24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now in this Data Analyst Course! Unlock the power of Data Analysis and become a master of insights with our Data Analyst (Data Analytics) course. Gain the Data Analyst skills to decipher complex datasets, extract valuable information, and make data-driven decisions that drive success as a Data Analyst. Join us on this Data Analyst (Data Analytics) course and embark on a journey to transform raw data into actionable intelligence, empowering businesses to thrive in the digital age with Data Analyst (Data Analytics) Courses Included in This Data Analyst (Data Analytics) Training: Course 01: Diploma in Data Analysis at QLS Level 5 Course 02: Diploma in Business Data Analysis at QLS Level 5 Course 03: SQL Masterclass: SQL For Data Analytics Learning outcome of this Data Analyst (Data Analytics) course: Master retail Data analytics for data-driven decisions. Uncover consumer behavior with retail psychology. Enhance retail performance through data analytics. Apply data-driven strategies for retail planning. Optimise inventory and product assortment in retail. Why Prefer This Data Analysis at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Get instant access to this Data Analyst (Data Analytics) course. Learn Data Analyst (Data Analytics) from anywhere in the world Data Analyst (Data Analytics) is affordable and simple to understand Data Analyst (Data Analytics) is entirely online, interactive lesson with voiceover audio Lifetime access to the Data Analyst (Data Analytics) course materials Data Analyst (Data Analytics) comes with 24/7 tutor support Start your learning journey straight away with this Data Analyst (Data Analytics) course and take a step toward a brighter future! Why Prefer This Data Analyst (Data Analytics) Course? FREE certificate on Data Analyst (Data Analytics) accredited by CPDQS Get instant access to this Data Analyst (Data Analytics) course. Learn Data Analyst (Data Analytics) from anywhere in the world Data Analyst (Data Analytics) is affordable and simple to understand Data Analyst (Data Analytics) is entirely online, interactive lesson with voiceover audio Lifetime Access to the Data Analyst (Data Analytics) course materials Data Analyst (Data Analytics) comes with Data Analysis Assessment Process of Data Analyst(Data Analytics) QLS Course: Assignment & MCQ Based 60% Marks to pass Instant Assessment Certificate of Data Analyst QLS Endorsed Certificate (additional cost) CPD Approved Certificate CPD 150 CPD hours / points Accredited by CPD Quality Standards Course 01- Data Analysis: Modifying a Worksheet 25:59 1: Insert, Delete, and Adjust Cells, Columns, and Rows Preview 10:08 2: Search for and Replace Data 08:38 3: Use Proofing and Research Tools 07:13 Working with Lists 37:47 4: Sort Data 10:03 5: Filter Data 09:49 6: Query Data with Database Functions 09:02 7: Outline and Subtotal Data 08:53 Analyzing Data 12:33 8: Apply Intermediate Conditional Formatting 06:50 9: Apply Advanced Conditional Formatting 05:43 Visualizing Data with Charts 38:03 10: Create Charts 13:18 11: Modify and Format Charts 12:16 12: Use Advanced Chart Features 12:29 Using PivotTables and PivotCharts 44:25 13: Create a PivotTable 13:28 14: Analyze PivotTable Data 12:00 15: Present Data with PivotCharts 07:35 16: Filter Data by Using Timelines and Slicers 11:22 Working with Multiple Worksheets and Workbooks 24:00 17: Use Links and External References 12:24 18: Use 3-D References 05:51 19: Consolidate Data 05:45 Using Lookup Functions and Formula Auditing 30:28 20: Use Lookup Functions 12:45 21: Trace Cells 09:05 22: Watch and Evaluate Formulas 08:38 Automating Workbook Functionality 35:27 23: Apply Data Validation 13:28 24: Search for Invalid Data and Formulas with Errors 04:06 25: Work with Macros 17:53 Creating Sparklines and Mapping Data 07:19 26: MapData 07:19 Forecasting Data 27:54 27: Determine Potential Outcomes Using Data Tables 08:47 28: Determine Potential Outcomes Using Scenarios 09:16 29: Use the Goal Seek Feature 04:16 30: Forecasting Data Trends 05:35 Course 02- Module 1: Introduction to Retail Analytics 32:03 31: Introduction to Retail Analytics Preview 32:03 Module 2: Retail Psychology 07:06 32: Retail Psychology 07:06 Module 3: Retail and Data Analytics 12:00 33: Retail and Data Analytics 12:00 Module 4: Benefits of Retail Analytics 16:26 34: Benefits of Retail Analytics 16:26 Module 5: Retail Strategy 09:44 35: Retail Strategy 09:44 Module 6: Retail Buying and Merchandising 11:27 36: Retail Buying and Merchandising 11:27 Module 7: Forecasting 23:27 37: Forecasting 23:27 Module 8: Retail Pricing 16:30 38: Retail Pricing 16:30 Module 9: Analytics Software 19:37 39: Analytics Software 19:37 Module 10: Supply Chain Management in Retailing 07:37 40: Supply Chain Management in Retailing 07:37 Module 11: The Sales Process and Dealing with Customers at the Checkout 04:57 41: The Sales Process and Dealing with Customers at the Checkout 04:57 Module 12: Selling in Multiple Channels 12:40 42: Selling in Multiple Channels 12:40 Module 13: Taking Trends and Targeting Customers Effectively 05:38 43: Taking Trends and Targeting Customers Effectively 05:38 Assessment (Optional) 12:00 44: MCQ Question 12:00 Order Your Certificate 02:00 45: Order Your CPD Certificate 01:00 46: Order Your QLS Endorsed Certificate 01:00 Who is this course for? Data Analyst (Data Analytics) Training This course is for people who want to quickly and easily learn about Data Analyst (Data Analytics). Requirements Data Analyst (Data Analytics) Training You will not need any prior background or expertise to enrol in this Data Analyst (Data Analytics) course. Career path Data Analyst: £25,000 - £50,000 Junior Data Scientist: £30,000 - £60,000 Senior Data Analyst/Scientist: £50,000 - £100,000 Data Analytics Manager: £60,000 - £120,000 Certificates Cademy certificate of completion Digital certificate - Included Will be downloadable when all lectures have been completed Certificate of completion Digital certificate - £10 Diploma in Retail And Data Analytics at QLS Level 5 Hard copy certificate - £119 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. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)
Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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 Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00
Are you looking to enhance your Marine Biology skills? If yes, then you have come to the right place. Our comprehensive course on Marine Biology will assist you in producing the best possible outcome by mastering the Marine Biology skills. The Marine Biology course is for those who want to be successful. In the Marine Biology course, you will learn the essential knowledge needed to become well versed in Marine Biology. Our Marine Biology course starts with the basics of Marine Biology and gradually progresses towards advanced topics. Therefore, each lesson of this Marine Biology course is intuitive and easy to understand. Why would you choose the Marine Biology course from Compliance Central: Lifetime access to Marine Biology course materials Full tutor support is available from Monday to Friday with the Marine Biology course Learn Marine Biology skills at your own pace from the comfort of your home Gain a complete understanding of Marine Biology course Accessible, informative Marine Biology learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Marine Biology Study Marine Biology in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Marine Biology Course Marine Biology Curriculum Breakdown of the Marine Biology Course Course Outline: Module 01: Introduction to Marine Biology Module 02: The Ocean Module 03: The Ocean as a Habitat Module 04: Characteristics of the Marine Environment Module 05: Marine Life Module 06: Marine Microbes Module 07: Marine Invertebrates Module 08: Marine Vertebrates Module 09: Marine Populations and Communities Module 10: Marine Ecology Module 11: Food Chains and Food Webs Module 12: Damaging Impact of Human Activities on Marine Life Module 13: Marine Conservation CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Marine Biology course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Marine Biology. It is also great for professionals who are already working in Marine Biology and want to get promoted at work. Requirements To enrol in this Marine Biology course, all you need is a basic understanding of the English Language and an internet connection. Career path Marine Biologist: £25,000 to £50,000 per year Environmental Consultant: £25,000 to £45,000 per year Marine Conservation Officer: £22,000 to £35,000 per year Aquatic Ecologist: £25,000 to £40,000 per year Fisheries Officer: £20,000 to £35,000 per year Research Scientist in Marine Biology: £30,000 to £55,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each
Are you looking to enhance your Wildlife Ecology Insights skills? If yes, then you have come to the right place. Our comprehensive course on Wildlife Ecology Insights will assist you in producing the best possible outcome by mastering the Wildlife Ecology Insights skills. The Wildlife Ecology Insights course is for those who want to be successful. In the Wildlife Ecology Insights course, you will learn the essential knowledge needed to become well versed in Wildlife Ecology Insights. Our Wildlife Ecology Insights course starts with the basics of Wildlife Ecology Insights and gradually progresses towards advanced topics. Therefore, each lesson of this Wildlife Ecology Insights course is intuitive and easy to understand. Why would you choose the Wildlife Ecology Insights course from Compliance Central: Lifetime access to Wildlife Ecology Insights course materials Full tutor support is available from Monday to Friday with the Wildlife Ecology Insights course Learn Wildlife Ecology Insights skills at your own pace from the comfort of your home Gain a complete understanding of Wildlife Ecology Insights course Accessible, informative Wildlife Ecology Insights learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Wildlife Ecology Insights Study Wildlife Ecology Insights in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Wildlife Ecology Insights Course Wildlife Ecology Insights Curriculum Breakdown of the Wildlife Ecology Insights Course Course Outline: Module 01: Introduction to Ecology Module 02: Ordering the Natural World Module 03: A Variety of Life Module 04: Ecosystem Module 05: Natural Resources Module 06: Habituation, Migration and Competition Module 07: Organism in a Changing Environment Module 08: The Human Factor Module 09: Climate Change Module 10: Environmentalism and Conservation CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Wildlife Ecology Insights course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Wildlife Ecology Insights. It is also great for professionals who are already working in Wildlife Ecology Insights and want to get promoted at work. Requirements To enrol in this Wildlife Ecology Insights course, all you need is a basic understanding of the English Language and an internet connection. Career path Wildlife Conservation Officer: £24,000 to £38,000 per year Environmental Consultant: £28,000 to £45,000 per year Ecologist: £25,000 to £40,000 per year Wildlife Biologist: £30,000 to £50,000 per year Wildlife Rehabilitation Specialist: £20,000 to £35,000 per year Conservation Scientist: £30,000 to £55,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each
Are you looking to enhance your Poultry Farming skills? If yes, then you have come to the right place. Our comprehensive course on Poultry Farming will assist you in producing the best possible outcome by mastering the Poultry Farming skills. The Poultry Farming course is for those who want to be successful. In the Poultry Farming course, you will learn the essential knowledge needed to become well versed in Poultry Farming. Our Poultry Farming course starts with the basics of Poultry Farming and gradually progresses towards advanced topics. Therefore, each lesson of this Poultry Farming course is intuitive and easy to understand. Why would you choose the Poultry Farming course from Compliance Central: Lifetime access to Poultry Farming course materials Full tutor support is available from Monday to Friday with the Poultry Farming course Learn Poultry Farming skills at your own pace from the comfort of your home Gain a complete understanding of Poultry Farming course Accessible, informative Poultry Farming learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Poultry Farming Study Poultry Farming in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Poultry Farming Course Poultry Farming Curriculum Breakdown of the Poultry Farming Course Course Outline: Module 01: Introduction to Poultry Farming. Module 02: Poultry Nutrition Module 03: Diseases Module 04: Vaccination Module 05: Layers Module 06: Broilers Module 07: Ducks Module 08: Turkey Module 09: Incubation Module 10: Brooding Module 11: Housing and the Environment Module 12: Record Keeping, Economics and Marketing Module 13: Insect and Pest Control Module 14: Safety and Awareness CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Poultry Farming course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Poultry Farming. It is also great for professionals who are already working in Poultry Farming and want to get promoted at work. Requirements To enrol in this Poultry Farming course, all you need is a basic understanding of the English Language and an internet connection. Career path Poultry Farmer: £40,000 to £50,000 per year Livestock Production Manager: £30,000 to £50,000 per year Farm Manager: £25,000 to £45,000 per year Agricultural Consultant: £30,000 to £50,000 per year Animal Nutritionist: £25,000 to £40,000 per year Livestock Operations Supervisor: £25,000 to £45,000 per year Agricultural Research Scientist: £30,000 to £50,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each
Habits shape our lives far more than we often realise, quietly steering our daily decisions and long-term ambitions alike. This course delves into the science and psychology behind habit formation, revealing how small, consistent changes can build a foundation for lasting career success. By understanding the mechanisms that drive behaviour, learners will be equipped to cultivate productive routines that support professional growth and personal fulfilment. Designed to explore the intersection of habit and career advancement, this course offers insightful strategies to refine time management, boost motivation, and enhance goal setting. Whether you’re aiming to develop new skills or refresh your approach to professional challenges, the lessons within provide a fresh perspective on creating momentum without relying on temporary fixes. Thoughtfully crafted to engage and inspire, the course invites you to reimagine how habits can quietly transform your career path one step at a time. Course Curriculum: Lesson 01: Change Becomes Real When You Embrace Good Habits Lesson 02: Changing Your Habits Brings You Closer to Success Lesson 03: Habits Begin in Mind Lesson 04: Developing Good Habits Through Consistency Lesson 05: 5 Ways to Adopt New Good Habits How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Habit Coach: £20,000 - £50,000 per annum Health Coach: £25,000 - £60,000 per annum Executive Coach: £30,000 - £100,000 per annum Personal Development Coach: £20,000 - £60,000 per annum Behavioural Scientist: £30,000 - £80,000 per annum Organisational Psychologist: £35,000 - £90,000 per annum Productivity Consultant: £25,000 - £70,000 per annum Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.
***Offer Ends Today*** Earn up to 40K as a 'DATA ANALYST' or Your 100% Money Back Do you know that entry-level data analysts earn an average of £40,000 annually, with the potential to quickly earn six figures with experience and expertise? Are you looking to join the high-demand field of data analytics and earn a handsome salary? Our Data Analyst Job Ready Program is here to guide you all the way until you get the job you want. Our Data Analyst Job Ready Program is your all-in-one solution to learn data analytics from scratch and also secure a job in this exciting industry. With our unique blend of comprehensive courses and career support, your dream job is within reach. We understand the challenges of transitioning into a new field, which is why our program is tailored to guide you every step of the way - from mastering core skills to landing your first job in data analytics. 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HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data Analyst Job Ready Program with Career Support & Money Back Guarantee is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. 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Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us. CPD 1000 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Analyst Job Ready Program is perfect for: Beginners eager to break into the field of data analytics and get a job. Professionals looking to move their career towards data science. Individuals seeking a comprehensive understanding of data analysis tools and techniques. Those aiming for a career upgrade with advanced analytics skills. Anyone interested in gaining practical, job-ready skills in data analytics and machine learning. Career path This Data Analyst Job Ready Program will help you get a job in different roles, such as: Entry-Level Data Analyst: £25,000 - £35,000 Mid-Level Data Analyst: £35,000 - £60,000 Senior Data Analyst: £50,000 - £80,000 Data Scientist: £40,000 - £100,000 Data Analytics Manager: £60,000 - £100,000 Business Intelligence Analyst: £30,000 - £75,000 Machine Learning Engineer: £45,000 - £80,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included
Level 6 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited
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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