2506 Decision Making courses in Lytham St Annes delivered Online

Course Overview The Financial Engineering Courses – 8 Courses Bundle is a comprehensive training package designed to equip learners with a robust understanding of the mathematical, statistical, and analytical foundations of modern finance. This bundle merges core financial theories with quantitative models to support strategic financial decision-making. Learners will explore concepts ranging from derivatives pricing and risk modelling to portfolio optimisation and stochastic processes, gaining a solid foundation in the methodologies used in financial institutions and investment firms. By the end of the course, participants will be able to interpret financial models, assess risk frameworks, and contribute effectively to quantitative analysis roles. This course is particularly valuable for those aiming to strengthen their understanding of finance through an analytical lens, aligning with roles in investment banking, financial consultancy, or quantitative research. Course Description This course bundle offers eight interconnected modules covering a wide array of financial engineering topics. Learners will be introduced to financial mathematics, stochastic calculus, fixed income securities, options pricing, quantitative risk management, and algorithmic trading strategies. The programme provides an in-depth look into the mechanics of financial markets and the computational tools that underpin asset valuation and portfolio structuring. Through clear instruction and structured content, learners will build confidence in applying quantitative techniques and economic theory to real-world financial challenges. Emphasis is placed on theoretical rigour, analytical accuracy, and strategic application. Ideal for learners with a background or interest in finance, mathematics, or economics, this course supports a deeper understanding of financial markets and prepares participants for roles that require data-driven financial modelling and risk assessment skills. Course Modules Module 01: Introduction to Financial Engineering Module 02: Financial Mathematics and Modelling Techniques Module 03: Fixed Income Securities and Yield Curves Module 04: Derivatives and Options Pricing Theory Module 05: Quantitative Risk Management Fundamentals Module 06: Stochastic Processes in Finance Module 07: Portfolio Theory and Investment Analysis Module 08: Algorithmic and Computational Finance (See full curriculum) Bundle Instructions Access all eight courses through a single enrolment. Courses are self-paced and available online 24/7. Learners receive a certificate for each completed module. Support is available throughout the learning journey. Who is this course for? Individuals seeking to build a strong foundation in quantitative finance. Professionals aiming to advance their knowledge in financial modelling and analysis. Beginners with an interest in finance, mathematics, or data-driven investment theory. Graduates or career changers targeting roles in banking, analytics, or asset management. Career Path Quantitative Analyst Financial Risk Manager Investment Banking Analyst Asset or Portfolio Manager Financial Modelling Consultant Data Analyst in Financial Services Derivatives Pricing Specialist Economic Research Associate

Course Overview This advanced-level Project Management Level 7 course offers comprehensive training designed to develop strategic thinking, leadership acumen, and organisational proficiency. Covering the essential principles of professional project delivery, the course aligns with international frameworks such as PMBOK and PMI standards, giving learners a solid foundation in high-level project management methodologies. From global project execution to risk and quality management, participants will gain the skills to oversee complex initiatives, manage cross-functional teams, and navigate dynamic business environments. Emphasis is placed on critical areas such as change management, performance evaluation, and crisis response. By the end of the course, learners will be prepared to assume leadership roles in project-driven environments across diverse industries, demonstrating competency in managing time, resources, stakeholders, and strategic outcomes with confidence and clarity. Course Description This Level 7 course delves into advanced project management theories and practices, equipping learners with essential knowledge across the entire project lifecycle. Starting with foundational concepts and extending to global project frameworks, the curriculum includes modules on time, resource, and quality management, along with strategic planning, communication, and procurement. Learners will explore techniques for managing stress, conflict, and team performance, while also developing crisis response strategies and resilience planning. A strong focus is placed on leadership and stakeholder engagement, enabling participants to drive results through effective coordination and planning. Each module is structured to build critical thinking and decision-making capabilities suited for high-level responsibilities. By engaging with industry-relevant case studies and strategic planning exercises, learners will graduate with the insight required to lead organisational change, oversee multifaceted projects, and ensure long-term success within both public and private sectors. Course Modules: Module 01: Introduction to Project Management Module 02: PMBOK and PMI Module 03: Global Project Management Module 04: Project Life Cycle Module 05: Time Management Module 06: Quality Management Module 07: Effective Planning & Scheduling Module 08: Human Resource Management Module 09: Performance Management Module 10: Talent Management Module 11: Organising Meeting and Conferences Module 12: Managing Resources Module 13: Change Management Module 14: Business Resilience and Crisis Management Module 15: Conflict Management Module 16: Stress Management Module 17: Communication Skills Module 18: Procurement & Purchasing Management Module 19: Risk Management (See full curriculum) Who is this course for? Individuals seeking to progress into senior-level project roles. Professionals aiming to formalise their project management expertise. Beginners with an interest in leadership and organisational management. Team leaders or coordinators aspiring to manage large-scale projects. Career Path Project Manager Programme Director Business Change Manager Risk and Compliance Officer Operations Manager Strategic Planning Consultant Procurement and Contracts Manager Portfolio Manager Crisis and Resilience Coordinator

Unlock the secrets to successful sales and elevate your career with our Sales & Selling Management course. Master the art of effective sales presentations, negotiations, and customer relationships. Explore strategic planning, market analysis, and the synergy between marketing and sales. Develop essential skills in CRM, communication, and customer service. Join us to transform your approach to sales and achieve sustainable growth in today's competitive business landscape.

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

This Account & Finance Manager Course offers a detailed exploration of the essential principles and practices that underpin accounting and finance roles in modern businesses. Starting with foundational accounting concepts and standards, the course guides learners through core topics such as double-entry bookkeeping, balance sheets, income statements, and financial statements. It further expands to cover cash flow analysis, profit and loss understanding, and financial budgeting, providing a solid framework to manage company finances effectively. The curriculum is designed to build a clear understanding of accounting processes crucial for any managerial role in finance. Beyond accounting, the course delves into key finance and investment areas, including financial planning, wealth management, risk assessment, and investment strategy. Learners will also gain insights into specialised topics such as divorce financial planning and using tools like Google Analytics to enhance financial decision-making. Whether you aim to deepen your knowledge or refine your financial management capabilities, this course delivers relevant expertise suited for those managing accounts and finance operations in various industries. Key Benefits Accredited by CPD Instant e-certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Curriculum: Module 01: Introduction to Accounting Module 02: The Role of an Accountant Module 03: Accounting Concepts and Standards Module 04: Double-Entry Bookkeeping Module 05: Balance Sheet Module 06: Income statement Module 07: Financial statements Module 08: Cash Flow Statements Module 09: Understanding Profit and Loss Statement Module 10: Financial Budgeting and Planning Module 11: Auditing Finance & Investment Module 12: Introduction to Finance Module 13: Essential Skill for Financial Advisor Module 14: Financial Planning Module 15: Wealth Management and Guide to Make Personal Financial Statements Module 16: Financial Risk Management and Assessment Module 17: Investment Planning Module 18: Divorce Planning Module 19: Google Analytics for Financial Advisors Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Certificate Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Account & Finance Manager training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Account & Finance Manager training. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included

Stepping into an assistant manager role demands more than just a job title—it calls for confidence in decision-making, clarity in communication, and a sharp eye for detail. This Assistant Manager Training Course is designed to shape strong, capable leaders by covering essential supervisory duties, communication strategies, and techniques to manage people and performance effectively. Whether you're aiming to move up in your current role or simply refine your skills, this course delivers focused training across leadership, recruitment, office administration, conflict resolution, and time management. The course progresses through a well-organised series of modules, each designed to build your knowledge in key areas without overwhelming you. From understanding the role of supervision to mastering negotiation, managing workplace stress, and developing strong organisational habits, the content is packed with insight that matters. You’ll also explore cybersecurity basics, business writing, and how to lead meetings with confidence. This course offers a solid foundation for anyone looking to sharpen their ability to lead teams, manage operations smoothly, and support senior management with assurance. Key Benefits Accredited by CPD Instant e-certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Curriculum Module 01: Fundamentals of Supervisor Training Module 02: Understanding the Role of Supervision Module 03: Essential Skills in Supervision Module 04: Recruitment and Dismissal Module 05: Employee Management Module 06: Communication Skill Development Module 07: Conflict Management Module 08: Cybersecurity for Employees Module 09: Introduction to Office Administration Module 10: Skills of an Effective Administrator Module 11: Business Writing Skills Module 12: Managing Meetings and Giving Feedback Module 13: Organisational Skills Module 14: Negotiation Techniques Module 15: Conflict Management Module 16: Stress Management Module 17: Time Management Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Certificate Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Assistant Manager training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Assistant Manager training. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included

Business Management Course Overview This Business Management course provides learners with a comprehensive understanding of key management concepts and practices. Covering essential topics such as operations, business analysis, strategic planning, and risk management, the course equips learners with the necessary tools to handle various aspects of business management effectively. Through a blend of theoretical insights and applied learning, learners will develop the confidence to manage business operations, drive strategic growth, and navigate organisational challenges. The course is designed to provide value to individuals seeking to advance their management skills and progress in their careers. Course Description This course delves deeply into the core aspects of business management, providing a structured approach to understanding business operations, leadership, and decision-making. Learners will explore modules on business analysis, strategic management, and project development, as well as gain valuable skills in managing risk, performance, and human resources. The course covers critical areas including planning, forecasting, communication, and conflict management. By the end of the course, learners will have a broad understanding of how businesses operate and will be able to apply their learning to various management scenarios. Designed for those looking to enhance their management skills, the course ensures that learners gain a solid foundation in business management principles. Business Management Curriculum Module 01: Introduction to Business Management Module 02: Operations Management Module 03: Introduction to Business Analysis Module 04: Strategic Analysis and Product Scope Module 05: Project Management Module 06: Business Development and Succession Planning Module 07: Business Process Management Module 08: Planning & Forecasting Operations Module 09: Performance Management Module 10: Management of Cash and Credit Module 11: Managing Risk and Recovery Module 12: Quality Management Module 13: Communication Skills Module 14: Business Environment Module 15: Organisational Skills Module 16: Negotiation Techniques Module 17: Human Resource Management Module 18: Motivation and Counselling Module 19: Customer Service Module 20: Time Management Module 21: Conflict Management (See full curriculum) Who is this course for? Individuals seeking to build a career in business management. Professionals aiming to enhance their management and leadership skills. Beginners with an interest in business operations and management. Those looking to progress in roles related to business analysis, human resources, or strategic planning. Career Path Business Manager Operations Manager Project Manager HR Manager Strategic Planner Financial Analyst Customer Service Manager Risk Manager Organisational Development Specialist Performance Manager

Entrepreneurship: Startup your New Venture Course Overview This course provides a comprehensive introduction to entrepreneurship, guiding learners through the essential concepts and mindset required to start and grow a successful new venture. It covers the definition of entrepreneurship, the characteristics of entrepreneurs, and the fundamental elements that underpin enterprise development. Learners will gain insight into recognising opportunities, overcoming challenges such as poverty cycles, and distinguishing the entrepreneurial role from managerial functions. The course equips participants with the knowledge and skills necessary to evaluate their entrepreneurial potential and develop a strong foundation for launching their own business. Whether starting a venture or enhancing career prospects, learners will be empowered to approach entrepreneurship with confidence and strategic understanding. Course Description Entrepreneurship: Startup your New Venture explores the dynamic world of starting and managing new businesses, emphasising both theoretical and real-life examples to enhance understanding. The course delves into the core elements of entrepreneurship, including opportunity recognition, risk evaluation, and enterprise creation. Learners will engage with self-assessment exercises to identify entrepreneurial traits and distinguish between entrepreneurial and managerial roles. Throughout, the programme offers a balanced view of challenges and success factors, including the impact of socio-economic conditions on entrepreneurial activity. By the end, learners will have developed critical thinking and decision-making skills essential for aspiring entrepreneurs and those looking to contribute to enterprise growth across various industries. Entrepreneurship: Startup your New Venture Curriculum Module 01: Preview Module 02: Common Course Information Module 03: Who is an Entrepreneur? Module 04: The Criteria of Entrepreneurship Module 05: The Vicious Cycle of Poverty Module 06: Entrepreneur, Entrepreneurship and Enterprise: The Theory Module 07: Entrepreneur, Entrepreneurship and Enterprise: Live Example Module 08: Five Core Elements of Entrepreneurship: Part 1 Module 09: Five Core Elements of Entrepreneurship: Part 2 Module 10: Self Assessment: Is Maya Devi an Entrepreneur? Module 11: Self Assessment: Is Jacob an Entrepreneur? Module 12: Self Assessment: Is Jennet an Entrepreneur? Module 13: Difference Between an Entrepreneur and a Manager (See full curriculum) Who Is This Course For? Individuals seeking to start their own business venture. Professionals aiming to develop entrepreneurial skills for career growth. Beginners with an interest in business startups and enterprise development. Anyone wanting to understand the fundamentals of entrepreneurship and enterprise. Career Path Startup Founder or Owner Business Development Executive Small Business Consultant Enterprise Project Coordinator Innovation and Growth Strategist

Forensic Psychology: Forensic Psychology Would you like to work in the field of forensic psychology? If so, then you should try our special forensic psychology course. The forensic psychology course provides an interdisciplinary study of psychology and the legal system. The forensic psychology course includes criminal behaviour analysis, criminal profiling, and mental health evaluations in legal contexts. Moreover, the forensic psychology course covers eyewitness testimony, jury decision-making, and offender rehabilitation. Students in our forensic psychology course explore the application of psychological principles in criminal investigations and courtroom procedures. Additionally, this forensic psychology course teaches correctional settings. Enrol in our forensic psychology course to learn about ethical considerations and professional standards of this field. Learning outcome of forensic psychology course This forensic psychology course will teach about: Foundations of forensic psychology. The forensic psychology course teaches how to analyse criminal behaviour. Forensic interviewing and interrogation are also explained in this forensic psychology course. Criminal profiling and forensic psychopathology are also included in the forensic psychology course. Forensic psychology course teaches ethics in forensic psychology. Research methods in forensic psychology and forensic report writing are included in this forensic psychology course. Special Offers of this Forensic Psychology: Forensic Psychology Course This Forensic Psychology: Forensic Psychology includes a FREE PDF Certificate. Lifetime access to this Forensic Psychology: Forensic Psychology Course Instant access to this Forensic Psychology: Forensic Psychology Course Get FREE Tutor Support to this Forensic Psychology: Forensic Psychology Course Forensic Psychology: Forensic Psychology Unlock the mysteries of the human mind with our Forensic Psychology course. Dive deep into Forensic Psychology concepts, methodologies, and applications. Gain invaluable insights into Forensic Psychology practices and principles. Enroll now to embark on a journey into the fascinating world of Forensic Psychology. Don't miss out! Who is this course for? Forensic Psychology: Forensic Psychology Aspiring psychologists who are curious about how psychology and the judicial system interact should take this forensic psychology course. Requirements Forensic Psychology: Forensic Psychology Course To enrol this Forensic Psychology: Forensic Psychology Course, students must fulfil the following requirements. To join in our Forensic Psychology: Forensic Psychology Course, you must have a strong command of the English language. To successfully complete our Forensic Psychology: Forensic Psychology Course, you must be vivacious and self driven. To complete our Forensic Psychology: Forensic Psychology Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Forensic Psychology: Forensic Psychology Course. Career path Forensic Psychology: Forensic Psychology Enrolling in a forensic psychology course might lead to a multitude of professional opportunities.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? 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 Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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 Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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) 00:37:00 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00