2045 Analytics courses

***24 Hour Limited Time Flash Sale*** Youtube Marketing, Getting More Views with Youtube Strategic Planning Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Begin your journey towards a rewarding and successful career by enrolling in our all-inclusive bundle of 8 Youtube Marketing, Getting More Views with Youtube Strategic Planning courses. At UKHF Online, we have carefully selected and combined these courses to equip you with the vital skills and knowledge necessary to thrive in Youtube Marketing, Getting More Views with Youtube Strategic Planning . 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Youtube Marketing, Getting More Views with Youtube Strategic Planning bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Youtube Marketing Strategy QLS Course 02: Get More YouTube Views QLS Course 03: Youtube Strategic Planning Secrets 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Youtube Masterclass: How to Start a Successful Youtube Channel for Your Business QuicklyCourse 02: Youtube MarketingCourse 03: Youtube Marketing and Analytics TrainingCourse 04: Make Money With YouTubeCourse 05: Get 100 MILLION Views on YouTube! In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV WritingCourse 02: Job Search SkillsCourse 03: Self Esteem & Confidence BuildingCourse 04: Professional Diploma in Stress ManagementCourse 05: Complete Communication Skills Master Class Convenient Online Learning: Our Youtube Marketing, Getting More Views with Youtube Strategic Planning courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. The Youtube Marketing, Getting More Views with Youtube Strategic Planning bundle is a comprehensive collection of courses that have been meticulously designed to provide you with a well-rounded education in Youtube Marketing, Getting More Views with Youtube Strategic Planning . With a combination of 3 QLS-endorsed courses and 5 CPD QS-accredited courses, this bundle offers you the perfect balance of essential knowledge and valuable skills. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Entrepreneurs and small business owners who want to use YouTube to promote their products or services Marketing professionals who want to add YouTube marketing to their skill set Content creators who want to grow their YouTube channel and increase their income Career path Social Media Manager: £30,000 - £50,000 Digital Marketing Manager: £40,000 - £70,000 Content Creator: £25,000 - £50,000 Video Marketing Manager: £35,000 - £60,000 Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

🚀 Supercharge Your Profits with Optimized EPC Transformation! 🚀 Are you ready to revolutionize your online business and skyrocket your profits to new heights? Introducing the game-changing online course: Optimized EPC Transformation!   🌟 Unlock the Secrets to Enhanced Earnings Per Click (EPC)! In the ever-evolving landscape of digital marketing, the key to success lies in maximizing your Earnings Per Click. Our comprehensive course is meticulously designed to guide you through the art and science of Optimized EPC Transformation, empowering you to turn every click into a revenue powerhouse.   🔥 What You'll Gain from This Transformational Course: Strategic EPC Optimization Techniques: Uncover the insider strategies employed by successful marketers to optimize EPC and boost your conversion rates. Advanced Analytics Mastery: Learn how to harness the power of data analytics to identify high-performing channels, refine your targeting, and amplify your overall EPC. Conversion Rate Enhancement: Dive deep into the psychology of consumer behavior and discover how to fine-tune your sales funnel for maximum conversions. Automation for Efficiency: Streamline your processes with cutting-edge automation tools, saving time and resources while supercharging your EPC. Profitable Split Testing: Master the art of split testing to iterate and refine your campaigns, ensuring continuous improvement and sustained profitability. Dynamic Ad Copywriting: Craft compelling ad copy that resonates with your audience, drives engagement, and compels action, resulting in a significant uptick in your EPC.   💡 Why Choose Optimized EPC Transformation? Expert Guidance: Benefit from the insights of industry experts who have successfully transformed businesses through EPC optimization. Practical Strategies: Our course is packed with actionable strategies that you can implement immediately to see tangible results in your EPC. Lifetime Access: Gain unlimited access to course materials, updates, and a supportive community to ensure you stay ahead of the curve in this dynamic digital landscape. Money-Back Guarantee: We're confident in the transformative power of this course. If you don't see results within 30 days, we offer a no-questions-asked money-back guarantee.   🚀 Elevate Your EPC. Elevate Your Profits. Don't let your business be left behind. Enroll in Optimized EPC Transformation today and embark on a journey towards unprecedented profitability. Take control of your success, one optimized click at a time! Course Curriculum

Level 4 QLS Endorsed Diploma | 120 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Practical Sales Skills 1 Day Workshop in Watford

Practical Sales Skills 1 Day Workshop in Hamilton, UK

Practical Sales Skills 1 Day Workshop in Coventry

Practical Sales Skills 1 Day Workshop in Bromley

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 Digital Product Management 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 the professional training that employers are looking for in today's workplaces. The Digital Product Management Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Digital Product Management 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 Digital Product Management Course, like every one of Skillwise'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 Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Digital Product Management? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance 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 Digital Product Management 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Digital Product Management 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 skills. Prerequisites This Digital Product Management does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Digital Product Management was made by professionals and it is compatible with all PCs, Macs, 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 a bonus, you will be able to pursue multiple occupations. This Digital Product Management is a great way for you to gain multiple skills from the comfort of your home.   Module 01: Basics of Digital Product Management Basics of Digital Product Management 00:45:00 Module 02: Understanding Market and Customers Understanding Market and Customers 00:40:00 Module 03: Strategy Development Strategy Development 02:20:00 Module 04: Roadmap Roadmap 00:45:00 Module 05: Development Methodologies Development Methodologies 01:30:00 Module 06: Analytics and Metrics Analytics and Metrics 01:10:00 Module 07: Marketing Marketing 00:50:00 Module 08: Legal Aspects Legal Aspects 00:50:00 Assignment Assignment - Digital Product Management 06:01:00

Overview For building a solid position in the world of digital marketing understanding Google Ads is mandatory. So, if you are planning to pursue a career in marketing or want to promote your business, grasp the ins and outs of Google Ads. The Google Ads For Beginners course is the perfect place to start learning. This comprehensive course will give you an overall understanding of Google Ads. from the easy-to-follow modules you will learn how to create Google Ads. The course will teach you the techniques to avoid common mistakes and build a successful Adward campaign. Then you will learn about Adwords display advertising, content remarketing strategies, Adwords bidding strategies and much more. Furthermore, the course will help you reduce the expenditure on waste Ads. You will also grasp the skills for tracking Adwards analytics. At the end of the course, you will receive a certificate of achievement. This certificate will help you build an impressive CV. So, join now and start learning! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This Google Ads For Beginners course is available to all students, of all academic backgrounds. Anyone who wants to pursue a career in the relevant industry can take the course and develop their skills and knowledge. Requirements There is no experience or previous qualifications required to enrol in this course It is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Digital Marketer Marketing Executives Business Owner Course Curriculum 1 sections • 15 lectures • 01:01:00 total length •Course Promo: 00:03:00 •Lesson 01: Getting started with Google Ads: 00:04:00 •Lesson 02: Create your Google Ads: 00:04:00 •Lesson 03: Ingredients to build a successful Adwords camping: 00:04:00 •Lesson 04: Google Adwords mistakes to be avoided: 00:04:00 •Lesson 05: Google Adwords audit - Optimisation guide: 00:06:00 •Lesson 06: Improving quality score in Google Adwords: 00:04:00 •Lesson 07: Adwords display advertising: 00:05:00 •Lesson 08: Turbocharge Adwords for breakthrough performance: 00:03:00 •Lesson 09: Content remarketing strategies with Google display network: 00:04:00 •Lesson 10: Adwords bidding strategies your competitors don't know: 00:07:00 •Lesson 11: Using Google Adwords for small business: 00:03:00 •Lesson 12: How to reduce wasted Adwords spend: 00:02:00 •Lesson 13: Google Adwords features updated: 00:04:00 •Lesson 14: Tracking Google Ads analytics: 00:04:00

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm