1497 Business Analyst courses

Get ready for an exceptional online learning experience with the Data Analyst (Data Analytics)bundle! This carefully curated collection of 30 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Data Analyst (Analytics) is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Data Analyst (Analytics) package has something for everyone. As part of the Data Analyst (Analytics) package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Data Analyst (Analytics) bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This Bundle Comprises the Following Data Analyst (Data Analytics)CPD Accredited Courses: Course 01: Basic Data Analysis Course 02: Business Data Analysis Course 03: Introduction to Data Analytics with Tableau Course 04: Google Data Studio: Data Analytics Course 05: SQL Database Basics for Everyone Course 06: R Programming for Data Science Course 07: 2021 Data Science & Machine Learning with R from A-Z Course 08: Learn Python, JavaScript, and Microsoft SQL for Data science Course 09: Spatial Data Visualisation and Machine Learning in Python Course 10: Building Big Data Pipelines with PySpark MongoDB and Bokeh Course 11: Complete Python Machine Learning & Data Science Fundamentals Course 12: Clinical Data Management with SAS Programming Course 13: Certificate in Data Entry and Management Course 14: Quick Data Science Approach from Scratch Course 15: Web Mapping and Data Visualizations Course 16: Programming AutoCAD with SQL Server Database Using C# Course 17: Big Data Analytics with PySpark Power BI and MongoDB Course 18: Develop Big Data Pipelines with R & Sparklyr & Tableau Course 19: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 20: Data Center Training Essentials: Power & Electrical Course 21: Business Intelligence and Data Mining Course 22: Set Menu Prices for your restaurant using data Course 23: Data Analysis In Excel Course 24: Data Protection Course 25: Reporting and Data Course 26: Career Development Plan Fundamentals Course 27: CV Writing and Job Searching Course 28: Networking Skills for Personal Success Course 29: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! Course 30: Decision Making and Critical Thinking What will make you stand out? Upon completion of this online Data Analyst (Data Analytics) bundle, you will gain the following: CPD QS Accredited Proficiency with this Data Analyst (Analytics) bundle After successfully completing the Data Analyst (Analytics) bundle, you will receive a FREE CPD PDF Certificates as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials of this Data Analyst (Analytics) bundle The online test with immediate results You can study and complete the Data Analyst (Analytics) bundle at your own pace. Study for the Data Analyst (Analytics) bundle using any internet-connected device, such as a computer, tablet, or mobile device. Each course in this Data Analyst (Analytics) bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the Data Analyst (Analytics), a rich anthology of 30 diverse courses. Each course in the Data Analyst (Analytics) bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisData Analyst (Analytics) bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Data Analyst (Analytics) bundle offers you the flexibility and convenience to learn at your own pace. Make the Data Analyst (Data Analytics) package your trusted companion in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Analyst (Data Analytics) bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Requirements You are cordially invited to enroll in this bundle; please note that there are no formal prerequisites or qualifications required. We've designed this curriculum to be accessible to all, irrespective of prior experience or educational background. Career path Unleash your potential with the Data Analyst (Data Analytics) bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Data Analyst (Analytics)bundle package. Certificates CPD Quality Standard Certificate Digital certificate - Included 30 CPD Quality Standard Certificates - Free

Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Data Science and Data Analytics bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 33 course mega bundle that will exceed your expectations within your budget. The Data Science and Data Analytics related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Data Science and Data Analytics bundle will help you build a solid foundation to become a proficient worker in the sector. This Data Science and Data Analytics Bundle consists of the following 30 CPD Accredited Premium courses - Course 01:SQL Programming Masterclass Course 02:SQL Server for Beginners Course 03:SQL NoSQL Big Data and Hadoop Course 04:Microsoft SQL Server Development for Everyone Course 05:Javascript Programming for Beginners Course 06:Master JavaScript with Data Visualization Course 07:Computer Vision: C++ and OpenCV with GPU support Course 08:Functional Skills IT Course 09:CompTIA Healthcare IT Technician Course 10:Basic Google Data Studio Course 11:Data Analytics with Tableau Course 12:Recovering from a Job Loss in Technology Course 13:AutoCAD Programming using C# with Windows Forms Course 14:AutoCAD Programming using VB.NET with Windows Forms Course 15:AutoCAD to Excel - VBA Programming Hands-On! Course 16:AutoCAD VBA Programming - Beginner course Course 17:IT Support Technician Training Course 18:Admin Support Assistant Course 19:Building Your Own Computer Course Course 20:Neuro-linguistic Programming (NLP) Diploma Course 21:Cyber Security Incident Handling and Incident Response Course 22:Computer Networks Security Course 23:IT Asset Department Course 24:C# Programming - Beginner to Advanced Course 25:jQuery: JavaScript and AJAX Coding Bible Course 26:Kotlin Programming : Android Coding Course 27:Quick Data Science Approach from Scratch Course 28:Secure Programming of Web Applications Course 29:A-Frame Web VR Programming Course 30:Complete AutoLISP Programming 3 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Learning Outcome This tailor-made Data Science and Data Analytics bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Data Science and Data Analytics Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Science and Data Analytics bundle! This bundle is also ideal for professionals looking for career advancement. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Data Science and Data Analytics Career path Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! 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 course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. 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 Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Recent developments in data analytics and statistics underscore the critical importance of understanding both data structure and analytics methodologies in today's data-driven world. With the exponential growth of data, businesses are increasingly relying on skilled professionals who can harness the power of data to drive informed decision-making. Our comprehensive Data Structure, Data Analytics with Statistics & Data Science QLS Endorsed Diploma bundle, endorsed by the Quality Licence Scheme (QLS) and accredited by the CPD Quality Standards (QS), offers a holistic approach to mastering data structure, data analytics, and statistical techniques. In an era where data reigns supreme, organisations seek individuals who can navigate complex datasets with confidence and precision. This Data Structure, Data Analytics bundle equips learners with the essential skills and knowledge needed to excel in the field of data science and analytics. By delving into topics such as data manipulation, statistical analysis, and database management, participants gain a deep understanding of how to extract valuable insights from raw data. Moreover, our guided courses in career development and communication empower learners to effectively communicate their findings and advance their professional journey. Bundle Include includes: QLS Endorsed Courses: Course 01: Certificate in Data Analytics with Tableau at QLS Level 3 Course 02: Diploma in Data Structure at QLS Level 5 Course 03: Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 CPD QS Accredited Courses: Course 04: Business and Data Analytics for Beginners Course 05: Learn Financial Analytics and Statistical Tools Course 06: SQL For Data Analytics & Database Development Course 07: Big Data Analytics with PySpark Power BI and MongoDB Course 08: Google Data Studio: Data Analytics Course 09: Business Intelligence Analyst Course 10: Spatial Data Visualization and Machine Learning in Python Course 11: Data Analysis In Excel Take your career to the next level with our Data Structure, Data Analytics bundle that includes technical courses and five guided courses focused on personal development and career growth. Course 12: Career Development Plan Fundamentals Course 13: CV Writing and Job Searching Course 14: Networking Skills for Personal Success Course 15: Ace Your Presentations: Public Speaking Masterclass Course 16: Decision Making and Critical Thinking Seize this opportunity to elevate your career with our comprehensive Data Structure, Data Analytics bundle, endorsed by the prestigious QLS and accredited by CPD.Data Structure, Data Analytics with Statistics & Data Science QLS Endorsed Diploma. Learning Outcomes: Upon completion of this Data Structure, Data Analytics bundle, participants will be able to: Demonstrate proficiency in data analytics tools such as Tableau, SQL, and Google Data Studio through Data Structure, Data Analytics courses. Apply statistical techniques to analyse and interpret data for informed decision-making. Design and implement data structures to efficiently store and retrieve information. Utilise machine learning algorithms for predictive analysis and pattern recognition. Develop effective communication and presentation skills to convey insights to stakeholders. Navigate career development pathways in the field of data science and analytics. This Data Structure, Data Analytics course bundle provides a deep dive into the foundational principles of data structure, data analytics, and statistical methodologies. Participants will explore the fundamental concepts of data manipulation, including sorting, searching, and storing data efficiently. Through hands-on exercises and theoretical discussions, learners will gain a solid understanding of various data structures such as arrays, linked lists, trees, and graphs, along with their applications in real-world scenarios. Moreover, the Data Structure, Data Analytics bundle encompasses a comprehensive exploration of data analytics techniques, equipping participants with the skills to extract actionable insights from complex datasets. From descriptive and inferential statistics to predictive modelling and machine learning algorithms, learners will discover how to uncover patterns, trends, and correlations within data, enabling informed decision-making and strategic planning. Throughout the Data Structure, Data Analytics course, emphasis is placed on practical applications and case studies, allowing participants to apply their knowledge to solve real-world problems in diverse domains. CPD 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Structure, Data Analytics course is perfect for: Aspiring data analysts seeking to enhance their analytical skills acrod Data Structure, Data Analytics courses. Professionals transitioning into roles requiring proficiency in data analytics. Students pursuing careers in data science, statistics, or related fields. Business professionals looking to leverage data for strategic decision-making. Individuals interested in advancing their career prospects in the field of data analytics. Anyone seeking to gain a comprehensive understanding of data structure, analytics, and statistics. Requirements You are warmly invited to register for this bundle. Please be aware that there are no formal entry requirements or qualifications necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon completion of the Data Structure, Data Analytics courses, you will be able to: Data Analyst Business Intelligence Analyst Data Scientist Statistician Database Administrator Machine Learning Engineer Data Engineer Certificates 13 CPD Quality Standard Certificates Digital certificate - Included 3 QLS Endorsed Certificates Hard copy certificate - Included

Overview This comprehensive course on Business Analystics for Beginners Using SASS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Business Analystics for Beginners Using SASS comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. 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? There is no experience or previous qualifications required for enrolment on this Business Analystics for Beginners Using SASS. It is available to all students, of all academic backgrounds. Requirements Our Business Analystics for Beginners Using SASS is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 13 sections • 73 lectures • 08:10:00 total length •SAS Introduction: 00:07:00 •Introduction to SAS Program: 00:05:00 •Read SAS Dataset: 00:09:00 •Practice Read Dataset: 00:08:00 •Practical Example on Read Dataset: 00:02:00 •Introduction to SAS Dataset: 00:12:00 •SAS Dataset Practical Example: 00:07:00 •SAS Dataset Practical Program: 00:06:00 •DateValue: 00:03:00 •SAS Formats Part 1: 00:13:00 •SAS Formats Part 2: 00:09:00 •Reading Excel Worksheets: 00:05:00 •Reading Excel Worksheet Example: 00:11:00 •Date Format Example: 00:06:00 •Raw Data File Standard Part 1: 00:09:00 •Raw Data File Standard Part 2: 00:08:00 •Raw Data File Standard Example: 00:06:00 •Raw Data File Non Standard: 00:07:00 •Raw Data File Non Standard Example: 00:06:00 •Length Statement: 00:02:00 •Compilation Execution: 00:04:00 •Heading: 00:01:00 •Dataerrors: 00:05:00 •Data Errorsz Example: 00:03:00 •Validate Data Procfreq: 00:05:00 •Validate Data Procpront: 00:07:00 •Validate Data Peocmeans: 00:05:00 •Dat Constant: 00:07:00 •Assignment Statement: 00:09:00 •If Then Statement: 00:09:00 •If Then Do End Statement: 00:09:00 •Diff Where and If Statement: 00:02:00 •Keep Drop: 00:08:00 •Keep Drop Example: 00:04:00 •Append: 00:09:00 •Append Examples part 1: 00:09:00 •Append Examples part 2: 00:07:00 •Concatenate: 00:12:00 •Merge: 00:06:00 •Merge One to One: 00:07:00 •Merge One to Many: 00:04:00 •Merge Non Match: 00:04:00 •Global Statements: 00:09:00 •Global Statements Examples Part 1: 00:08:00 •Global Statements Examples Part 2: 00:06:00 •Title n Foot Note: 00:05:00 •Title n Foot Note Example: 00:08:00 •By Statement: 00:08:00 •Multiple Where Stament: 00:03:00 •ODS: 00:07:00 •ODS Example: 00:04:00 •Sas Date Function: 00:10:00 •Sas Date Function Example: 00:08:00 •Sas Functions Part 1: 00:10:00 •Sas Functions Part 2: 00:08:00 •Sas Functions: 00:07:00 •Sas Functions Example Part 1: 00:07:00 •Sas Functions Example Part 2: 00:09:00 •Multiple SAS Datasets Part 1: 00:05:00 •Multiple SAS Datasets Part 2: 00:02:00 •Multiple SAS Datasets Example: 00:09:00 •Select Group: 00:09:00 •Select Group Example: 00:08:00 •Do Loop Part 1: 00:07:00 •Do Loop Part 2: 00:06:00 •Do Loop Example: 00:07:00 •Array Part 1: 00:05:00 •Array Part 2: 00:08:00 •Array DoLoop: 00:06:00 •ArrayTemp: 00:05:00 •Array Example: 00:10:00 •Sas Statement Part 1: 00:04:00 •Sas Statement Part 2: 00:05:00

24 Hours Left! Don't Let this Deal Slip Away - Enrol in the Sales and Marketing - QLS Endorsed Course Now! Do you understand what your consumers want? Is it essential to attempt another Sales and Marketing strategy for your brand? The answers to all these questions lie in this Sales and Marketing course. In the UK, the sales and marketing industry is a driving force, contributing over £240 billion to the economy annually. Do you want to gain expertise in strategic planning, market research, branding, and customer engagement? The Diploma in Sales and Marketing will provide you with a comprehensive understanding of the sales and marketing process, from market research and strategic planning to developing effective marketing campaigns and closing deals. You'll learn about consumer and business buying behavior, product and brand strategy, pricing tactics, and the various channels used to reach your target audience. The course also covers essential communication skills for both advertising and sales, as well as the latest trends in digital marketing. Courses Are Included In this Diploma in Sales and Marketing (Online) Training: Course 01: Diploma in Sales and Marketing (Online) Course 02: Strategic Planning and Analysis Course 03: Digital Marketing - Growth Hacking Techniques Course 04: Telemarketing & Sales Training Course 05: Diploma in Business Analysis This Diploma in Sales and Marketing at QLS Level 7 course is endorsed by The Quality Licence Scheme and accredited by CPD QS (with 200 CPD points) to make your skill development & career progression more accessible than ever! Learning Outcomes of Sales and Marketing Apply effective sales techniques to achieve targets. Develop a marketing plan to reach target audiences. Implement strategies to build and manage customer relationships. Analyse market research data to inform marketing decisions. Evaluate and select appropriate marketing channels. Develop and deliver persuasive sales presentations. Invest in your professional growth and embark on a rewarding career path that blends creativity, strategic thinking, and a deep understanding of customer needs. Sign up today and take the first step towards achieving your career goals! Why Choose Our Sales and Marketing Course: Get instant access to this Sales and Marketing course. Learn Sales and Marketing from anywhere in the world Our Sales and Marketing is affordable and simple to understand Sales and Marketing course is entirely online, with interactive lessons with voiceover audio Lifetime access to the Sales and Marketing course materials Sales and Marketing comes with 24/7 tutor support The profitability or failure of a business is determined by the functionality of the Sales and Marketing department. Sales and marketing is the process used to develop and sustain demand, relevance, brand, competitiveness, and other factors of sales and marketing. Without sales and marketing, your brand would be prone to failure due to a lack of sales and revenue. This Sales and marketing training entails a deep dive into consumer perceptions, buyer personas, communication, analytics, and so much more. Assessment Process of Sales and Marketing Assignment and MCQ-Based 60% Marks to pass Instant Assessment Certificates Offered in Sales and Marketing QLS-endorsed certificate CPD-Approved Certificate CPD 200 CPD hours / points Accredited by CPD Quality Standards Module 01: Basics 28:51 1: Basics of Marketing 28:51 Module 02: The Process 35:56 2: The Marketing Process 35:56 Module 03: Strategic Planning 50:32 3: Strategic Marketing 50:32 Module 04: Market Environment 21:19 4: Marketing Environment 21:19 Module 05: Market Segmentations 39:53 5: Market Segmentations 39:53 Module 06: Consumer Buying Behaviour 57:33 6: Consumer Buying Behaviour 57:33 Module 07: Business Markets and Buying Behaviour 37:41 7: Business Markets and Buying Behaviour 37:41 Module 08: Market Research 38:52 8: Marketing Research 38:52 Module 09: Product Strategy 43:22 9: Product Strategy 43:22 Module 10: Branding Strategy 31:59 10: Branding Strategy 31:59 Module 11: Product Life Cycle 23:50 11: Product Life Cycle 23:50 Module 12: Pricing Strategy 1:00:21 12: Pricing Strategy 1:00:21 Module 13: Channels 53:31 13: Marketing Channels 53:31 Module 14: Integrated Communications 47:57 14: Integrated Marketing Communications 47:57 Module 15: Advertising and Sales Promotion 48:08 15: Advertising and Sales Promotion 48:08 Module 16: Personal Selling and Public Relations 1:00:48 16: Personal Selling and Public Relations 1:00:48 Module 17: Direct and Digital Marketing 47:07 17: Direct and Digital Marketing 47:07 Assessment (Optional) 02:00 18: Assignment On - Advanced Diploma in Marketing at QLS Level 7 02:00 Order Your Certificate 02:00 19: Order Your CPD Certificate 01:00 20: Order Your QLS Endorsed Certificate 01:00 Course Completion 01:00 21: Course Completion 01:00 Free Course No 01: Strategic Planning and Analysis 1:55:03 22: Module 01: An Introduction to Strategic Planning 08:25 23: Module 02: Development of a Strategic Plan 15:12 24: Module 03: Strategic Planning for Marketing 08:01 25: Module 04: Strategic and Marketing Analysis 09:25 26: Module 05: Internal Analysis 15:54 27: Module 06: External Analysis 15:03 28: Module 07: Market Segmentation, Targeting and Positioning 11:55 29: Module 08: Approaches to Customer Analysis 15:09 30: Module 09: Approaches to Competitor Analysis 15:59 Free Course No 02: Digital Marketing - Growth Hacking Techniques 2:53:20 31: Module 01: Fundamentals of Digital Marketing 18:15 32: Module 02: Growth Hacking 12:36 33: Module 03: Customer Journey 12:57 34: Module 04: Content Marketing 13:20 35: Module 05: SEO (Search Engine Optimisation) 15:47 36: Module 06: E-Mail Marketing 19:02 37: Module 07: Facebook Marketing 17:56 38: Module 08: Instagram Marketing 20:22 39: Module 09: Twitter Marketing 13:43 40: Module 10: Youtube Marketing 15:27 41: Module 11: Mobile Marketing 13:55 Free Course No 03: Telemarketing & Sales Training 1:47:40 42: Module 01: Introduction to Tele Sales Executive Training 06:42 43: Module 02: All About Telemarketing 04:40 44: Module 03: Elevate Sales on Telephone 06:46 45: Module 04: Prospective Telephone-Sales Expert 06:21 46: Module 05: The Right Words and Phrases to Use on a Sales Call 05:36 47: Module 06: Preparing the Call 06:32 48: Module 07: Opening the Call 07:54 49: Module 08: Structuring the Call 06:20 50: Module 09: Verbal Communication Skills 12:11 51: Module 10: Dealing with Objections 12:11 52: Module 11: Closing the Sale/ Gaining Commitment 09:16 53: Module 12: Dealing with Rejection 06:58 54: Module 13: Close a Sale Call 06:43 55: Module 14: Increasing your Earnings by Expanding Sales 09:30 Free Courses No 04: Diploma in Business Analysis 3:08:23 56: Module 01: Introduction to Business Analysis 11:20 57: Module 02: Business Processes 26:35 58: Module 03: Business Analysis Planning and Monitoring 17:11 59: Module 04: Strategic Analysis and Product Scope 19:17 60: Module 05: Solution Evaluation 16:49 61: Module 06: Investigation Techniques 27:05 62: Module 07: Ratio Analysis 16:18 63: Module 08: Stakeholder Analysis and Management 15:10 64: Module 09: Process Improvement with Gap Analysis 12:55 65: Module 10: Documenting and Managing Requirements 16:07 66: Module 11: Career Prospect as a Business Analyst in the UK 09:36 Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is ideal for: Career changers Business owners Marketing professionals Sales representatives After completing this course, anyone can later enrol in these courses: NCFE Level 3 Diploma in Skills for Business: Sales and Marketing Level 4 Diploma in Sales and Marketing Management (RQF) Level 2 Award in Underage Sales Prevention (RQF) Level 5 Certificate in Sales (RQF) Level 4 Diploma in Sales and Marketing Management (RQF) Level 2 Award in Underage Sales Prevention (RQF) Level 5 Certificate in Sales (RQF) Requirements There are no requirements for enroling in this Sales and Marketing course. Career path Take this Sales and Marketing training to broaden your career opportunities. Sales Manager Marketing Manager Account Executive Business Development Entrepreneur Certificates Certificate Accredited by CPDQS Digital certificate - Included Free for the title course only. Advanced Diploma in Marketing at QLS Level 7 Hard copy certificate - £139 Show off Your New Skills with a Certificate of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 139 GBP inside the UK 149 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS Upon finishing the course, you need to order to receive a Certificate Accredited by CPDQS that is accepted all over the UK and also internationally. The pricing schemes are: 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

Business Management: Business Management Course Online Introducing Business Management: Business Management Course "Empowering the Next Generation" Online course! If you want to learn about Business Management: Business Management Course and become an expert in the field, you have arrived at the right place. Industry experts designed this Business Management: Business Management Course to enable you to learn quickly and efficiently and at your own pace and convenience. This Business Management: Business Management Course also gives you a good understanding of organizational structures. Overall, the Business Management: Business Management Course provides you with in-depth knowledge and understanding of the principles and practices underlying key business management topics. Main Course: Level 7 Business Management Free Courses Course 01: Level 5 Diploma in Business Analysis Course 02: Level 2 Diploma in Business Administration Course 03: Level 3 Business Administration Course 04: Business Law [ Note: Free PDF certificate as soon as completing the bundle Business Management: Business Management Course] Business Management: Business Management Course Online This Business Management: Business Management Course consists of 13 modules. Course Curriculum of Level 7 Business Management: Business Management Course Module 01: Introduction Module 02: Financial Resource and Investment Management Module 03: Succession Planning Module 04: Risk Management Module 05: Supply Chain Management Module 06: Human Resource Management Module 07: Leadership and Management Module 08: Change Management Module 09: Conflict Management Module 10: Project Management Module 11: Communication Techniques for Business Management Module 12: Entrepreneurship and Small Business Management Module 13: UK Business Law Assessment Method of Business Management: Business Management Course After completing Business Management: Business Management Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Business Management: Business Management Course After completing the Business Management: Business Management Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Business Management: Business Management Course Online This Business Management: Business Management Course is suitable for: - Newcomers to business management., Anyone considering starting their own business, Existing small business managers. Requirements Business Management: Business Management Course Online To enrol in this Business Management: Business Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Business Management: Business Management Course. Be energetic and self-motivated to complete our Business Management: Business Management Course. Basic computer Skill is required to complete our Business Management: Business Management Course. If you want to enrol in our Business Management: Business Management Course, you must be at least 15 years old. Career path Business Management: Business Management Course Online Enrolling on this Business Management: Business Management Course can lead you to the following career paths: Business Manager Assistant CEO Asset Management Management Analyst Business Management Support Analyst Business Management Assistants Sales & Business Management Trainee

Overview This course is specially designed to increase the fundamental knowledge of business analysts and their roles and functions more efficiently. In this course, participants attain skills and knowledge of efficient ways to approach, the best methods to elaborate the supplies for business system projects.

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Master Business Analysis skills by enrolling the Business Analysis Advanced Course course. The course covers the essential management and leadership aspects of the analysis role, the analysis of budget and finance, market evaluation, analysing competition and selecting marketing strategies. In spite of these, the course lets you design a business plan and helps you to choose the right staffs for you. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Course Content Business Analysis Business Planning Basics 01:00:00 Market Evaluation 01:00:00 Analyze Competition 01:00:00 Determine A Marketing Strategy 01:00:00 Decide What Extras You May Need Like Staff etc 00:30:00 The Dangers In Not Making A Business Plan 00:15:00 Wrapping Up 00:15:00 Finance & Budgeting Financing Basics 00:45:00 Record Your Income 01:00:00 Make a List of Expenses First and Put Them in Categories 01:00:00 Countdown & Adjust 01:00:00 Review Regularly 01:00:00 Reference Book Business Analysis 00:00:00 Mock Exam Mock Exam- Advanced Business Analysis Course 00:30:00 Final Exam Final Exam- Advanced Business Analysis Course 00:30:00 Assignment Assignment - Business Analysis Advanced Course 3 weeks, 3 days Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.