2385 Intelligence courses in Manchester delivered On Demand

The MindGYM is a brain training App that works scientifically to develop the neuroplasticity of your mind, so you can become a creative and innovative genius, thinking quicker in super-states of creativity and creative people-solving, whilst in gamma and theta brain waves of flow state and hemispheric synchronisation. You will be able to tap into boundless energy, and develop your physical and mental capabilities. In effect, the app gives you the mind and the body, to manifest into your life of your greatest desire.

Ascend to the next level of Excel proficiency with our comprehensive Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course. This in-depth training will equip you with the skills to create sophisticated dashboards using advanced Excel formulas, VBA, and Power Query, empowering you to transform raw data into actionable insights. Master the art of financial modeling with our prepaid expenses models, learning how to calculate amortization schedules and create detailed summaries using Excel formulas. Delve into the power of Power Query to effortlessly manipulate and analyze large datasets, building dynamic dashboards without the limitations of formulas. Learning Outcomes Gain proficiency in creating automated dashboards using advanced Excel formulas, VBA, and Power Query Develop expertise in financial modeling using prepaid expenses models Master the calculation of amortization schedules and prepaid expenses summaries Implement Power Query to manipulate and analyze large datasets Create dynamic dashboards without the limitations of formulas Enhance your Excel skills and data analysis capabilities Why choose this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 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 Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course for? Accounting and finance professionals seeking to enhance their Excel skills for financial modeling and dashboard creation Business analysts and data analysts aiming to expand their expertise in data manipulation and visualization Excel enthusiasts interested in mastering advanced Excel formulas, VBA, and Power Query Individuals seeking to create interactive and insightful dashboards for data-driven decision-making Anyone seeking to elevate their Excel skills and become a proficient data analyst Career path Financial Analyst (£35,000 - £55,000) Business Analyst (£40,000 - £60,000) Data Analyst (£45,000 - £65,000) Management Accountant (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Financial Analyst (£50,000 - £70,000) Prerequisites This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 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 Introduction Course Outline and Introduction 00:04:00 Minimum Requirements for the Course 00:01:00 Prepayments Introduction 00:01:00 Prepaid Expenses Models: Resources Download Month End Date Prepaid Expenses Amortization Calculation 00:00:00 Exact Prepaid Expenses Payment Date Calculation 00:00:00 Accounting for Prepaid Expenses Prepaid Expenses Accounting Definition: Prepayments 00:03:00 Prepaid Expense Example: How Accounting works for Prepayments 00:03:00 Advantages and Disadvantages of Prepaid Expenses 00:03:00 Excel Formulas Detailed: Introduction to three Excel Models Introduction to PRO Excel Models and Formulas 00:06:00 Date Function 00:05:00 EOMONTH Function 00:04:00 DATEVALUE function 00:03:00 IF Function 00:08:00 IFS Function (Office 365 Only) 00:07:00 VLOOKUP Function 00:07:00 MATCH Function 00:05:00 INDIRECT Function 00:02:00 NAMED Ranges: Name Manager 00:03:00 Advanced Version of VLOOKUP Function 00:07:00 Formula Based Prepaid Expenses Model Introduction to Model and Control Panel Tab (Important Sheet Tab) 00:08:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 1) 00:05:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 2) 00:06:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 3) 00:06:00 IFS Function - Month End date Prepayment calculation 00:04:00 Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary) 00:09:00 Protecting Formulas Cells and Fields in the Model 00:04:00 Calculate Prepaid Expenses Amortisation from Exact Start Date Exact Date Prepaid Amortisation calculation Intro 00:03:00 Formulas update and Model Changes for Exact Prepaid Exps Calculation 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1) 00:04:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2) 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3) 00:02:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4) 00:07:00 IFS Function - Exact Date Prepayments Amortisation 00:04:00 Data Validation Controls (Enhancing Data Input Controls with Protection) 00:10:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 1) 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 2) 00:09:00 Additional Material: Resources 00:00:00 Prepaid Expenses Summary with Power Query and Pivot Table Power Query and Pivot Table Prepayment Summary Table Intro 00:06:00 What is Power Query and Some Awesome Resources for Power Query learning 00:07:00 Power Query and Pivot Table Summary - Deep Dive (Part 1) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 2) 00:04:00 Power Query and Pivot Table Summary - Deep Dive (Part 3) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 4) 00:09:00 Using Array Formulas to Add Formula Protection 00:04:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1 00:02:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version) 00:13:00 Advanced VBA Prepaid Expenses Amortisation Model Changing Macros Security in Excel 00:05:00 Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model 00:06:00 Bonus : New Version - Excel VBA Model for Prepayment Expenditure 00:08:00 BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way Dynamic Dashboard Overview 00:07:00 Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets 00:08:00 Creating Dynamic Data Validation 00:02:00 Creating Named Ranges for Dynamic Table Arrays 00:03:00 Dynamic Date Column Headings for each Divisional PL Table 00:02:00 Dynamic Month and YTD Dashboard tables headings (PRO TIP) 00:03:00 Dynamic VLOOKUP Formula - Preparing First section of the Dashboard 00:04:00 Creating Rolling Dashboard with Dynamic VLOOKUP Function 00:08:00 IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP) 00:03:00 Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function) 00:05:00 Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit 00:05:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1) 00:03:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2) 00:06:00 Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed 00:05:00 Understanding the data files before building dashboard 00:02:00 Consolidating Reports with Power Query (Get & Transform) , How to install PQ 00:08:00 Dynamic File Path Trick in Power Query with Parameters (Amazing trick) 00:06:00 Conditional Cumulative totals with SUMIFS Function 00:04:00 Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code) 00:06:00 Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise 00:06:00 Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast) 00:08:00 Dashboard Creation - Line Charts 00:08:00 Update Dashboard with Additional Divisional Data with Few Click (Magical) 00:03:00 Thank you Thank you 00:02:00 Ultimate Prepaid Expenditure Model (Super Bonus) 00:02:00 Resources Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 00:00:00 Assignment Assignment - Microsoft Excel: Automated Dashboard Using Advanced Formula VBA Power Query 00:00:00

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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 Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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 £135 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 Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Are you intrigued by how speech recognition is driving the growth of the AI market? This course is a reliable guide if you're looking to pursue a career as a speech recognition professional and understand industry best practices.

Your ability to think is probably your greatest asset at work. Everything you say and do will be touched in some way by what is going on in your mind. Most certainly, performance and achievements are a direct function of your thinking abilities. This course looks at the skills of mental agility, conceptual and analytical thinking. Together, these skills allow you to conceive and form ideas in a practical sense and draw the right conclusions.

If data had a fan club, analysts would be the VIP members. This 8-in-1 online bundle offers a structured dive into the data world—from input to insight. With modules in SQL, Python, Microsoft Access, Tableau, Google Analytics, and more, it covers the tools that analysts actually use when trying to make sense of endless spreadsheets. You’ll start with data entry foundations and move through analysis techniques, database management, and visualisation. The goal? To help you read, question, and communicate data without turning it into a maths lesson. Whether you’re new to analytics or brushing up on tools, this bundle is here to turn data into something slightly more interesting than... well, a spreadsheet. 🎯 Learning Outcomes: Understand core data analysis methods across common tools. Learn SQL for querying and managing structured data sets. Apply Python for basic data organisation and automation. Use Tableau and Google tools for visual data presentation. Gain data entry and database management understanding. Analyse online performance through Google Analytics platforms. 👤 Who is this Course For: Aspiring data analysts building core tool knowledge. Marketing professionals interested in online performance stats. Admins needing database and data entry foundations. Junior developers exploring data-related workstreams. Business analysts reviewing structured analysis methods. Freelancers handling data-heavy client tasks. Entrepreneurs reviewing user behaviour via Google tools. Graduates seeking online data training for job roles. 💼 Career Path (UK Average Salaries): Data Analyst – £38,000 per year Business Intelligence Analyst – £42,000 per year Data Entry Administrator – £24,000 per year SQL Analyst – £40,000 per year Marketing Data Analyst – £36,000 per year Analytics Coordinator – £34,000 per year

🚀 AI & Project Management Masterclass 🚀 Curious about AI in project management but not sure where to start? This fun, no-nonsense masterclass, led by Nadege Minois, will guide you through 7 key questions to ask before diving into AI. Learn how to integrate AI smoothly, avoid common pitfalls, and understand the ethics of using it in your projects—all without needing to code! Perfect for project managers ready for the future. 💡 Ready to level up? Join us and find out if AI is the game-changer your projects need! 👉 Book your spot now!

The aim of the course Stock Analysis and Valuation is to provide students with a deep understanding of how to evaluate the financial health and value of publicly traded companies.After the successful completion of the course, you will be able to learn about the following, Understand the valuation of Stocks using Macro and Micro Valuations. Understand the use of Absolute Valuation or Discounted Cash Flow methods. Learn concepts in Stock Portfolio Management. The course "Stock Analysis and Valuation" is designed to provide students with a comprehensive understanding of the techniques and methods used in analyzing and valuing publicly traded companies. The course will cover the fundamental principles of financial analysis, competitive analysis, and valuation, and will provide students with practical skills in financial modeling, forecasting, and valuation. The course "Stock Analysis and Valuation" is designed to provide students with a comprehensive understanding of the techniques and methods used in analyzing and valuing publicly traded companies. The course will cover the fundamental principles of financial analysis, competitive analysis, and valuation, and will provide students with practical skills in financial modeling, forecasting, and valuation. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Stock Analysis and Valuation Self-paced pre-recorded learning content on this topic. Stock Analysis and Valustion Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Equity Analyst Investment Analyst Financial Analyst Valuation Specialist Portfolio Manager Research Analyst Fund Manager Asset Manager Investment Banker Private Equity Analyst Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.

Introduction to Psychology: Introduction to Psychology Course Online The study of the human mind and behaviour is known as psychology. There are no more important topics in the information age and global economy than a thorough understanding of how learning occurs and what predicts and determines human behaviour. This Introduction to Psychology course provides meaningful content to help students understand the human condition and inspire them to continue their professional growth. Learning Objectives By the end of the Introduction to Psychology course, the learner will be able to: Understand the fundamentals of psychology. Understand the Evolution of Psychology. Know Sensation and Perception. Understand the States of Consciousness. Gain in-depth knowledge about Learning. Have a clear understanding of memories and forgetting. Explain Thinking and Intelligence. Understand Emotion and Motivation. Understand Human Development. Understand Personality. Understand Social Psychology. Recognise Psychological Disorders. Know Health Stress and Coping. Treat Psychological Disorders. This Introduction to Psychology course focuses on a different aspect of psychology, such as the field's distinctive and colourful history and philosophical roots, unsuccessful research experiments and their impact on psychological ethics, and how the discipline has changed over time. Although throughout this Introduction to Psychology course, you will learn about the history and key figures in psychology, you will also gain an in-depth knowledge of the many processes and theories used in developmental psychology. Main Course: Introduction to Psychology Free Courses Course 01: Diploma in Counselling and Psychology Course 02: Diploma in Mastering Psychology [ Note: Free PDF certificate as soon as completing the Introduction to Psychology: Introduction to Psychology Course] Introduction to Psychology: Introduction to Psychology Course Online Course Curriculum of Introduction to Psychology Module 01: Introducing Psychology Module 02: The Evolution of Psychology: Central Questions, History, and Contemporary Perspectives Module 03: Sensation and Perception Module 04: States of Consciousness Module 05: Learning Module 06: Memories and Forgetting Module 07: Thinking and Intelligence Module 08: Emotion and Motivation Module 09: Human Development Module 10: Personality Module 11: Social Psychology Module 12: Psychological Disorders Module 13: Treating Psychological Disorders Module 14: Health Stress and Coping Assessment Method of Introduction to Psychology: Introduction to Psychology Course After completing Introduction to Psychology Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Introduction to Psychology: Introduction to Psychology Course After completing the Introduction to Psychology course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Introduction to Psychology: Introduction to Psychology Course Online This comprehensive Introduction to Psychology: Introduction to Psychology Course is designed for anyone who wants to improve their job prospects or advance their career in this field by learning more about psychology and counselling. Requirements Introduction to Psychology: Introduction to Psychology Course Online To enrol in this Introduction to Psychology: Introduction to Psychology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Introduction to Psychology Course. Be energetic and self-motivated to complete our Introduction to Psychology Course. Basic computer Skill is required to complete our Introduction to Psychology Course. If you want to enrol in our Introduction to Psychology: Introduction to Psychology Course, you must be at least 15 years old. Career path Introduction to Psychology: Introduction to Psychology Course Online This Introduction to Psychology: Introduction to Psychology Course can lead you to the following career paths: Psychologist Psychology Teacher Psychology Assistant