1446 Business Analyst courses delivered Online

As the retail industry continues to evolve, the demand for skilled data analysts is on the rise. According to recent statistics, the global retail analytics market is expected to reach $10.4 billion by 2025, with a compound annual growth rate of 19.6%. This indicates a significant opportunity for professionals in this field. Our Data Analyst: Retail Data Analytics course offers comprehensive training in the latest techniques and tools used in the retail industry, equipping learners with the skills they need to succeed in this exciting and growing field. This Diploma in Retail And Data Analytics at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points)to make your skill development & career progression more accessible than ever! At the end of this Data Analyst : Retail Data Analytics course, you will: Understand the basics of retail analytics and how it impacts the industry Analyse retail psychology and apply it in different scenarios Develop a retail strategy that aligns with business goals Create effective forecasts to plan and manage inventory Set appropriate pricing strategies that balance profit and customer satisfaction Apply analytics software to derive insights from data and inform decision-making Streamline supply chain management to improve efficiency and reduce costs Understand the sales process and how to engage with customers at the checkout Develop strategies for selling in multiple channels, including e-commerce Use trends and customer data to target effectively and increase sales This Retail Data Analytics at QLS Level 5 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer This Data Analyst : Retail Data Analytics at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Retail Data Analytics at QLS Level 5 course: Module 1: Introduction To Retail Analytics Module 2: Retail Psychology Module 3: Retail And Data Analytics Module 4: Benefits Of Retail Analytics Module 5: Retail Strategy Module 6: Retail Buying And Merchandising Module 7: Forecasting Module 8: Retail Pricing Module 9: Analytics Software Module 10: Supply Chain Management In Retailing Module 11: The Sales Process And Dealing With Customers At The Checkout Module 12: Selling In Multiple Channels Module 13: Taking Trends And Targeting Customers Effectively Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Retail And Data Analytics at QLS Level 5 exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data analysts seeking to specialise in the retail industry Retail professionals who wish to develop their analytical skills and knowledge Business owners and entrepreneurs looking to improve their retail operations Requirements No prior background or expertise is required. Career path Data Analyst: Average salary of £32,000 per annum Pricing Analyst: Average salary of £30,000 per annum Supply Chain Analyst: Average salary of £29,000 per annum Forecasting Analyst: Average salary of £31,000 per annum E-commerce Analyst: Average salary of £32,000 per annum Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Retail And Data Analytics at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Retail And Data Analytics at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

Feeling Stuck in Your Career? The Data Analyst (Data Analytics) Bundle is Your Skill-Building Solution. This exceptional collection of 30 premium courses is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Data Analyst-(Data Analytics) bundle provides an engaging learning experience, helping you learn skills across various disciplines. With the Data Analyst (Data Analytics) Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Data Analyst-(Data Analytics) bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set. By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Data Analyst-(Data Analytics) bundle on your job life and career growth! This Data Analyst (Data Analytics) Bundle Comprises the Following 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: Learn to Level Up Your Leadership Course 29: Networking Skills for Personal Success Course 30: Ace Your Presentations: Public Speaking Masterclass 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-(Data Analytics) bundle After successfully completing the Data Analyst-(Data Analytics) bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials of this Data Analyst-(Data Analytics) bundle The online test with immediate results You can study and complete the Data Analyst-(Data Analytics) bundle at your own pace. Study for the Data Analyst-(Data Analytics) bundle using any internet-connected device, such as a computer, tablet, or mobile device. The Data Analyst (Data Analytics) bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development. Advance the future of learning with the Data Analyst-(Data Analytics) bundle, a comprehensive, complete collection of 30 courses. Each course in the Data Analyst-(Data Analytics) bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Data Analyst-(Data Analytics) bundle offers the flexibility and convenience to learn at your own pace. Make the Data Analyst-(Data Analytics) package your trusted partner 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: Expand your knowledge and skillset for a fulfilling career with the Data Analyst-(Data Analytics) bundle. Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Data Analyst-(Data Analytics) bundle. Discover your passion or explore new career options with the diverse learning opportunities in the Data Analyst-(Data Analytics) bundle. Learn on your schedule, in the comfort of your home - the Data Analyst-(Data Analytics) bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Data Analyst (Data Analytics) bundle. Certificates CPD Certificates Digital certificate - Included

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol 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? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. 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 Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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): 00:17:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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

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

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

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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. 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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. 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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

This Business Research Analyst Course is designed to equip learners with essential knowledge and techniques for analysing business processes and interpreting data effectively. Through a series of focused modules, you will explore core concepts such as process management principles, customer insights, and performance measurement strategies. The curriculum guides you through critical tools including Pareto charts, histograms, run charts, and control charts, fostering a deep understanding of variation and data-driven decision-making. Structured to refine your analytical approach, this course emphasises teamwork and strategic use of data to enhance business performance. You will engage with exercises that present data clearly and learn how to interpret charts to identify patterns and opportunities. Whether you are aiming to contribute to process improvements or support informed business decisions, this course offers a well-rounded foundation in research analysis, tailored for online learning and accessible to all levels of experience. Key Benefits Accredited by CPD Instant e-certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Curriculum Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Certificate Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Business Research Analyst training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Business Research Analyst training.

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)