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Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python 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 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

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Overview This comprehensive course on Data Visualization and Reporting with Power BI will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Visualization and Reporting with Power BI 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 Data Visualization and Reporting with Power BI. It is available to all students, of all academic backgrounds. Requirements Our Data Visualization and Reporting with Power BI 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 15 sections • 140 lectures • 14:25:00 total length •Welcome!: 00:01:00 •What is Power BI?: 00:03:00 •Download & Installing Power BI Desktop: 00:04:00 •Getting to know the interface: 00:03:00 •Mini Project: Transform Data: 00:07:00 •Mini Project: Visualize Data: 00:05:00 •Mini Project: Creating a Data Model: 00:07:00 •Course Outline: What will you learn in this course?: 00:05:00 •How to learn best with this course?: 00:03:00 •Creating our initial project file: 00:04:00 •Working with the attached project files: 00:04:00 •Exploring the Query Editor: 00:06:00 •Connecting to our data source: 00:07:00 •Editing rows: 00:08:00 •Changing data types: 00:08:00 •Replacing values: 00:03:00 •Close & Apply: 00:03:00 •Connecting to a csv file: 00:03:00 •Connecting to a web page: 00:05:00 •Extracting characters: 00:06:00 •Splitting & merging columns: 00:09:00 •Creating conditional columns: 00:06:00 •Creating columns from examples: 00:09:00 •Merging Queries: 00:17:00 •Pivoting & Unpivoting: 00:06:00 •Appending Queries: 00:08:00 •Practice & Solution: Population table: 00:15:00 •The Fact-Dimension-Model: 00:09:00 •Practice: Load the dimension table: 00:04:00 •Organizing our queries in groups: 00:03:00 •Entering data manually: 00:05:00 •Creating an index column: 00:03:00 •Workflow & more transformations: 00:05:00 •Module summary: 00:05:00 •Exercise 1 - Instruction: 00:02:00 •Exercise 1 - Exercise Solution: 00:11:00 •Advanced Editor - Best practices: 00:09:00 •Performance: References vs. Duplicating: 00:10:00 •Performance: Enable / Disable Load & Report Refresh: 00:05:00 •Group by: 00:05:00 •Mathematical Operations: 00:05:00 •Run R Script: 00:15:00 •Using Parameters to dynamically transform data: 00:06:00 •M formula language: Basics: 00:07:00 •M formula language: Values, Lists & Tables: 00:14:00 •M formula language: Functions: 00:13:00 •M formula language: More functions & steps: 00:05:00 •Exercise 2 - Instructions: 00:01:00 •Exercise 2 - solution: 00:05:00 •Understanding the relationship: 00:05:00 •Create & edit relationships: 00:06:00 •One-to-many & one-to-one relationship: 00:06:00 •Many-to-many (m:n) relationship: 00:08:00 •Cross filter direction: 00:06:00 •Activate & deactivate relationships: 00:06:00 •Model summary: 00:03:00 •Exercise 3 Create Model: 00:02:00 •Exercise 3 Solution: 00:02:00 •Our first visual: 00:08:00 •The format tab: 00:12:00 •Understanding tables: 00:10:00 •Conditional formatting: 00:09:00 •The Pie Chart: 00:06:00 •All about the filter visual: 00:13:00 •The filter pane for developers: 00:09:00 •Cross filtering & edit interactions: 00:04:00 •Syncing slicers across pages: 00:07:00 •Creating drill downs: 00:08:00 •Creating drill throughs: 00:07:00 •The tree map visual: 00:07:00 •The decomposition tree: 00:05:00 •Understanding the matrix visual: 00:05:00 •Editing pages: 00:07:00 •Buttons & Actions: 00:09:00 •Bookmarks to customize your report: 00:10:00 •Analytics and Forecasts with line charts: 00:10:00 •Working with custom visuals: 00:07:00 •Get data using R Script & R Script visual: 00:08:00 •Asking questions - Q&A visual: 00:04:00 •Wrap up - data visualization: 00:08:00 •Python in Power BI - Plan of attack: 00:03:00 •Setting up Python for Power BI: 00:03:00 •Transforming data using Python: 00:11:00 •Creating visualizations using Python: 00:08:00 •Violin plots, pair plots & ridge plots using Python: 00:15:00 •Machine learning (BayesTextAnalyzer) using Python: 00:00:00 •Performance & Troubleshooting: 00:03:00 •Introduction: 00:01:00 •Show Empathy & Identify the Requirement: 00:03:00 •Finding the Most Suitable KPI's: 00:02:00 •Choose an Effective Visualization: 00:04:00 •Make Use of Natural Reading Pattern: 00:03:00 •Tell a Story Using Visual Cues: 00:05:00 •Avoid Chaos & Group Information: 00:02:00 •Warp Up - Storytelling with Data: 00:02:00 •Introduction: 00:03:00 •The project data: 00:04:00 •Measures vs. Calculated Columns: 00:15:00 •Automatically creating a date table in DAX: 00:08:00 •CALENDAR: 00:05:00 •Creating a complete date table with features: 00:04:00 •Creating key measure table: 00:03:00 •Aggregation functions: 00:06:00 •The different versions of COUNT: 00:14:00 •SUMX - Row based calculations: 00:09:00 •CALCULATE - The basics: 00:11:00 •Changing the context with FILTER: 00:07:00 •ALL: 00:08:00 •ALL SELECTED: 00:03:00 •ALL EXCEPT: 00:07:00 •How to go on now?: 00:03:00 •Power BI Pro vs Premium & Signing up: 00:04:00 •Exploring the interface: 00:04:00 •Discovering your workspace: 00:03:00 •Connecting Power BI Desktop & Cloud: 00:04:00 •Understanding datasets & reports: 00:03:00 •Working on reports: 00:04:00 •Updating reports from Power BI Desktop: 00:04:00 •Creating and working with workspaces: 00:07:00 •Installing & using a data gateway: 00:13:00 •Get Quick Insights: 00:03:00 •Creating dashboards: 00:04:00 •Sharing our results through Apps: 00:10:00 •Power BI Mobile App: 00:05:00 •Creating the layout for the Mobile App: 00:04:00 •Wrap up - Power BI Cloud: 00:07:00 •Introduction: 00:03:00 •Creating a Row-Level Security: 00:05:00 •Row-Level Security in the Cloud: 00:04:00 •Row-Level Security & Data Model: 00:05:00 •Dynamic Row-Level Security: 00:07:00 •Dynamic Many-to-Many RLS: 00:04:00 •Hierarchical Row-Level Security: 00:13:00 •JSON & REST API: 00:10:00 •Setting up a local MySQL database: 00:14:00 •Connecting to a MySQL database in Power BI: 00:05:00 •Connecting to a SQL database (PostgreSQL): 00:05:00 •Congratulations & next steps: 00:06:00 •The End: 00:01:00 •Resources - Data Visualization and Reporting with Power BI: 00:00:00

Overview This comprehensive course on Complete Microsoft Power BI 2021 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Complete Microsoft Power BI 2021 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 Complete Microsoft Power BI 2021. It is available to all students, of all academic backgrounds. Requirements Our Complete Microsoft Power BI 2021 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 15 sections • 140 lectures • 14:25:00 total length •Welcome!: 00:01:00 •What is Power BI?: 00:03:00 •Download & Installing Power BI Desktop: 00:04:00 •Getting to know the interface: 00:03:00 •Mini Project: Transform Data: 00:07:00 •Mini Project: Visualize Data: 00:05:00 •Mini Project: Creating a Data Model: 00:07:00 •Course Outline: What will you learn in this course?: 00:05:00 •How to learn best with this course?: 00:03:00 •Creating our initial project file: 00:04:00 •Working with the attached project files: 00:04:00 •Exploring the Query Editor: 00:06:00 •Connecting to our data source: 00:07:00 •Editing rows: 00:08:00 •Changing data types: 00:08:00 •Replacing values: 00:03:00 •Close & Apply: 00:03:00 •Connecting to a csv file: 00:03:00 •Connecting to a web page: 00:05:00 •Extracting characters: 00:06:00 •Splitting & merging columns: 00:09:00 •Creating conditional columns: 00:06:00 •Creating columns from examples: 00:09:00 •Merging Queries: 00:17:00 •Pivoting & Unpivoting: 00:06:00 •Appending Queries: 00:08:00 •Practice & Solution: Population table: 00:15:00 •The Fact-Dimension-Model: 00:09:00 •Practice: Load the dimension table: 00:04:00 •Organizing our queries in groups: 00:03:00 •Entering data manually: 00:05:00 •Creating an index column: 00:03:00 •Workflow & more transformations: 00:05:00 •Module summary: 00:05:00 •Exercise 1 - Instruction: 00:02:00 •Exercise 1 - Exercise Solution: 00:11:00 •Advanced Editor - Best practices: 00:09:00 •Performance: References vs. Duplicating: 00:10:00 •Performance: Enable / Disable Load & Report Refresh: 00:05:00 •Group by: 00:05:00 •Mathematical Operations: 00:05:00 •Run R Script: 00:15:00 •Using Parameters to dynamically transform data: 00:06:00 •M formula language: Basics: 00:07:00 •M formula language: Values, Lists & Tables: 00:14:00 •M formula language: Functions: 00:13:00 •M formula language: More functions & steps: 00:05:00 •Exercise 2 - Instructions: 00:01:00 •Exercise 2 - solution: 00:05:00 •Understanding the relationship: 00:05:00 •Create & edit relationships: 00:06:00 •One-to-many & one-to-one relationship: 00:06:00 •Many-to-many (m:n) relationship: 00:08:00 •Cross filter direction: 00:06:00 •Activate & deactivate relationships: 00:06:00 •Model summary: 00:03:00 •Exercise 3 Create Model: 00:02:00 •Exercise 3 Solution: 00:02:00 •Our first visual: 00:08:00 •The format tab: 00:12:00 •Understanding tables: 00:10:00 •Conditional formatting: 00:09:00 •The Pie Chart: 00:06:00 •All about the filter visual: 00:13:00 •The filter pane for developers: 00:09:00 •Cross filtering & edit interactions: 00:04:00 •Syncing slicers across pages: 00:07:00 •Creating drill downs: 00:08:00 •Creating drill throughs: 00:07:00 •The tree map visual: 00:07:00 •The decomposition tree: 00:05:00 •Understanding the matrix visual: 00:05:00 •Editing pages: 00:07:00 •Buttons & Actions: 00:09:00 •Bookmarks to customize your report: 00:10:00 •Analytics and Forecasts with line charts: 00:10:00 •Working with custom visuals: 00:07:00 •Get data using R Script & R Script visual: 00:08:00 •Asking questions - Q&A visual: 00:04:00 •Wrap up - data visualization: 00:08:00 •Python in Power BI - Plan of attack: 00:03:00 •Setting up Python for Power BI: 00:03:00 •Transforming data using Python: 00:11:00 •Creating visualizations using Python: 00:08:00 •Violin plots, pair plots & ridge plots using Python: 00:15:00 •Machine learning (BayesTextAnalyzer) using Python: 00:00:00 •Performance & Troubleshooting: 00:03:00 •Introduction: 00:01:00 •Show Empathy & Identify the Requirement: 00:03:00 •Finding the Most Suitable KPI's: 00:02:00 •Choose an Effective Visualization: 00:04:00 •Make Use of Natural Reading Pattern: 00:03:00 •Tell a Story Using Visual Cues: 00:05:00 •Avoid Chaos & Group Information: 00:02:00 •Warp Up - Storytelling with Data: 00:02:00 •Introduction: 00:03:00 •The project data: 00:04:00 •Measures vs. Calculated Columns: 00:15:00 •Automatically creating a date table in DAX: 00:08:00 •CALENDAR: 00:05:00 •Creating a complete date table with features: 00:04:00 •Creating key measure table: 00:03:00 •Aggregation functions: 00:06:00 •The different versions of COUNT: 00:14:00 •SUMX - Row based calculations: 00:09:00 •CALCULATE - The basics: 00:11:00 •Changing the context with FILTER: 00:07:00 •ALL: 00:08:00 •ALL SELECTED: 00:03:00 •ALL EXCEPT: 00:07:00 •How to go on now?: 00:03:00 •Power BI Pro vs Premium & Signing up: 00:04:00 •Exploring the interface: 00:04:00 •Discovering your workspace: 00:03:00 •Connecting Power BI Desktop & Cloud: 00:04:00 •Understanding datasets & reports: 00:03:00 •Working on reports: 00:04:00 •Updating reports from Power BI Desktop: 00:04:00 •Creating and working with workspaces: 00:07:00 •Installing & using a data gateway: 00:13:00 •Get Quick Insights: 00:03:00 •Creating dashboards: 00:04:00 •Sharing our results through Apps: 00:10:00 •Power BI Mobile App: 00:05:00 •Creating the layout for the Mobile App: 00:04:00 •Wrap up - Power BI Cloud: 00:07:00 •Introduction: 00:03:00 •Creating a Row-Level Security: 00:05:00 •Row-Level Security in the Cloud: 00:04:00 •Row-Level Security & Data Model: 00:05:00 •Dynamic Row-Level Security: 00:07:00 •Dynamic Many-to-Many RLS: 00:04:00 •Hierarchical Row-Level Security: 00:13:00 •JSON & REST API: 00:10:00 •Setting up a local MySQL database: 00:14:00 •Connecting to a MySQL database in Power BI: 00:05:00 •Connecting to a SQL database (PostgreSQL): 00:05:00 •Congratulations & next steps: 00:06:00 •The End: 00:01:00 •Resources - Complete Microsoft Power BI 2021: 00:00:00

Overview This comprehensive course on Positive Psychology Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Positive Psychology Masterclass 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 Positive Psychology Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Positive Psychology Masterclass is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 13 sections • 164 lectures • 08:40:00 total length •Create Capacity for True Success: 00:06:00 •Disconnect From the Grind: 00:04:00 •Create the Routine to Disconnect: 00:02:00 •Commit To the Disconnect Process: 00:02:00 •Activity: Define Your Disconnect Time: 00:02:00 •Stop Negative Self-Talk In Its Tracks: 00:05:00 •Identify Your Source of Pain: 00:01:00 •Acknowledge the Negative Thought: 00:02:00 •Define Yourself Relative to the Thought: 00:04:00 •Describe a New Reality: 00:04:00 •Verbalize the Positive Thought: 00:03:00 •Activity: Release a Negative Thought: 00:02:00 •Keep Your Joy Intact and Healthy With Positive Thoughts: 00:03:00 •Play the Vulnerability Game: 00:02:00 •Create Healthy Boundaries to Stay Positive: 00:03:00 •Make Your Process Attainable: 00:02:00 •Activity: Make Your Positivity a Reality: 00:01:00 •Become a Grounded Person Others Are Attracted To: 00:08:00 •Identify What Gives You Anxiety and Frustrations: 00:02:00 •Assume You're Not Grounded: 00:06:00 •Track What You Feel Obligated to Do: 00:04:00 •Identify When You Can't Turn Your Mind Off: 00:02:00 •Activity: Identify What Gives You Anxiety and Frustrations: 00:02:00 •Ground Yourself in A Positive Way: 00:03:00 •Assume You Are Not Fully Grounded: 00:02:00 •Assume You Have Nothing to Prove to Anybody: 00:01:00 •Set Aside Enough Time To Become Grounded: 00:02:00 •Discover the Grounding Breathing Exercise: 00:04:00 •Discover the Grounding Finger Exercise: 00:03:00 •Apply These Physical Grounding Exercises Daily In Your Life: 00:03:00 •Activity: Ground Yourself in A Positive Way: 00:02:00 •Solve Your Anxiety with Gratitude: 00:07:00 •Create a Gratitude Journal: 00:01:00 •Activity: Solve Your Anxiety with Gratitude: 00:01:00 •Solve Your Frustrations by Turning Them Around: 00:13:00 •Activity: Solve Your Frustrations by Turning Them Around: 00:01:00 •Be Significant Consistently: 00:10:00 •Become More Curious (Vs. Impressive) with People: 00:05:00 •Employ Curiosity Daily to Boost Your Positivity: 00:10:00 •Activity: Boost Your Baseline Positivity with Curiosity: 00:02:00 •Become a Good Judge of Character: 00:05:00 •Employ Character Assessing Questions: 00:04:00 •Assess Character during Conversation: 00:03:00 •Activity: Define and Identify High-Character for Yourself: 00:01:00 •Give and Expect Nothing In Return: 00:05:00 •Avoid Survival Mode: 00:02:00 •Activity: Be Comfortable Being Overt About Giving: 00:01:00 •Make People Feel Safe around You: 00:03:00 •Create Gratitude, Curiosity, and Optimism: 00:02:00 •Express Gratitude: 00:02:00 •Develop Curiosity: 00:02:00 •Practice Optimism: 00:02:00 •Activity: Enhance Your Three P's Of Mental Aptitude: 00:01:00 •Stay Even-Tempered and Patient: 00:04:00 •Recognize When You Are Being a Hare and Discourage the Rat: 00:03:00 •Activity: Map Your Positive Vision for Your Life: 00:02:00 •Maintain Responsibility and Realism: 00:02:00 •Set Positive, Realistic Goals Responsibly: 00:06:00 •Activity: Be Responsible For a Realistic Vision: 00:01:00 •Keep Your Hard Work from Going out The Window: 00:05:00 •Master Your Character and Concentration: 00:04:00 •Turn Around Character-Lacking Behaviors: 00:05:00 •Master Your Focus: 00:05:00 •Activity: Concentrate On Your Character to Master Positivity: 00:01:00 •Master Your Confidence and Courage: 00:02:00 •Grow the Seeds of Confidence: 00:03:00 •Have Courage to Put Your Confidence to Work: 00:03:00 •Use Courage to Grow Confidence: 00:02:00 •Activity: Grow Your Confidence and Courage: 00:02:00 •Identify and Mastery Your Capacity: 00:06:00 •Stabilize the Rollercoaster with Consistency: 00:05:00 •Activity: Manage Your Capacity and Consistency: 00:02:00 •How to Overcome Constant Negativity: 00:05:00 •Let Go of Holding Grudges: 00:03:00 •Redefine Your Success in Challenging Situations: 00:02:00 •Examine Non-Successful Situations: 00:01:00 •Determine Your Control over Upsetting Events: 00:02:00 •Activity: Release a Grudge: 00:02:00 •Be Difficult To Offend: 00:03:00 •Become Others-Focused: 00:05:00 •Activity: Write an Others-Focused Mission Statement: 00:01:00 •Neutralize Toxic People: 00:07:00 •Neutralize Toxic People Already In Your Life: 00:05:00 •Activity: Neutralize Toxic People: 00:02:00 •Don't Just Talk About 'It,' Be 'It': 00:04:00 •Identify How Gritty You Are: 00:01:00 •Describe Your Own Grit: 00:01:00 •Activity: Take the Grit Scale Assessment: 00:02:00 •Set Up Your Environment for Self-Control: 00:02:00 •Get Some Sleep: 00:01:00 •Purge Yourself of Negativity: 00:02:00 •Follow a Healthy, Daily Routine: 00:01:00 •Live With Zest and Excitement: 00:01:00 •Rise Up and Be Real: 00:02:00 •Activity: Incorporate the Five Healthy/Daily Habits in Your Life: 00:02:00 •Make Your Grit Sustainable: 00:02:00 •Direct Yourself to Sustained Grit: 00:02:00 •Focus On Solutions, Not Problems: 00:02:00 •Activity: Self-Coach To Sustain Your Grit: 00:01:00 •Become More Comfortable In Your Own Skin: 00:06:00 •Become More Relaxed: 00:02:00 •Work On Yourself to Help Others: 00:05:00 •Try a Form of Meditation: 00:02:00 •Activity: Create a Gratitude List: 00:01:00 •Get Physically Fit: 00:10:00 •Exercise to Feel Alive: 00:04:00 •Get to Sleep: 00:03:00 •Activity: Identify New Positive Healthy Habits: 00:01:00 •Develop Strong Body Language: 00:04:00 •Make a Strong First Impression: 00:04:00 •Make Eye Contact: 00:03:00 •Present Good Posture: 00:03:00 •Activity: Develop Strong Body Language: 00:02:00 •Practice the Respect That People Gravitate Toward: 00:04:00 •Identify Positive Boundaries: 00:04:00 •Demonstrate Positive Boundary Practices: 00:04:00 •Protect Your Mental and Emotional Health: 00:03:00 •Activity: Identify Your Positive Boundaries: 00:01:00 •Recognize Boundaries Where You Fall Short: 00:02:00 •Create Your Own Boundaries: 00:03:00 •Make Creating and Evaluating Them Routine: 00:02:00 •Activity: Reign in Your Boundary Short-Comings: 00:02:00 •Use Grit to Enforce: 00:02:00 •Use Conative Strengths to Enforce: 00:03:00 •Determine Your Boundary Enforcement Helpers: 00:02:00 •Activity: Enforce Your Boundaries: 00:01:00 •Become the Person You Are Meant To Be: 00:07:00 •Know Yourself through Strengths and Weaknesses: 00:07:00 •Solicit Input from Leaders: 00:03:00 •Enhance Your Strengths: 00:03:00 •Activity: Self-Identify Your Strengths: 00:01:00 •Embrace Change in Your Life: 00:04:00 •Become Proactive To Welcome Change In Your Life: 00:08:00 •Activity: Embrace Change to Achieve a Goal: 00:01:00 •Learn To Say 'No': 00:09:00 •Learn To Say No To Other Non-Key Commitments: 00:05:00 •Use Your Positive Success to Bring Positive Success to Others: 00:05:00 •Identify Your Greatest Gift for Others: 00:02:00 •Seek Outside Counsel: 00:02:00 •Assess To Gain Understanding: 00:02:00 •Activity: Consolidate Insights on Your Gift: 00:02:00 •Live Out the People You Serve: 00:04:00 •Honor Your Commitments to Your Team: 00:03:00 •Honor Your Commitments to Yourself: 00:03:00 •Activity: Reflect On Your Business Practices: 00:02:00 •Live Out How Well You Serve Others: 00:02:00 •Harness Your Vision: 00:02:00 •Be a Go-Giver: 00:02:00 •Activity: Apply the Five Laws: 00:01:00 •Be Free From a World of Struggle and Hurt: 00:09:00 •Identify Whose Business It Is: 00:02:00 •Identify When It's Your Business: 00:02:00 •Identify When It's Other People's Business: 00:05:00 •Activity: Identify Whose Business It Is: 00:01:00 •Find Safety to Detach: 00:01:00 •Separate Your Life from Who You Are As a Person: 00:05:00 •Separate a Value from a Thought: 00:06:00 •Show Empathy without Picking up The Rope: 00:11:00 •Activity: Find Safety to Detach: 00:02:00 •Look Forward to the Next No: 00:01:00 •Take Turtle Steps to Detach: 00:03:00 •Take Bigger Steps to the Next No: 00:06:00 •Activity: Look Forward to the Next No: 00:01:00 •Assignment - Positive Psychology Masterclass: 00:00:00

Learn to create excellent team cultures by showing up as a trustworthy leader.

Discover the pivotal role of bystanders in addressing and preventing inappropriate behavior, bullying, harassment, and discrimination in the workplace. Recognize the significance of fostering workplace civility by acknowledging the damaging consequences of the bystander effect and acquire proactive strategies to cultivate a safer and more inclusive work environment. By identifying behaviors that contribute to workplace issues and taking on the role of active bystanders, individuals will develop the skills necessary to promote positive workplace norms and provide support to those impacted by inappropriate behavior. Learning Objectives Analyze the importance of workplace civility and its impact on employee well-being and team dynamics, emphasizing the role of bystanders in creating a safe and productive work environment.;Evaluate the steps to avoid the bystander effect, from interrupting problematic behavior to reporting incidents, fostering a culture where inappropriate behavior is not tolerated, and understanding the snowball effect of collective action.;Apply proactive strategies to prevent and address inappropriate behavior, harassment, and discrimination by becoming active bystanders, including recognizing unacceptable behaviors and supporting colleagues affected by them.

Let’s face it: no organisation can reach its true potential without having the talented people on board. This is why effective recruitment and workforce planning is essential to ensure that your business is able to achieve its goals. But where do you begin finding the right people for the role? How do you know that they will be a great fit for the organisation?

Enhance your training & mentoring skills with this CPD-accredited, QLS-endorsed course. Gain expertise & career growth with flexible learning.