184 Marketing Analytics courses

Sports Marketing course will teach you how to use marketing principles to gain a better understanding of the sports industry and how to capitalize on it.

Explore the diverse landscape of People Analytics, delving into data sources, cleaning methodologies, and statistical measures. Embrace the importance of ethical considerations and real-world applications, culminating in a comprehensive understanding of this evolving field. This course equips you with the skills to navigate People Analytics effectively. Learn to identify and leverage various data sources, apply cutting-edge data analysis techniques, and address challenges associated with ethical considerations, biases, and small sample sizes. Bridge theory with practicality through real-world examples and case studies. After the successful completion of this course, you will be able to: Identify the Different Data types and Sources used in People Analytics. Explain the Importance of Data Cleaning and Preparation in People Analytics. Apply Data Analysis Techniques, and Interpret Statistical Measures Used in People Analytics. Recognise the Challenges Associated with Collecting and Analysing People-Related Data and Formulate Strategies for Addressing the Challenges. Understand the Ethical Considerations Associated with Collecting and Analysing People-Related Data Such as Informed Consent and Confidentiality This course equips you with the essential skills to gather, clean, and analyze people-related data, transforming it into actionable insights that empower better HR decisions and ultimately, business success. You'll gain hands-on experience with data visualization tools, statistical analysis techniques, and practical strategies for tackling common challenges. By delving into real-world case studies and ethical considerations, you'll graduate with the confidence and expertise to champion data-driven HR initiatives that unlock the full potential of your workforce. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Data Collection and Analysis for People Analytics Self-paced pre-recorded learning content on this topic. Data Collection and Analysis for People Analytics Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. People Analytics Specialist HR Data Analyst Workforce Insights Manager Employee Experience Analyst HR Research Consultant Talent Analytics Strategist Data-driven HR Manager Organizational Behavior Analyst Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

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Data Analysis: Data Analysis Course Would you like to acquire the skills and self-assurance necessary to make wise choices and successfully traverse the intricate and ever-changing realm of data analysis? Enrol in our Data Analysis Course. The fundamentals of data, statistics, and an introduction to data analysis are all covered in this data analysis course. The how-to of data collection and its sources are explained in the Data Analysis Course. This Data Analysis Course teaches preprocessing, data cleansing, and exploratory data analysis (EDA). An overview of Excel and Python for data analysis is explained in this Data Analysis Course. This extensive Data Analysis course includes lessons on data wrangling with Pandas (Python) and data visualisation using Matplotlib and Seaborn (Python). So, quickly join our Data Analysis Course to learn the fundamentals of machine learning and statistical analysis! Special Offers with free gifts for this Data Analysis: Data Analysis Course This Data Analysis Course course includes a FREE PDF Certificate. Lifetime access to this Data Analysis Course course Instant access to this Data Analysis Course course Get FREE Tutor Support to this Data Analysis Course Course Learning Outcome of Data Analysis Course This Data Analysis Course will help you learn about: Introduction to data analysis, basics of data, and statistics. Data Analysis Course explains how to collect data and its sources. Data cleaning, processing, and exploratory data analysis (EDA) are included in this Data Analysis Course. This Data Analysis Course describes an introduction to Excel for Data Analysis and Python for Data Analysis. Data Wrangling with Pandas (Python) and Data Visualisation with Matplotlib and Seaborn (Python) are parts of this comprehensive Data Analysis Course. With the help of this Data Analysis Course, you will learn the basics of statistical analysis and machine learning. Data Analysis: Data Analysis Course Embark on a transformative journey with our Data Analysis course, designed for beginners. Dive deep into the world of data analysis, mastering essential techniques and tools. Gain practical skills in Data Analysis, empowering you to unlock insights and drive informed decisions. Start your Data Analysis journey today! Who is this course for? Data Analysis: Data Analysis Course Anyone looking to have a thorough grasp of data analysis in a commercial setting should take this Data Analysis: Data Analysis Course. Requirements Data Analysis: Data Analysis Course To enrol in this Data Analysis: Data Analysis Course, students must fulfil the following requirements. To join in our Data Analysis: Data Analysis Course, you must have a strong command of the English language. To successfully complete our Data Analysis: Data Analysis Course, you must be vivacious and self driven. To complete our Data Analysis: Data Analysis Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Data Analysis: Data Analysis Course. Career path Data Analysis: Data Analysis Course With the assistance of this Data Analysis Course, you can obtain work as a data analyst, business analyst, marketing analyst, or in related fields.

This Professional Certificate Course in Data Collection and Analysis offers a holistic understanding of best practices, covering digital data organization, analytics tool utilization, and effective data visualization. Participants will master strategies for collecting diverse digital channel data and gain skills in analyzing and interpreting insights for informed decision-making. After the successful completion of the course, you will be able to learn about the following: Best practices for collecting and organizing digital data How to use digital analytics tools to analyze data and gain insights Data visualization techniques and tools for presenting data effectively Strategies for collecting data from different digital channels, including social media, email, and mobile apps Best practices for analyzing and interpreting data to drive actionable insights This Professional Certificate Course in Data Collection and Analysis offers a comprehensive understanding of best practices in collecting and organizing digital data. Participants will learn to utilize digital analytics tools, master data visualization techniques, and employ strategies for collecting data from diverse digital channels, including social media and mobile apps. The course emphasizes interpreting data to derive actionable insights, empowering learners with practical skills for informed decision-making. This Professional Certificate Course in Data Collection and Analysis provides a comprehensive understanding of best practices in collecting, organizing, and analyzing digital data. Participants will learn to utilize digital analytics tools, master data visualization techniques, and develop strategies for collecting data from various digital channels, including social media and mobile apps. The course emphasizes interpreting data to derive actionable insights, empowering individuals with practical skills for informed decision-making. Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Data Collection and Analysis Self-paced pre-recorded learning content on this topic. Data Collection And Analysis Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course.The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience, Data Analysts and Scientists Marketing Professionals Business Intelligence Specialists Digital Marketing Managers Researchers and Academics Information Technology Professionals Decision-makers and Strategists Social Media Managers Mobile App Developers Email Marketing Specialists Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Course Description Get instant knowledge from this bite-sized Strategic Planning and Analysis for Marketing Part - 2 course. This course is very short and you can complete it within a very short time. In this Strategic Planning and Analysis for Marketing Part - 2 course you will get fundamental ideas of strategic planning and analysis for marketing, the key understanding of segmentation, targeting and so on. Enrol in this course today and start your instant first step towards learning about external analysis. Learn faster for instant implementation. Learning Outcome Familiarise with external analysis Understand market segmentation, targeting and positioning Gain in-depth knowledge of the approaches to customer analysis Deepen your understanding of approaches to competitor analysis How Much Do Marketing Managers Earn?  Senior - £68,000 Average - £49,000 Starting - £35,000 Requirement Our Strategic Planning and Analysis for Marketing Part - 2 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Strategic Planning and Analysis for Marketing Part - 2 Module 01: External Analysis 00:24:00 Module 02: Market Segmentation, Targeting and Positioning 00:16:00 Module 03: Approaches to Customer Analysis 00:22:00 Module 04: Approaches to Competitor Analysis 00:25:00 Assignment Assignment - Strategic Planning and Analysis for Marketing Part - 2 00:00:00

🚀 Unlock Your Business Potential: Maximizing Performance Through Facebook Analytics Online Course! 🚀 Are you tired of navigating the complex world of Facebook advertising without seeing the results you crave? Do you wish there was a roadmap to guide you through the maze of data and insights? Look no further - our cutting-edge online course, 'Maximizing Performance Through Facebook Analytics,' is your key to unlocking the true potential of your business on the world's largest social media platform!   🌐 Why Facebook Analytics? In a world dominated by digital marketing, understanding your audience and optimizing your strategies is crucial. Facebook Analytics provides a treasure trove of data, but harnessing its power can be overwhelming. Our expert-led course breaks down the complexities, offering you a step-by-step guide to transform raw data into actionable insights.   🚀 What You'll Gain: Master Facebook Analytics: Dive deep into the tool and learn how to decipher key metrics, understand user behavior, and uncover hidden opportunities. Optimize Ad Performance: Stop wasting money on ineffective ads. Discover how to fine-tune your campaigns based on real-time data, ensuring maximum ROI. Audience Insights: Build a deeper connection with your audience by understanding their preferences, behaviors, and demographics. Conversion Boost: Learn the secrets to turning clicks into conversions. Identify the bottlenecks in your sales funnel and optimize for success. Strategic Decision-Making: Make informed decisions for your business based on data-driven insights. No more guesswork - just results.   🎓 Course Highlights: Expert Instructors: Taught by seasoned professionals with a proven track record in Facebook advertising and analytics. Practical Examples: Real-world case studies and hands-on exercises to reinforce your learning. Interactive Q&A Sessions: Get your burning questions answered by our experts during live Q&A sessions. Lifetime Access: Enjoy unlimited access to course materials, updates, and a supportive community. Certificate of Completion: Showcase your newfound expertise with a certificate to add to your professional portfolio.   🎯 Who Should Enroll: Business Owners Marketing Managers Social Media Managers Entrepreneurs Marketing Enthusiasts   🌟 Don't Miss Out on this Game-Changing Opportunity! Ready to elevate your Facebook advertising game and maximize your business performance? Enroll now and take the first step toward unlocking the full potential of your brand in the digital landscape. Transform data into dollars with 'Maximizing Performance Through Facebook Analytics' - where success is just a click away! Course Curriculum Basic Overview 00:00 The Dashboard - Setting Up 00:00 Moving Content Over 00:00 Moving Over Content - Part 2 00:00 Facebook Analytics - Funnel Tracking 00:00 Creating Your Analtics Dashboard 00:00 Active Users Report 00:00 Revenue Tracking 00:00 Retention 00:00 Cohorts 00:00 Breakdowns 00:00 Journeys 00:00 Percentile 00:00 Events 00:00 Overlap 00:00 Lifetime Value 00:00 Demographics 00:00 Technology 00:00 Settings 00:00 Conclusion 00:00 Advanced Overview 00:00 Getting Started with the Setup 00:00 Connecting To WordPress 00:00 Connecting To Eventbrite 00:00 Connecting Offline Events 00:00 Adding and Creating an Ad Account 00:00 Uploading Offline Event Data 00:00 Creating a Custom Conversion 00:00 Creating Multiple Pixels 00:00 Adding Your Instagram Account 00:00 Lines of Business 00:00 Managing People and Pages 00:00 Managing Projects 00:00 Creating System Users 00:00 Adding a Pixel To Warrior Plus From the Business Manager 00:00 Brand Safety and Domains 00:00 Integrations 00:00 Block Lists 00:00 Set Up Settings for Business Manager 00:00 Conclusion 00:00

Explore the diverse realm of Big Data Analytics, delving into data mining, machine learning, and natural language processing. Uncover the ethical and legal dimensions, and gain practical insights through real-world case studies. Discover types of Big Data analytics, delve into the data mining process, and apply machine learning techniques. Learn about natural language processing principles, assess the impact across industries, and navigate ethical considerations. After the successful completion of this course, you will be able to: Identify the types of Big Data analytics, such as descriptive, predictive, and prescriptive analytics. Understand the data mining process and its role in Big Data analytics. Apply machine learning techniques like classification, regression, and clustering to analyse Big Data. Describe the principles and applications of natural language processing in Big Data analytics. Recognize the benefits and limitations of Big Data analytics in different industries, such as healthcare, finance, and marketing. Evaluate the accuracy and reliability of Big Data analytics results. Understand Big Data analytics's ethical and legal considerations, such as data privacy and intellectual property rights. Analyze case studies and examples of successful implementation of Big Data analytics in different industries, such as predicting customer churn, fraud detection, and personalized medicine. Immerse yourself in Big Data Analytics, mastering techniques to extract valuable insights. From predictive modelling to ethical considerations, this course empowers you with the skills to excel in a data-driven landscape, with applications ranging from healthcare to finance. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Big Data Analytics, Techniques and Models Self-paced pre-recorded learning content on this topic. Big Data Analytics Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Big Data Analyst Data Scientist Machine Learning Engineer Business Intelligence Analyst Predictive Analytics Expert Information Architect Data Engineer AI Solutions Architect Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Discover the world of TikTok marketing with our TikTok Social Media Marketing Course. Learn the essential strategies and techniques to harness the power of TikTok for your marketing efforts.