Do you want to master the skills of creating a successful marketing plan? If yes, then enrol now and learn how to develop and manage an effective marketing plan. Description: Everybody knows you require a strategy for the business, yet many business visionaries don't understand an advertising plan is similarly as indispensable. Not at all like a strategy for the business, a promoting strategy concentrates on winning and keeping clients; it's vital and incorporates numbers, facts and targets. The course will start with an overview of the significance of content promoting, another way to deal with showcasing on the web that will help you to wind up noticeably four times more successful than alternative approaches. We will walk you through the world of internet marketing and late changes on the web. You will learn how to create a vision and draw in the right audience for success in any endeavour the end of this course; you will be given all that you need to build up an effective marketing plan to enable you to stay aware of the greatest of organisations in your field. Who is the course for? Entrepreneurs. Small Business Owners. Marketing Managers. Product Managers. Social Media Managers. Individuals who are looking for knowledge and insights into marketing today. Individuals looking forward to starting a business. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: How to Create a Successful Marketing Plan would be beneficial for the following careers: Content marketer. Marketing manager. Business plan writer. Industry researcher. Retail sales advisor. Business coach. Module-01 Introduction 00:15:00 About Successful Marketing Plan 00:30:00 Review the Business Plan 01:00:00 Why Do You Do Comparative Studies? 00:15:00 Research Methods For Business 00:30:00 Identify Your Business Plan 00:30:00 Module-02 How To Evaluate Market Demand For Your Product? 01:00:00 Consumer Trends In Business 00:30:00 Retail & Distribution Trends 00:30:00 Marketing and Pricing 00:15:00 Analysing Your Competition 01:00:00 Set Sales Objectives 00:30:00 Module-03 Defining Your Market 00:30:00 Positioning Your Product 01:00:00 Building A Marketing Strategy 01:00:00 The Importance of Brand Naming and Packaging 00:15:00 How To Create And Implement Successfully Business Plan 00:15:00 Evaluation Your Business Plan 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
This course is designed for those already using Power BI Desktop and are ready to work with more comprehensive elements of analysing and reporting in Power BI. The course maintains a balanced look at data analysis including the Power Query Editor, with a deep dive into writing DAX formulas, and enhanced dashboard visualisations. The aim of this course is to provide a more complete understanding of the whole Power BI analytics process, by working with business examples that will equip you with the necessary skills to output comprehensive reports and explore Power BI's analytical capabilities in more depth. 1 The Query Editor Grouping rows in a table Split row by delimiter Add days to determine deadlines The query editor 2 Fuzzy Matching Joins Matching inconsistencies by percentage Matching with transformation table 3 The Query Editor M Functions Adding custom columns Creating an IF function Nested AND logics in an IF function 4 DAX New Columns Functions Including TRUE with SWITCH Using multiple conditions The FIND DAX function The IF DAX function Logical functions IF, AND, OR 5 Editing DAX Measures Making DAX easier to read Add comments to a measure Using quick measures 6 The Anatomy of CALCULATE Understanding CALCULATE filters Add context to CALCULATE with FILTER Using CALCULATE with a threshold 7 The ALL Measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentages 8 DAX Iterators Anatomy of iterators A closer look at SUMX Using RELATED with SUMX Create a RANKX RANKX with ALL 9 Date and Time Functions Overview of functions Create a DATEDIFF function 10 Time Intelligent Measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 11 Visualisations In-Depth Utilising report themes Applying static filters Group data using lists Group numbers using bins Creating heatmaps Comparing proportions View trends with sparklines 12 Comparing Variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint
Unlock the power of coding with our all-inclusive Ruby course. Whether you're starting from scratch or elevating your programming skills, this course is tailored for a seamless learning curve in Ruby 3.2.
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Course Overview: Are you ready to embark on a journey into SQL Programming? Unlock the power of data manipulation and database management with the SQL Programming Masterclass. This comprehensive course is meticulously designed throughout this masterclass to provide you with an in-depth understanding of SQL, starting from the basics and progressing to advanced topics. You will explore SQL data types, filtering and sorting data, working with functions, handle NULL values, and even diving into complex SQL concepts like joins, unions, etc. With a course duration of carefully crafted lessons, this Masterclass ensures you grasp SQL's nuances and develop the proficiency to apply these skills effectively.By the end of the SQL Programming Masterclass, you will be prepared to navigate the world of databases confidently. Enrol in this course today and start your journey! Key Features of the Course: CPD certificate upon completion 24/7 learning assistance and support Who is This Course For? This course is perfect for individuals seeking to enhance their data management and analysis skills. Whether you're a data analyst, database administrator, software developer, or professional looking to upskill, this course will empower you to harness the power of SQL programming. Prior programming experience is not mandatory, making it accessible to beginners and intermediate learners. What You Will Learn: Foundations of SQL programming: Learn the basics of SQL, database management systems, and the tools used in this course, such as PostgreSQL and SQLectron. Data manipulation: Master the art of extracting, filtering, and sorting data based on specific requirements using various SQL keywords and operators. Advanced querying techniques: Dive deeper into SQL programming by exploring functions, grouping and aggregating data, and using advanced query techniques. Data conversion and manipulation: Discover how to convert data types, concatenate strings, manipulate characters and numbers, and utilise case statements for more sophisticated queries. Joining tables: Understand the different types of joins and how to combine data from multiple tables using join operations effectively. Data modification: Learn how to insert, update, and delete records in a database, as well as manage table structures and constraints.Joining tables: Understand the different types of joins and how to combine data from multiple tables using join operations effectively. Views and schemas: Explore the concepts of views and schemas, and learn how to create and use them to organise and present data effectively. Why Enrol in This Course: Top-reviewed course: Join thousands of satisfied learners who have praised this course for its clear explanations, comprehensive content, and examples. Recently updated curriculum: Benefit from the most up-to-date information and industry best practices in SQL programming. In-demand skills: SQL programming is a highly sought-after skill in today's job market, opening up numerous career opportunities across industries. Requirements: No prior programming experience is required. All you need is a computer with an internet connection and a willingness to learn. Career Path: Upon completing the SQL Programming Masterclass, you'll have the knowledge and skills for various career paths, including: Data Analyst - Average UK salary: £35,000 per year Database Administrator - Average UK salary: £40,000 per year Business Intelligence Analyst - Average UK salary: £45,000 per year SQL Developer - Average UK salary: £40,000 per year Data Engineer - Average UK salary: £55,000 per year Software Developer - Average UK salary: £45,000 per year Data Scientist - Average UK salary: £60,000 per year Certification: Upon completing the Hygiene and Infection Control CPD Level 4 course, you will receive a CPD certificate. It demonstrates your commitment to maintaining the highest standards of hygiene and infection control. Course Curriculum 17 sections • 117 lectures • 10:47:00 total length •Introduction: 00:01:00 •Tools Used in This Course: 00:01:00 •Download PostgreSQL: 00:02:00 •Install PostgreSQL: 00:03:00 •Download SQLectron: 00:02:00 •Install SQLectron: 00:01:00 •Connect to PostgreSQL - Credentials: 00:01:00 •Connect to PostgreSQL Using SQLectron: 00:02:00 •Import Course Data Using SQLectron: 00:02:00 •FOR WINDOWS 32-BIT USERS: Download, Install, Configure & Import Data: 00:08:00 •Check Imported Data: 00:06:00 •What is a Database?: 00:01:00 •SQL Data Types: 00:02:00 •Finally Some Fun! Extracting Data Based on Requirements: 00:01:00 •Filtering Data using WHERE Keyword: 00:08:00 •Filter Data by Range Using BETWEEN: 00:03:00 •Filter Data by Set of Values Using IN: 00:03:00 •Filter Data by Date: 00:05:00 •More Filtering by Date: 00:03:00 •Another Query Filtering by Date: 00:01:00 •Filter Data by Strings: 00:04:00 •More Filtering by Strings: 00:05:00 •More Filtering by Strings 2: 00:10:00 •More Filtering by Strings 3: 00:02:00 •How to Ignore Caps when Filtering by String: 00:04:00 •AND Operator: 00:10:00 •OR Operator: 00:12:00 •NOT Operator: 00:09:00 •AND, OR & NOT Operators: Which Has the Highest Priority?: 00:06:00 •Basic Math Operations: 00:06:00 •Modulo Operator: 00:04:00 •Calculate The Net Salary for Employees: 00:06:00 •Filter Data with Math Equations: 00:03:00 •Concatenate Strings with '||' Operator: 00:06:00 •Concatenate Strings with Numbers: 00:02:00 •Give Your Report Fields A Cool Name: 00:04:00 •A Report for Payroll: 00:07:00 •Order Records by Column: 00:06:00 •Order Records by Multiple Columns: 00:12:00 •How Alias Names Cannot Be Used with WHERE: 00:02:00 •LIMIT Record Count Fetched by Your Query: 00:08:00 •Fetch A Field's Unique Values Using DISTINCT: 00:03:00 •Using DISTINCT Keyword with Multiple Columns: 00:06:00 •What is a NULL Value Anyway?: 00:05:00 •Build More Sophisticated Queries with CASE Statements: 00:10:00 •Your Knowledge So Far Under A Great Test: 00:09:00 •Let Me Introduce You to Functions: 00:04:00 •SUM Function: 00:04:00 •AVG (Average) Function: 00:04:00 •COUNT Function: 00:07:00 •MIN & MAX Functions: 00:04:00 •How To Count Your Field's Unique Values: 00:04:00 •GROUP BY Clause: Use Functions with Dimensions: 00:06:00 •GROUP BY More Than One Dimension: 00:05:00 •Now For Some Tough Workout: 00:09:00 •Filter By Aggregate Functions with HAVING Clause: 00:08:00 •Character Functions - UPPER, LOWER & INITCAP: 00:08:00 •Character Functions - CONCAT & LENGTH: 00:10:00 •Character Functions - LPAD & RPAD: 00:13:00 •Character Functions - TRIM: 00:04:00 •Character Functions - REPLACE: 00:09:00 •Character Functions - SUBSTR: 00:10:00 •Number Functions - MOD & ROUND: 00:11:00 •Number Functions - TRUNC: 00:07:00 •Selectception: A Select Query inside another Select Query!: 00:06:00 •Auto Data Conversion in SQL: 00:11:00 •Cast Date to Character: 00:10:00 •Cast Number to Character: 00:09:00 •Cast Timestamp to Character: 00:07:00 •Cast Character to Number: 00:08:00 •Cast Character to Date & Timestamp: 00:09:00 •UNION: 00:03:00 •UNION ALL: 00:02:00 •Important Note about Combining Queries: 00:02:00 •INTERSECT: 00:01:00 •EXCEPT: 00:01:00 •Employees & Departments Tables Revised: 00:03:00 •Entity Relationship Diagram (ERD): 00:09:00 •Cartesian Join: 00:09:00 •Table Aliases with Joins: 00:07:00 •Why I Don't Recommend Cartesian Joins: 00:08:00 •Inner Join: 00:06:00 •In-Depth Look into Join Types in SQL: 00:03:00 •Outer Join - Right, Left & Full: 00:08:00 •INSERT a New Record to a Table: 00:09:00 •Insert Without Specifying Column Names: 00:09:00 •UPDATE a Record's Field Values: 00:07:00 •CAUTION! How an UPDATE Query Can Go Wrong: 00:04:00 •Update a Record Using Single-Row Functions: 00:04:00 •A Good Exercise: Extract Employee's Email Address: 00:02:00 •Solution: Extract Employee's Email Address: 00:13:00 •DELETE a Table's Record: 00:06:00 •Insert Records with Nested Select Queries: 00:06:00 •SQL Data Types Revised: 00:13:00 •Bookstore Data Set: Let's Move It to Database: 00:04:00 •Create Your First Table!: 00:08:00 •Insert Data to Your New Table: 00:08:00 •Change Column Data Type: 00:07:00 •Rename Column: 00:04:00 •Add a New Column to Table: 00:04:00 •Constraints in SQL: 00:01:00 •Primary Keys: 00:14:00 •NOT NULL Constraint: 00:05:00 •UNIQUE Constraint: 00:04:00 •DEFAULT Constraint: 00:04:00 •Foreign Keys: 00:08:00 •Use Foreign Keys with Joins - Books & Publishers: 00:06:00 •Foreign Keys - Properties: 00:06:00 •Drop Column: 00:01:00 •DROP Table: 00:01:00 •Create a New Table with Select Statement: 00:05:00 •A Trick to Create an Empty Table with Select Statement: 00:03:00 •Insert New Records Using Select Statement: 00:06:00 •Views: 00:03:00 •Schemas: 00:02:00 •Create & Use Schemas: 00:04:00 •Resources - SQL Programming Masterclass: 00:00:00
Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently