Parameter Tuning Using Grid Search
- Performance Improvement: Parameter Tuning Using Random Search
- Export, Save And Load Machine Learning Models : Pickle
- Export, Save And Load Machine Learning Models : Joblib
- Finalizing A Model - Introduction And Steps
- Finalizing A Classification Model - The Pima Indian Diabetes Dataset
- Quick Session: Imbalanced Data Set - Issue Overview And Steps
- Iris Dataset : Finalizing Multi-Class Dataset
- Finalizing A Regression Model - The Boston Housing Price Dataset
- Real-Time Predictions: Using The Pima Indian Diabetes Classification Model
- Real-Time Predictions: Using Iris Flowers Multi-Class Classification Dataset
- Real-Time Predictions: Using The Boston Housing Regression Model
**R Programming for Data Science**
- Data Science Overview
- R And RStudio
- Introduction To Basics
- Vectors
- Matrices
- Factors
- Data Frames
- Lists
- Relational Operators
- Logical Operators
- Conditional Statements
- Loops
- Functions
- R Packages
- The Apply Family - Lapply
- The Apply Family – Sapply & Vapply
- Useful Functions
- Regular Expressions
- Dates And Times
- Getting And Cleaning Data
- Plotting Data In R
- Data Manipulation With Dplyr
**Learn Python, JavaScript, and Microsoft SQL for Data science**
- JavaScript Introduction
- JavaScript Basics
- JavaScript Operators
- JavaScript Conditional Statements
- JavaScript Control Flow Statements
- JavaScript Functions
- JavaScript Error Handling
- JavaScript Client-Side Validations
- Python Introduction
- Python Basic
- Python Strings
- Python Operators
- Python Data Structures
- Python Conditional Statements
- Python Control Flow Statements
- Python Core Games
- Python Functions
- Python Args, KW Args For Data Science
- Python Project
- Python Object Oriented Programming [OOPs]
- Python Methods
- Python Class And Objects
- Python Inheritance And Polymorphism
- Python Encapsulation And Abstraction
- Python OOPs Games
- Python Modules And Packages
- Python Error Handling
- Microsoft SQL[MS] Introduction
- MS SQL Statements
- MS SQL Filtering Data
- MS SQL Functions
- MS SQL Joins
- MS SQL Advanced Commands
- MS SQL Structure And Keys
- MS SQL Queries
- MS SQL Structure Queries
- MS SQL Constraints
- MS SQL Backup And Restore
Who is this course for?
Data Analysis course is ideal for:
- Professionals working in fields such as finance, business, and healthcare who need to analyse data and make decisions based on their findings.
- Students and researchers who want to develop their skills in data analysis and visualisation using Excel.
- Individuals who are looking to pursue a career in data analysis and want to gain a foundational understanding of Excel and its capabilities.
- Business owners and entrepreneurs who want to learn how to use Excel to analyse and interpret data for their own businesses.
- Anyone who wants to improve their data analysis skills for personal or professional purposes and gain proficiency in Excel as a tool for data analysis.
Requirements
There are no specific prerequisites to enrol in Data analysis course. Anyone and everyone can take this course.
Career path
The course will assist you in establishing a solid understanding of data analysis. After the course, you will be able to explore career options such as:
- Data Analyst (Average annual salary £35,000)
- Research Analyst (Average annual salary £28,552)
- Business Analyst (Average annual salary £42,618)
- Risk Analyst (Average annual salary £41,340)
- Financial Analyst (Average annual salary £50,300)
Questions and answers
Hello, What type of learning materials do you provide ?
Answer:Dear Godwin, Thanks for your question. The course is delivered through videos, you will also get a PDF workbook.
This was helpful.Hello. Which version of Excel do you use on this course?
Answer:Dear Sara, Thank you for your question. Microsoft Excel 2019 has been used in this course. Thanks
This was helpful.
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This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
