1727 Analytics courses delivered Online

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Business Studies & Business Management Diploma Elevate your career with our Business Studies & Business Management Diploma. Master key concepts in Business Studies and Business Management. Lead transformative changes through advanced Business Studies and Business Management practices. Learning Outcomes: Understand fundamental theories in Business Studies and Business Management. Apply accounting principles within the scope of Business Studies and Business Management. Execute sales and distribution strategies in Business Studies and Business Management contexts. Analyze global business environments using Business Studies and Business Management frameworks. Plan and forecast operations aligned with Business Studies and Business Management principles. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Business Studies & Business Management Diploma: Business Theory Grasp core theories and models fundamental to Business Studies and Business Management practices. Accounting for Business Implement accounting techniques tailored to the specific needs of Business Studies and Business Management. Sales and Distribution Management Master sales and distribution channels in alignment with Business Studies and Business Management objectives. Business in the Global Environment Evaluate the impact of global factors on Business Studies and Business Management practices. Business Development Planning Develop and plan for business continuity and succession, guided by Business Studies and Business Management strategies. Planning and Forecasting Operations Optimise operational planning and forecasting using best practices in Business Studies and Business Management.

Data Analysis In Excel for School Administrators is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Data Analysis In Excel for School Administrators and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 5 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language numeracy and IT Desire for entrepreneurship over the age of 16. Assessment The assessment is straightforward, you need to complete the assignment questions that will be provided to you at the end of the course, you can complete the assignment anytime you want. After you complete and submit your assignment, our tutors will assess your assignment and give you feedback if needed.  After your assignment has been assessed and you have passed, you will be qualified and will be able to apply for a course completion certificate. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:06:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:13:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:08:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:06:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:13:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:09:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:09:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:06:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Financial Statements Fraud Detection Training Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Financial Statements Fraud Detection Training Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Financial Statements Fraud Detection Training Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Financial Statements Fraud Detection Training Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Financial Statements Fraud Detection Training? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Financial Statements Fraud Detection Training there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Financial Statements Fraud Detection Training course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Financial Statements Fraud Detection Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Financial Statements Fraud Detection Training was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Financial Statements Fraud Detection Training is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Financial Statements Fraud Detection Training Introduction to the Course 00:03:00 Meaning of Financial Fraud 00:05:00 Definition of Financial Statement Fraud 00:07:00 Cost of Financial Fraud 00:04:00 Who Commits Financial Fraud? 00:11:00 Conceptual Framework of Financial Statement 00:11:00 Qualitative Characteristics of Financial Statements 00:02:00 Methods of Committing Financial Statement Fraud 00:02:00 Method 1 of Financial Fraud: False Revenue Part 1 00:15:00 Method 1 of Financial Fraud: False Revenue Part 2 00:02:00 Method 2 Timing Differences 00:10:00 Method 3 Concealment of Liabilities 00:06:00 Method 4 Improper Disclosure 00:09:00 Additional Red flags for Method 4 00:02:00 Method 5 Improper Asset Valuation 00:12:00 Deterrence of Financial Fraud 00:08:00 Understanding Revenue Falsification 00:08:00 Catching Falsification of Expenses 00:08:00 Financial Frauds in Assets 00:11:00 Financial Statement Fraud in Liabilities 00:05:00 Resource Resource - Financial Statements Fraud Detection Training 00:00:00

Elevate your real estate wholesaling game with this comprehensive masterclass. From property acquisition and analysis to negotiating with sellers and reducing risk, this course is a step-by-step guide to mastering every facet of the wholesaling business.

Embark on a journey to master the multifaceted world of business with our comprehensive Business Studies course. From financial acumen to strategic analysis, and from human resources to contract law, equip yourself with the skills necessary to navigate and lead in the dynamic business landscape.

Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

Unlock a realm of transformative learning where historical strides have converged into a tapestry of methodologies that drive efficiency and excellence. This comprehensive "Six Sigma, Project Management Lean Process" bundle encapsulates the essence of industries reshaped by innovative breakthroughs. Through a harmonious fusion of strategies, you'll be equipped to refine processes, invigorate project dynamics, and cultivate leaner, more agile operations. Seamlessly integrating principles that underpin profound changes, this "Six Sigma, Project Management Lean Process" bundle package empowers you with a competitive edge. Propel your career with the potent amalgamation of this synergy, shaping your professional future with our' Six Sigma, Project Management Lean Process" bundle. 8 Digital Certificates Are Included With This Bundle Course 1: Diploma in Lean Process and Six Sigma Course 2: Advance Lean Six Sigma Black Belt Course Course 3: Lean Six Sigma: Toolkit Course 4: Project Management Course 5: Team Management Level 5 Course 6: Fundamentals of Quality Management Course 7: Process Improvement Course 8: Process Mapping: Toolkit Learning outcome Master Three Key Methodologies Optimise Operational Efficiency Lead Successful Projects Elevate Quality Standards Make Data-Driven Decisions Hone Comprehensive Problem-Solving Board on a transformative voyage into business excellence with the 'Six Sigma, Project Management Lean Process bundle. This comprehensive package empowers you with a powerhouse of methodologies that have shaped industries and revolutionised operational paradigms. Unveil the secrets of 'Six Sigma, Project Management Lean Process', a dynamic approach that synergises to propel your professional journey. Dive into the depths of Six Sigma's data-driven precision, Project Management's strategic finesse, and Lean Process's streamlined efficiency. In a rapidly evolving business landscape, mastering 'Six Sigma, Project Management Lean Process is not just an option but a necessity. The fusion of these methodologies empowers you to drive innovation, cut wastage, enhance quality, and lead projects to success while maintaining the highest standards of efficiency and excellence. Engage with real-world case studies, interactive simulations, process optimisation, project leadership, and data-driven decision-making. This transformative journey is available to you from anywhere in the world. You only need an internet connection to access the engaging content, collaborate with peers, and interact with expert instructors. Start your journey towards mastery at your own pace. The flexible nature of the Six Sigma, Project Management Lean Process bundle allows you to balance your learning with your existing commitments. CPD 90 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring project managers Quality Control Professionals Business Innovators Process Improvement Specialists Data-Driven Decision Makers Career Advancers Career path Graduates of the 'Six Sigma, Project Management Lean Process bundle are equipped with a versatile skill set that opens doors to various career paths across industries. Some of which are in the following Project Coordinator Quality Assurance Analyst Process Improvement Specialist Project Manager: Responsibilities Operations Manager Lean Six Sigma Black Belt Professional Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript: £9.99

Become an expert in Microsoft Excel with our comprehensive online training program. Learn formulas, charts, pivot tables, data analysis, macros, and more. Develop in-demand Excel skills through hands-on exercises and project work. Gain proficiency in this powerful software to advance your career or improve productivity.

About Course Unlock key insights with our comprehensive guide to market research - propel your business towards unprecedented growth Our immersive online course on Market Research provides a comprehensive exploration into the intricate art and science of understanding consumer behaviour, trends, and market dynamics. Do you want to grow your business and take it to new heights? Achieving sustainable growth requires a deep understanding of your target audience and a keen awareness of industry trends. This marketing course equips you with the knowledge and skills required to understand your target customers and their needs. We start with a brief history and definition of 'market research' before we lay out the six steps of the market research process. This course examines the classifications of market research and explains how to identify research problems to set up the market research process. We show you how to develop and design a market research approach. We also trace the relationship between market problems and research design by distinguishing between exploratory, descriptive and causal research. The course goes over data analysis techniques and discusses how to deliver effective presentations of research findings to facilitate analysis and discussion. We cover qualitative and quantitative market research methods and provide examples to help you with questionnaire design with examples of open- and closed-end questions. We demonstrate data analysis techniques to help you leverage your research findings to make better business decisions. Finally, the course explains how to communicate research results while adhering to market research ethics. This course has no prerequisites and suits anyone interested in business and marketing. It is particularly useful for small business owners, entrepreneurs and marketers and helps you to create focused marketing campaigns that connect with your audience to boost customer engagement, brand loyalty and business success. Sign up to learn how to conduct market research that lets you understand consumer behaviour, spot gaps in the market and grow your business. Whether you're a budding marketer, a business owner, or a student of the commerce field, this course offers a comprehensive and practical guide to mastering market research. Enroll now to gain the knowledge and skills that can help shape business strategies, influence product development, and drive business success. What Will You Learn? Discuss the importance of market research in supporting marketing decision-making Identify the factors that influence the decision to conduct market research Outline the key components of a market research proposal Discuss the significance of problem identification in marketing research Analyse the key characteristics and advantages of qualitative research Recognise the factors that affect the sample size and accuracy in quantitative research Identify the key components and goals of a questionnaire Explain the importance of data validation and quality control Summarise the significance of the report and presentation as key components of marketing research Discuss the ethical principles of research methodology and the importance of integrity in market research Course Content Introduction to Market Research Introduction to Market Research The Market Research Process The Market Research Process Market Research Design Market Research Design Defining the Problem & Developing Research Approach Defining the Problem & Developing Research Approach Qualitative Market Research Qualitative Market Research Quantitative Market Research Quantitative Market Research Questionnaire Design Questionnaire Design Data Analysis Data Analysis Communicating Research Results Communicating Research Results Research Ethics Research Ethics Conclusion Conclusion A course by Xpert Learning Audience Marketers Current and aspiring product managers Business executives Consultants Entrepreneurs