• Learn essential tools for data entry.
• Perform accurate data entry in Microsoft Word and Excel.
• Understand advanced techniques for faster processing.
• Master best practices for maintaining data accuracy.
• Build a professional portfolio for your data entry career.
• Gain confidence in managing and organizing data effectively.

• Module 01: Introduction to Data Entry and Essential Tools
• Module 02: Data Entry in Microsoft Word
• Module 03: Data Entry in Microsoft Excel
• Module 04: Advanced Data Entry Techniques and Tools
• Module 05: Data Entry Best Practices and Accuracy
• Module 06: Building Your Data Entry Career and Portfolio

• Beginners seeking foundational data entry skills.
• Professionals looking to improve data organization skills.
• Students interested in remote job opportunities.
• Freelancers wanting to enhance their service offerings.
• Job seekers aiming to qualify for office roles.
• Anyone keen to learn efficient data entry techniques.

• Data Entry Clerk – £18K to £25K/year
• Administrative Assistant – £20K to £28K/year
• Virtual Assistant – £22K to £35K/year
• Records Clerk – £18K to £27K/year
• Documentation Specialist – £25K to £40K/year

Cost: 9.99 GBP

Duration: Upto 2 Hours

• Understand the fundamentals of Microsoft SQL.
• Set up and configure the SQL Server environment.
• Write and execute SQL statements effectively.
• Filter and manipulate data using SQL operators.
• Create and manage databases and tables.
• Perform backup and restore operations.

• Module 01: Course Introduction
• Module 02: MS SQL Environment Setup
• Module 03: SQL Statement Basics
• Module 04: Filtering Data Rows
• Module 05: SQL Operators
• Module 06: GROUP BY Statements
• Module 07: JOINS
• Module 08: Advanced SQL Commands
• Module 09: Creating Database and Tables
• Module 10: Primary Key and Foreign Key
• Module 11: SQL CRUD Operations
• Module 12: MS SQL Constraints
• Module 13: Backup and Restore Functions

• This course is designed for individuals who want to deepen their knowledge of Microsoft SQL.
• It is ideal for beginners looking to start a career in database management.
• Intermediate learners seeking to refine their skills will also benefit.
• IT professionals aiming to enhance their database knowledge should consider this course.
• Anyone interested in data analysis or business intelligence will find this course valuable.

• SQL Database Administrator - £30K to £50K/year
• Data Analyst - £25K to £45K/year
• Database Developer - £30K to £55K/year
• Business Intelligence Developer - £35K to £60K/year
• Data Engineer - £40K to £70K/year

Cost: 9.99 GBP

Duration: Upto 8 Hours

• Understand Excel worksheet modifications.
• Work efficiently with lists for data management.
• Analyse and interpret data accurately.
• Create visual representations using charts.
• Utilize PivotTables and PivotCharts for insights.
• Automate tasks and forecast data trends.

• Module 1: Modifying a Worksheet
• Module 2: Working with Lists
• Module 3: Analysing Data
• Module 4: Visualizing Data with Charts
• Module 5: Using PivotTables and PivotCharts
• Module 6: Working with Multiple Worksheets and Workbooks
• Module 7: Using Lookup Functions and Formula Auditing
• Module 8: Automating Workbook Functionality
• Module 9: Creating Sparklines and Mapping Data
• Module 10: Forecasting Data

Cost: 9.99 GBP

Duration: Upto 5 Hours

• Understand SQL basics and setup.
• Create and manipulate SQL databases.
• Filter and aggregate data using SQL.
• Utilize JOINS for comprehensive data analysis.
• Visualize data insights with Azure Data Studio.
• Import, export, backup, and restore databases effectively.

• Section 01: Getting Started
• Section 02: SQL Server Setting Up
• Section 03: SQL Azure Data Studio
• Section 04: SQL Database Basic SSMS
• Section 05: SQL Statements For DATA
• Section 06: SQL Data Structure Statements
• Section 07: SQL User Management
• Section 08: SQL Statement Basic
• Section 09: Filtering Data Rows
• Section 10: Aggregate Functions
• Section 11: SQL Query Statements
• Section 12: SQL Group By Statement
• Section 13: JOINS For Multiple Table Data Analysis
• Section 14: SQL Constraints
• Section 15: Views
• Section 16: Advanced SQL Commands
• Section 17: SQL Stored Procedures
• Section 18: Azure Data Studio Visualization
• Section 19: Azure Studio SQL For Data Analysis
• Section 20: Import & Export Data
• Section 21: Backup And Restore Database

Cost: 9.99 GBP

Duration: Upto 7 Hours

• Understand the Fundamentals of Data Management and Governance
• Effectively Integrate Data Architecture with Modern Technologies
• Implement Data Management Strategies
• Master Key Data Management Skills
• Navigate Advanced Data Management Topics

• Data management: relation with DAMA-DMBOK and the role of data governance
• Introduction of knowledge areas
• Data architecture: business, functional and technical architecture and the relation with enterprise and application architecture
• Data architecture in relation with big data, data lakes, Data Warehouses (DWH), data virtualization and analytics/data science
• Positioning, coherence and added value of the business and IT
• Examples, use cases

• The new role of data: ‘data as an asset’
• Action plans for implementation based on context diagrams
• DMBOK as framework: backgrounds
• Introduction and in-depth discussion of knowledge areas metadata, reference & master data, Data Warehousing (DWH) & Business Intelligence (BI)

• Introduction and in-depth discussion of data modelling and design, data quality, data integration, storage, security

• Introduction and in-depth discussion of documents and content management, big data and data science, data privacy and ethics
• Introduction and application of the DAMA Data Management Maturity Model
• CDMP exam preparation

Cost: 4760 USD

Duration: 4 Days

• Implement encapsulation
• Implement inheritance including visibility modifiers and composition
• Implement polymorphism
• Override hashCode, equals, and toString methods from Object class
• Create and use singleton classes and immutable classes
• Develop code that uses static keyword on initialize blocks, variables, methods, and classes

• Develop code that uses abstract classes and methods
• Develop code that uses the final keyword
• Create inner classes including static inner class, local class, nested class, and anonymous inner class
• Use enumerated types including methods, and constructors in an enum type
• Develop code that declares, implements and/or extends interfaces and use the @Override annotation.
• Create and use Lambda expressions

• Create and use a generic class
• Create and use ArrayList, TreeSet, TreeMap, and ArrayDeque objects
• Use and interfaces
• Collections Streams and Filters
• Iterate using forEach methods of Streams and List
• Describe Stream interface and Stream pipeline
• Filter a collection by using lambda expressions
• Use method references with Streams

• Use the built-in interfaces included in the package such as Predicate, Consumer, Function, and Supplier
• Develop code that uses primitive versions of functional interfaces
• Develop code that uses binary versions of functional interfaces
• Develop code that uses the UnaryOperator interface

• Develop code to extract data from an object using peek() and map() methods including primitive versions of the map() method
• Search for data by using search methods of the Stream classes including findFirst, findAny, anyMatch, allMatch, noneMatch
• Develop code that uses the Optional class
• Develop code that uses Stream data methods and calculation methods
• Sort a collection using Stream API
• Save results to a collection using the collect method and group/partition data
• using the Collectors class
• Use flatMap() methods in the Stream API

• Use try-catch and throw statements
• Use catch, multi-catch, and finally clauses
• Use Autoclose resources with a try-with-resources statement
• Create custom exceptions and Auto-closeable resources
• Test invariants by using assertions

• Create and manage date-based and time-based events including a combination of date and time into a single object using LocalDate, LocalTime, LocalDateTime, Instant, Period, and Duration
• Work with dates and times across timezones and manage changes resulting from daylight savings including Format date and times values
• Define and create and manage date-based and time-based events using Instant, Period, Duration, and TemporalUnit

• Read and write data from the console
• Use BufferedReader, BufferedWriter, File, FileReader, FileWriter,
• FileInputStream, FileOutputStream, ObjectOutputStream, ObjectInputStream, and PrintWriter in the package.

• Use Path interface to operate on file and directory paths
• Use Files class to check, read, delete, copy, move, manage metadata of a file or directory
• Use Stream API with

• Create worker threads using Runnable, Callable and use an ExecutorService to concurrently execute tasks
• Identify potential threading problems among deadlock, starvation, livelock, and race conditions
• Use synchronized keyword and package to control the order of thread execution
• Use collections and classes including CyclicBarrier and CopyOnWriteArrayList
• Use parallel Fork/Join Framework
• Use parallel Streams including reduction, decomposition, merging processes, pipelines, and performance.

• Describe the interfaces that make up the core of the JDBC API including the Driver, Connection, Statement, and ResultSet interfaces and their relationship to provider implementations
• Identify the components required to connect to a database using the DriverManager class including the JDBC URL
• Submit queries and read results from the database including creating statements, returning result sets, iterating through the results, and properly closing result sets, statements, and connections

• Read and set the locale by using the Locale object
• Create and read a Properties file
• Build a resource bundle for each locale and load a resource bundle in an application 

Cost: 2160 GBP

Duration: 24 Days

• Declare and initialize variables (including casting of primitive data types)
• Differentiate between object reference variables and primitive variables
• Know how to read or write to object fields
• Explain an Object's Lifecycle (creation, "dereference by reassignment" and garbage collection)
• Develop code that uses wrapper classes such as Boolean, Double, and Integer

• Use Java operators; use parentheses to override operator precedence
• Test equality between Strings and other objects using == and equals ()
• Create if and if/else and ternary constructs
• Use a switch statement
• Creating and Using Arrays
• Declare, instantiate, initialize and use a one-dimensional array
• Declare, instantiate, initialize and use multi-dimensional arrays

• Create and use while loops
• Create and use for loops including the enhanced for loop
• Create and use do/while loops
• Compare loop constructs
• Use break and continue

• Create methods with arguments and return values; including overloaded methods
• Apply the static keyword to methods and fields
• Create and overload constructors; differentiate between default and user-defined constructors
• Apply access modifiers
• Apply encapsulation principles to a class
• Determine the effect upon object references and primitive values when they are passed into methods that change the values

• Describe inheritance and its benefits
• Develop code that makes use of polymorphism; develop code that overrides
• methods; differentiate between the type of a reference and the type of an object
• Determine when casting is necessary
• Use super and this to access objects and constructors
• Use abstract classes and interfaces

• Differentiate among checked exceptions, unchecked exceptions, and Errors
• Create a try-catch block and determine how exceptions alter normal program flow
• Describe the advantages of Exception handling
• Create and invoke a method that throws an exception
• Recognize common exception classes (such as NullPointerException,
• ArithmeticException, ArrayIndexOutOfBoundsException, ClassCastException)

• Manipulate data using the StringBuilder class and its methods
• Create and manipulate Strings
• Create and manipulate calendar data using classes from
• , , , ,
• Declare and use an ArrayList of a given type
• Write a simple Lambda expression that consumes a Lambda Predicate expression 

Cost: 900 GBP

Duration: 10 Weeks