Overview This comprehensive course on IT For Recruiters will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This IT For Recruiters 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 IT For Recruiters. It is available to all students, of all academic backgrounds. Requirements Our IT For Recruiters 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 8 sections • 60 lectures • 05:10:00 total length •Introduction: 00:02:00 •What is hardware and software: 00:04:00 •Server: 00:08:00 •Project Life cycle: 00:06:00 •Software Development Life Cycle: 00:08:00 •Methodologies: 00:09:00 •CMS: 00:04:00 •API: 00:04:00 •CI/CD: 00:04:00 •Stacks: 00:03:00 •Native and Hybrid Native Apps: 00:02:00 •CTO: 00:13:00 •IT Architect: 00:08:00 •Product Owner: 00:12:00 •Project Manager: 00:13:00 •Product Manager: 00:06:00 •PO vs PM vs Product Manager: 00:07:00 •PO vs Product Manager: 00:04:00 •Business Analyst: 00:09:00 •Business Intelligence Specialist: 00:06:00 •Data Engineer: 00:05:00 •Data Scientist: 00:07:00 •Data Engineer vs Data Scientist: 00:07:00 •Agile Coach: 00:14:00 •Scrum Master: 00:08:00 •Agile Coach vs Scrum Master: 00:01:00 •Frontend Developer: 00:06:00 •Backend Developer: 00:06:00 •Fullstack Developer: 00:04:00 •Frontend vs Backend vs Fullstack Developer: 00:02:00 •iOS Developer: 00:03:00 •Android Developer: 00:04:00 •UX Designer: 00:10:00 •UI Designer: 00:08:00 •UX vs UI Designer: 00:04:00 •QA Engineer_Tester: 00:09:00 •SysAdmin: 00:07:00 •DevOps: 00:05:00 •SEO: 00:10:00 •Programming languages and frameworks. Intro: 00:01:00 •Programming languages and frameworks: 00:08:00 •Java: 00:03:00 •JavaScript: 00:02:00 •Python: 00:01:00 •C: 00:02:00 •C++: 00:03:00 •C#: 00:02:00 •HTML: 00:02:00 •PHP: 00:02:00 •SWIFT: 00:02:00 •Objective-C: 00:01:00 •Ruby: 00:02:00 •SQL: 00:02:00 •Go (Golang): 00:01:00 •Database: 00:05:00 •Types of Databases: 00:07:00 •The day of an IT Recruiter: 00:05:00 •Key principles: 00:03:00 •Sourcing Tipps: 00:03:00 •Good Bye Video: 00:01:00
Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Data Analysis with Data Analytics bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 33 course mega bundle that will exceed your expectations within your budget. The Data Analysis with Data Analytics related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Data Analysis with Data Analytics bundle will help you build a solid foundation to become a proficient worker in the sector. This Data Analysis with Data Analytics Bundle consists of the following 30 CPD Accredited Premium courses - Course 01:Google Data Studio: Data Analytics Course 02:Diploma in Data Analysis Fundamentals Course 03:Learn How To Optimize Your Google My Business Page In 2016 Course 04:How To Do Keyword Research For SEO & Ranking On Google Course 05:Excel Pivot Tables for Data Reporting Course 06:Research Methods in Business Course 07:Excel Data Analysis Course 08:Complete Communication Skills Master Class for Life Course 09:Public Speaking Course 10:Minute Taking Executive Training Course 11:Receptionist Skills Course 12:Time Management Training - Online Course Course 13:Python Course Course 14:Data Science & Machine Learning with Python Course 15:Basics of WordPress: Create Unlimited Websites Course 16:The Ultimate SEO Blueprint - Easily Ranking #1 On Google Course 17:Quick Data Science Approach from Scratch Course 18:Fundamentals of Business Analysis Course 19:PowerBI Formulas Course 20:Statistical Analysis Course 21:Social Media Marketing-The Step by Step Guide Course 22:Create Your First Responsive Website Course 23:Complete Online Marketing & Advertising Course Course 24:Ultimate Social Media Marketing course Course 25:Business Intelligence and Data Mining Course 26:Marketing Strategies for Business Course 27:Strategic Planning and Analysis for Marketing Course 28:Digital Marketing for Beginners to Advanced Course 29:Digital Marketing Starting an online E-Commerce Store Course 30:Microsoft Power BI - Master Power BI in 90 Minutes! 3 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Learning Outcome This tailor-made Data Analysis with Data Analytics bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Data Analysis with Data Analytics Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Analysis with Data Analytics bundle! This bundle is also ideal for professionals looking for career advancement. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Data Analysis with Data Analytics Career path Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.
Workplace Productivity Training: Thrive in the UK's Dynamic Workforce! Employee productivity is crucial for organisational success in today's fast-paced and demanding work environment. This comprehensive online Workplace Productivity Training course provides proven strategies and techniques to boost workplace productivity. Learn how to organise, communicate, manage time, resolve conflicts, and maintain health and wellbeing effectively. With these essential workplace skills, you'll be able to accomplish more each day, deliver better results, and advance your career. Join over 1,000 professionals who have completed this top-rated productivity training and seen tangible improvements in their work performance, focus, and impact. Enrol now and gain the skills to work smarter, maximise your potential, and become a highly productive employee. Invest in 'Workplace Productivity Training' today and unlock your potential to thrive in the UK's dynamic workforce. You will Learn The Following Things: Discover actionable strategies to maximise your output and minimise time wastage. Master organisational skills to conquer clutter and prioritise tasks effectively. Build compelling communication skills for confident collaboration and conflict resolution. Tame time management with practical techniques to meet deadlines and maintain work-life balance. Navigate workplace conflicts with assertiveness and emotional intelligence. Cultivate a culture of health, safety, and wellbeing within your organisation. Develop resilience against stress and anxiety, enhancing your mental wellbeing at work. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Workplace Productivity Training. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Workplace Productivity Training course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? Ambitious professionals are seeking to streamline their workdays and climb the career ladder. Individuals are looking to build effective communication skills for a seamless collaborative environment. Anyone wanting to conquer stress and anxiety, fostering a healthy and balanced work-life harmony. Team leaders and managers aim to optimise the performance of their teams. Employees strive to adapt to new technologies and work practices while maintaining peak productivity. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Workplace Productivity Training course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path Business Analyst: £30K to 55K/year. Project Manager: £35K to 65K/year. HR Manager: £38K to 70K/year. Marketing Manager: £32K to 58K/year. Sales Manager: £35K to 60K/year Course Curriculum Module 01: Ways to Improve Workplace Productivity Ways to Improve Workplace Productivity 00:39:00 Module 02: Organisational Skills to Improve Productivity Organisational Skills to Improve Productivity 00:21:00 Module 03: Productive Communication Skills in the Workplace Productive Communication Skills in the Workplace 00:27:00 Module 04: Time Management Time Management 00:35:00 Module 05: Conflict Management Conflict Management 00:14:00 Module 06: Health, Safety and Wellness in the Workplace Health, Safety and Wellness at Workplace 00:27:00 Module 07: Managing Stress and Coping Anxiety in the Workplace Managing Stress and Coping Anxiety in the Workplace 00:26:00 Assignment Assignment - Workplace Productivity Training 00:00:00
ð Unlock the Power of Business Analysis for Accounting! ð Are you ready to elevate your accounting skills to new heights and become a strategic asset in the world of business? Introducing our groundbreaking course, 'Business Analysis for Accounting.' ð In today's dynamic business landscape, the role of accountants extends far beyond number crunching. It's about understanding the bigger picture, identifying opportunities for growth, and making data-driven decisions that drive organizational success. With our comprehensive course, you'll gain the knowledge and skills needed to excel as a business-savvy accountant, unlocking a world of opportunities and propelling your career forward. ð¼ ð Why Take Our Course? ð Master Critical Analytical Skills: Dive deep into the principles of business analysis, learning how to interpret financial data, identify trends, and extract actionable insights that drive business performance. ð Enhance Decision-Making Abilities: Equip yourself with the tools and techniques needed to make informed decisions that align with organizational goals and objectives, adding value to your role as an accountant. ð¡ Strategic Thinking: Develop a strategic mindset that goes beyond traditional accounting practices, allowing you to contribute meaningfully to business planning, forecasting, and performance evaluation. ð¤ Collaborative Approach: Learn how to collaborate effectively with cross-functional teams, leveraging your analytical prowess to influence strategic initiatives and drive business growth. ð Who is this for? Our course is perfect for accounting professionals looking to expand their skill set and take their careers to the next level. Whether you're a seasoned accountant seeking to stay ahead of the curve or a recent graduate eager to stand out in a competitive job market, this course is designed for anyone passionate about leveraging the power of business analysis in accounting. ð©âð¼ Career Path Upon completing our course, you'll be equipped with the knowledge and skills needed to pursue a variety of exciting career paths in the field of accounting and beyond. Here are just a few potential career options: ð¹ Financial Analyst: Analyze financial data, conduct market research, and provide insights to support strategic decision-making. ð¹ Management Accountant: Partner with business leaders to develop budgets, analyze costs, and optimize financial performance. ð¹ Business Consultant: Provide expert advice and recommendations to organizations seeking to improve their financial processes and operations. ð¹ Strategic Planner: Contribute to long-term business planning initiatives, helping organizations set goals, allocate resources, and achieve sustainable growth. ð FAQs (Frequently Asked Questions) Q: Is this course suitable for beginners in accounting? A: Absolutely! Our course is designed to accommodate learners of all levels, from beginners to seasoned professionals. We provide comprehensive instruction and support to ensure that everyone can benefit from the material. Q: How long does it take to complete the course? A: The duration of the course varies depending on your learning pace and schedule. On average, learners complete the course within [insert time frame], but you're welcome to progress at your own pace. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion to showcase your newfound skills and knowledge. Q: Is there any prerequisite knowledge required to enroll in the course? A: While prior knowledge of accounting basics may be helpful, it's not required. Our course is designed to cover fundamental concepts and build upon them as you progress. Q: Can I access the course materials on mobile devices? A: Yes, our course platform is optimized for mobile access, allowing you to learn on the go from your smartphone or tablet. Q: Are there any opportunities for networking or collaboration with other learners? A: Absolutely! Our course includes interactive discussions, group activities, and networking opportunities to foster collaboration and peer learning. ð Enroll Today and Transform Your Accounting Career! Don't miss out on this opportunity to unlock the full potential of business analysis for accounting. Enroll now in our 'Business Analysis for Accounting' course and take the first step toward a brighter, more rewarding future in accounting and finance. Your journey to success begins here! ððð¼ Course Curriculum Module 1 Introduction to Business Analysis in Accounting Introduction to Business Analysis in Accounting 00:00 Module 2 Financial Analysis and Reporting Financial Analysis and Reporting 00:00 Module 3 Forecasting and Predictive Modeling in Business Accounting Forecasting and Predictive Modeling in Business Accounting 00:00 Module 4 Risk Analysis and Decision-Making in Accounting Risk Analysis and Decision-Making in Accounting 00:00 Module 5 Decision Modeling and Optimization in Financial Analysis Decision Modeling and Optimization in Financial Analysis 00:00 Module 6 Integrating Business Analysis and Strategic Planning in Accounting Integrating Business Analysis and Strategic Planning in Accounting 00:00
Embark on a journey to master Microsoft Excel with our 'Excel Essentials for Office Administrators' course. Designed to transform beginners into proficient users, this comprehensive course is divided into two main sections: Excel Beginner and Excel Intermediate. In the initial phase, learners are introduced to the Excel interface, where they explore and identify its various elements. This is followed by practical activities such as creating basic worksheets, using the help system, and crafting formulas. As the course progresses, participants will delve into more advanced features like manipulating data, applying styles and formats, and managing worksheets. The intermediate section elevates your skills further, covering a wide range of topics from applying range names and specialized functions to creating sophisticated charts and PivotTables. Learning Outcomes Gain proficiency in navigating and utilizing the Excel interface. Develop the ability to create and manage complex worksheets effectively. Master a variety of Excel functions and formulas for diverse data processing needs. Learn advanced data management techniques including sorting, filtering, and using PivotTables. Acquire skills in visual data presentation and customization of Excel workbooks. Why choose this Excel Essentials for Office Administrators 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 Excel Essentials for Office Administrators course for? Office administrators and secretaries seeking to enhance their Excel skills. Professionals in various sectors requiring proficiency in Excel for data management. Students and individuals interested in learning Excel from a beginner to an intermediate level. Business owners needing to manage business data more efficiently. Anyone aiming to improve their productivity and data analysis skills through Excel. Career path Data Analyst: £25,000 - £50,000 Administrative Assistant: £18,000 - £30,000 Office Manager: £22,000 - £40,000 Business Analyst: £30,000 - £60,000 Financial Analyst: £28,000 - £55,000 Project Coordinator: £24,000 - £45,000 Prerequisites This Excel Essentials for Office Administrators does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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 Excel Beginner Identify the Elements of the Excel Interface 00:30:00 Activity - Identify the Elements of the Excel Interface 00:05:00 Create a Basic Worksheet 01:00:00 Activity - Create a Basic Worksheet 00:05:00 Use the Help System 00:30:00 Activity - Use the Help System 00:05:00 Create Formulas in a Worksheet 01:00:00 Activity - Create Formulas in a Worksheet 00:05:00 Insert Functions in a Worksheet 00:30:00 Activity - Insert Functions in a Worksheet 00:05:00 Reuse Formulas 00:30:00 Activity - Reuse Formulas 00:05:00 Manipulate Data 00:30:00 Activity - Manipulate Data 00:05:00 Insert, Manipulate, and Delete Cells, Columns, and Rows 00:30:00 Activity - Insert, Manipulate, and Delete Cells, Columns, and Rows 00:05:00 Search For and Replace Data 00:30:00 Activity - Search For and Replace Data 00:05:00 Spell Check a Worksheet 00:30:00 Activity - Spell Check a Worksheet 00:05:00 Modify Fonts 00:30:00 Activity - Modify Fonts 00:05:00 Add Borders and Colors to Cells 01:00:00 Activity - Add Borders and Colors to Cells 00:05:00 Apply Number Formats 00:30:00 Activity - Apply Number Formats 00:05:00 Align Cell Contents 00:30:00 Activity - Align Cell Contents 00:05:00 Apply Cell Styles 00:30:00 Activity - Apply Cell Styles 00:05:00 Define the Basic Page Layout for a Workbook 01:00:00 Activity - Define the Basic Page Layout for a Workbook 00:05:00 Refine the Page Layout and Apply Print Options 00:30:00 Activity - Refine the Page Layout and Apply Print Options 00:05:00 Format Worksheet Tabs 00:30:00 Activity - Format Worksheet Tabs 00:05:00 Manage Worksheets 00:30:00 Activity - Manage Worksheets 00:05:00 Manage the View of Worksheets and Workbooks 00:30:00 Activity - Manage the View of Worksheets and Workbooks 00:05:00 Customize General and Language Options 00:30:00 Activity - Customize General and Language Options 00:05:00 Customize Formula Options 00:30:00 Activity - Customize Formula Options 00:05:00 Customize Proofing and Save Options 01:00:00 Activity - Customize Proofing and Save Options 00:05:00 Customize the Ribbon and Quick Access Toolbar 00:30:00 Activity - Customize the Ribbon and Quick Access Toolbar 00:05:00 Customize the Functionality of Excel by Enabling Add-Ins 00:30:00 Activity - Customize the Functionality of Excel by Enabling Add-Ins 00:05:00 Customize Advanced and Trust Center Options 00:30:00 Activity - Customize Advanced and Trust Center Options 00:05:00 Activities and Exercise Files - Microsoft Excel 2016 for Beginners 00:00:00 Excel Intermediate Apply Range Names 00:30:00 Use Specialized Functions 00:30:00 Use Text Functions 00:30:00 Use Logical Functions 00:30:00 Use Lookup Functions 00:30:00 Use Date Functions 00:30:00 Use Financial Functions 00:30:00 Create and Modify Tables 00:30:00 Sort and Filter Data 00:30:00 Use Subtotal and Database Functions to Calculate Data 00:30:00 Create Charts 00:30:00 Modify and Format Charts 00:30:00 Create a Trendline 00:30:00 Create Advanced Charts 00:30:00 Create a PivotTable 00:30:00 Filter Data by Using Slicers 00:30:00 Analyze Data with PivotCharts 00:30:00 Insert and Modify Graphic Objects 00:30:00 Layer and Group Graphic Objects 00:30:00 Incorporate SmartArt 00:30:00 Customize Workbooks 00:30:00 Manage Themes 00:30:00 Create and Use Templates 00:30:00 Protect Files 00:30:00 Preparing a Workbook for Multiple Audiences 00:30:00 Activities and Exercise Files - Microsoft Excel 2016 Intermediate 00:00:00
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.
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
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