998 Courses

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Deep Learning on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the The Machine Learning Pipeline on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Overview This comprehensive course on Business Intelligence and Data Mining Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Business Intelligence and Data Mining Masterclass comes with accredited certification, 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 Intelligence and Data Mining Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Business Intelligence and Data Mining Masterclass 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 1 sections • 24 lectures • 04:56:00 total length •Module 01: What is Business Intelligence?: 00:05:00 •Module 02: Starting Case in understanding BI needs in diff phase of business: 00:07:00 •Module 03: Decision Making Process and Need of IT systems: 00:20:00 •Module 04: Problem Structure and Decision Support System: 00:11:00 •Module 05: Introduction to BI Applications: 00:18:00 •Module 06: Dashboard presentation systems: 00:07:00 •Module 07: Different Types of Charts used in 131 Dashboards: 00:30:00 •Module 08: Good Dashboard and BSC: 00:13:00 •Module 09: Examples of Bad Dashboards 1: 00:07:00 •Module 10: Examples of Bad Dashboards 2: 00:01:00 •Module 11: Process of KPI Development: 00:26:00 •Module 12: Overview of Data warehouse: 00:08:00 •Module 13: More explaining of data warehouse and steps in processing: 00:09:00 •Module 14: Data Warehouse Architecture -Tiers: 00:18:00 •Module 15: Data Warehouse - components: 00:15:00 •Module 16: Approach to develop data structure and Models of database: 00:16:00 •Module 17: Basics of Data Mining - Meaning: 00:35:00 •Module 18: Basics of Data Mining - Stages of DM: 00:25:00 •Module 19: Data Mining Technique - Classification: 00:07:00 •Module 20: Data mining - Clustering: 00:02:00 •Module 21: Data Mining - Association Rules: 00:05:00 •Module 22: Data Mining Applications - Banking: 00:03:00 •Module 23: Data Mining Applications - CRM: 00:04:00 •Module 24: Data Mining Applications - other industries: 00:04:00

Course Overview: According to a report by the World Economic Forum, data analysts and scientists are among the top emerging job roles. The "Data Analytics with Tableau" course is tailored to equip learners with the vital skills required to excel in this dynamic field. The course delves into the intricacies of data visualisation and analysis using Tableau, a leading software in the industry. It's not merely about understanding data but transforming it into actionable insights that drive business decisions. The course is structured to provide a comprehensive understanding of various aspects of data analytics, including sales, HR, and shipping analytics.Don't miss this opportunity to advance your career with cutting-edge skills in data analytics. Enrol in "Data Analytics with Tableau" now and embark on a journey of professional growth and endless possibilities! Key Features of the Course: CPD Certificate: Upon completion, you will receive a prestigious Continuing Professional Development (CPD) certificate, recognised globally for enhancing your career prospects. 24/7 Learning Assistance: Our dedicated support team ensures you receive prompt assistance, providing a seamless learning experience. Who is This Course For? This course is tailored for individuals who aspire to become data analysts, business intelligence professionals, marketing strategists, or decision-makers seeking to leverage data effectively. No experience with Tableau or coding is required, making it accessible and engaging for beginners. What You Will Learn: Data Analytics with Tableau, This course covers a wide range of topics, starting with connecting and preparing data, where you will learn how to import, clean, and transform data to make it analysis-ready within Tableau. Next, you will master the art of building insightful charts and visualisations using Tableau's rich set of tools, enabling you to communicate data trends and insights effectively. Additionally, you will explore the creation of captivating headline cards and interactive dashboards, gaining expertise in presenting key information and facilitating data exploration. Real-world projects, including Discount Mart, Green Destinations, Super Store, Northwind Trade, and Tesla, will provide you with outstanding experience in applying Tableau to solve practical data challenges. Lastly, you will develop a solid understanding of database concepts and learn to create compelling data stories using Tableau's storytelling features. By the end of this course, you will have the skills and confidence to make data-driven decisions and communicate insights effectively using Tableau. Why Enrol in This Course: Join the recently updated top-reviewed Data Analytics course with Tableau to keep you at the forefront of the field. Expand your analytical skills, unlock career opportunities, and stay current in the rapidly evolving world of data analytics by mastering Tableau, the industry-standard tool for visual analytics. Requirements: No prior experience with Tableau or coding is required. All you need is a computer with internet access, a curious mind, and a passion for exploring the world of data analytics. Career Path: By acquiring data analytics skills with Tableau, you open doors to exciting career paths, such as: Data Analyst (Average Salary: £35,000 - £45,000) Business Intelligence Analyst (Average Salary: £40,000 - £55,000) Marketing Analyst (Average Salary: £30,000 - £40,000) Financial Analyst (Average Salary: £35,000 - £50,000) Data Visualization Specialist (Average Salary: £40,000 - £60,000) Database Administrator (Average Salary: £40,000 - £55,000) Data Scientist (Average Salary: £45,000 - £70,000) Certification: Upon successful completion of the course, you will receive a CPD certificate, internationally recognised for its validation of your expertise in data analytics with Tableau. Enrol now and embark on a transformative journey to become a proficient data analyst and visualisation expert with Tableau! Course Curriculum 9 sections • 41 lectures • 06:47:00 total length •Introduction to the Course: 00:02:00 •What is Tableau? An Introduction to Tableau: 00:03:00 •How this course is Structured: 00:01:00 •Installing the Free Full Version of Tableau: 00:02:00 •Project Brief for Discount Mart: 00:03:00 •Connecting and Preparing Data for Discount Mart: 00:15:00 •Building Charts on Tableau for Discount Mart (Part 1): 00:33:00 •Building Charts on Tableau for Discount Mart (Part 2): 00:16:00 •Creating Headline Cards on Tableau for Discount Mart: 00:10:00 •Building and Publishing Dashboards on Tableau: 00:15:00 •Project Brief for Green Destinations: 00:02:00 •Connecting and Preparing Data for Green Destinations: 00:09:00 •Building Charts on Tableau (Part 1) for Green Destinations: 00:28:00 •Building Charts on Tableau (Part 2) for Green Destinations: 00:08:00 •Creating Headline Cards on Tableau: 00:15:00 •Building a Dashboard for Green Destinations: 00:12:00 •Publish your Dashboard to Tableau Public: 00:02:00 •Project Brief for Super Store: 00:02:00 •Connecting and Preparing Data for Super Store: 00:17:00 •Building Charts on Tableau (Part 1) for Super Store: 00:34:00 •Building Charts on Tableau (Part 2) for Super Store: 00:23:00 •Building a Dashboard: 00:18:00 •Publish your Dashboard to Tableau Public: 00:03:00 •Project Brief for Northwind Trade: 00:03:00 •Connecting and Preparing Data for Northwind Trade: 00:14:00 •Building Charts on Tableau for Northwind Trade: 00:37:00 •Building and Publishing Dashboards for Northwind Trade: 00:10:00 •Project Brief for Tesla: 00:02:00 •Creating a Data Source through Google Sheet Functions: 00:05:00 •Connect to the Data for Tesla: 00:04:00 •Building Charts on Tableau for Tesla: 00:22:00 •Building Headline Cards: 00:09:00 •Building a Tesla Dashboard: 00:08:00 •Publish your Dashboard to Tableau Public: 00:03:00 •Introduction to Database Concepts: 00:01:00 •Understanding Relational Databases: 00:04:00 •Relationships of Database Entities: 00:02:00 •Primary and Foreign Keys: 00:01:00 •Data types and Naming Conventions: 00:04:00 •Creating Stories on Tableau: 00:05:00 •Resources - Data Analytics with Tableau: 00:00:00

In the digital age, the ability to interpret and predict data trends is paramount. Introducing 'Data Analysis and Forecasting in Excel', a comprehensive course tailored to unveil the intricacies of Excel's powerful tools. Dive deep into the world of worksheets, discover the magic of PivotTables, and unravel the secrets of data visualisation. Whether you're a novice eager to delve into data or a seasoned analyst looking to refine your skills, this course promises a transformative journey into the realm of Excel analytics. The curriculum is designed with the utmost care to ensure a holistic understanding. From the basics of modifying worksheets to the advanced techniques of forecasting data, every module is a step towards mastering Excel. With a focus on real-world applications, learners will be equipped to harness the potential of Excel, making data-driven decisions with confidence and precision. Visualisation is at the heart of understanding data. This course not only teaches you how to analyse data but also how to represent it effectively using charts, PivotCharts, and the innovative Sparklines. By the end of this course, you'll be adept at mapping data, automating workbook functionalities, and employing lookup functions with finesse. Learning Outcomes: Master the techniques of modifying and organising worksheets for optimal data representation. Understand and implement effective list management strategies within Excel. Analyse complex datasets and derive meaningful insights. Design and create compelling visual representations using charts and other visual tools. Efficiently utilise PivotTables and PivotCharts for advanced data analysis. Integrate and manage data across multiple worksheets and workbooks. Implement lookup functions and audit formulas to ensure data accuracy and integrity. Why buy this Data Analysis and Forecasting in Excel course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Data Analysis and Forecasting in Excel Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience Who is this Data Analysis and Forecasting in Excel course for? Individuals keen on mastering Excel for data interpretation and visualisation. Business analysts aiming to enhance their data forecasting abilities. Students pursuing a career in data analytics or business intelligence. Managers and decision-makers seeking to make data-driven strategies. Researchers looking to streamline and enhance their data processing techniques. Career path Data Analyst: Average salary range £30,000 - £50,000 annually. Business Intelligence Analyst: Average salary range £35,000 - £55,000 annually. Market Research Analyst: Average salary range £27,000 - £45,000 annually. Financial Analyst: Average salary range £35,000 - £60,000 annually. Operations Research Analyst: Average salary range £40,000 - £65,000 annually. Management Analyst: Average salary range £45,000 - £70,000 annually. Prerequisites This Data Analysis and Forecasting in Excel does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Analysis and Forecasting in Excel was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:12:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00

Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! Are you looking to improve your current abilities or make a career move? Our unique Data Analytics with Tableau course might help you get there! Expand your expertise with high-quality training - study the Data Analytics with Tableau course and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through theonline training course. The Data Analytics with Tableau course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Data Analytics with Tableau course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course. This Data Analytics with Tableau 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 Us? Opportunity to earn a certificate accredited by CPDQS. 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 Data Analytics with Tableau course: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Assessment Process Once you have completed all the modules in the Data Analytics with Tableau course, you can assess your skills and knowledge with an optional assignment. Certificate of Completion The learners have to complete the assessment of this Data Analytics with Tableau course to achieve the CPDQS accredited certificate. Digital Certificate: £10 Hard Copy Certificate: £29 (Inside UK) Hard Copy Certificate: £39 (for international students) CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this Data Analytics with Tableau course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career.

Data Analyst Course is Now The Most Demanding Course to Advance Your Career! Data Analysis Course is for those who want to advance in this field. Throughout this course, you will learn the essential skills and gain the knowledge needed to become well versed in Data Analyst. Data Analyst course includes: Course 01: Diploma in Data Analysis Fundamentals Course 02: Excel Pivot Tables for Data Reporting Course 03: Complete Microsoft SQL Server from Scratch: Bootcamp Our course starts with the basics of Data Analysis and gradually progresses towards advanced topics. Therefore, each lesson of this course intuitive and easy to understand. Data Analyst Course Learning Outcomes: Upon successful completion of this highly appreciated Data Analysis Course, you'll be a skilled professional, besides- You can provide services related to Data Analysis with complete knowledge and confidence. You'll be competent and proficient enough to start a Data Analytics related Data Analyst on your own. Furthermore, you can train up others and grow an efficient peer community on your locality and serve people. It will enhance your portfolio, you can use the certificate as proof of your efficiency to the employer. It will boost up your productivity, you can use the skill and credentials, and become more competent in your vocation with increased earning! So, stand out in the job market by completing the Data Analyst (Data Analytics) Course. Get an accredited certificate and add it to your resume to impress your employers. Along with the Data Analysis course, you also get: Lifetime Access Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials- Anytime, Anywhere - From Any Smart Device (Laptop, Tablet, Smartphone Etc.) 100% Learning Satisfaction Guarantee Learn at your own pace from the comfort of your home, as the rich learning materials of this course are accessible from any place at any time. The curriculums are divided into tiny, bite-sized modules by industry specialists. And you will get answers to all your queries from our experts. So, enrol and excel in your career with Compliance Central. Curriculum Topics: Agenda and Principle Process Voice of Customer Data Analysis Tools Pareto Chart, Histogram, Run Chart, Control Chart Data Performance Presentation Pivot Table Fundamental SQL Statement Basics and Operations CPD 40 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis course. Requirements To enrol in this Data Analysis course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Data Analysis. Data Analyst: £25,000 to £45,000 per year Business Intelligence Analyst: £30,000 to £55,000 per year Data Scientist: £35,000 to £65,000 per year Data Engineer: £40,000 to £70,000 per year Market Research Analyst: £22,000 to £40,000 per year Database Administrator: £30,000 to £55,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included 3 CPD Accredited PDF Certificate Hard copy certificate Hard copy certificate - £9.99 CPD Accredited Hard Copy Certificate for £9.99 each. Delivery Charge: Inside the UK: Free Outside of the UK: £9.99

Duration 3 Days 18 CPD hours This course is intended for Before taking this course delegates should already be familiar with basic analytics techniques, comfortable with basic data manipulation tools such as spreadsheets and databases and already familiar with at least one programming language Overview This course teaches delegates who are already familiar with analytics techniques and at least one programming language how to effectively use the programming language for three tasks: data manipulation and preparation, statistical analysis and advanced analytics (including predictive modelling and segmentation). Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. Outcomes: After completing the course, delegates will be capable of writing production-ready R code to perform advanced analytics tasks enabling their organisations make better, data-driven decisions. Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. Topic 1 Intro to our chosen language Topic 2 Basic programming conventions Topic 3 Data structures Topic 4 Accessing data Topic 5 Descriptive statistics Topic 6 Data visualisation Topic 7 Statistical analysis Topic 8 Advanced data manipulation Topic 9 Advanced analytics ? predictive modelling Topic 10 Advanced analytics ? segmentation